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https://github.com/arsvendg/Stirling-PDF.git
synced 2026-07-14 10:34:06 +02:00
Add MCP server with OAuth/API-key auth (#6570)
Adds an optional MCP server (proprietary module) that exposes Stirling's PDF operations and AI capabilities to MCP clients. Off by default, zero footprint when disabled. ### What - New `/mcp` endpoint: streamable-HTTP + JSON-RPC 2.0; 8 tools (describe_operation, pages/convert/misc/security category tools, AI, upload, download). - Runs real operations over an internal loopback; results returned inline as base64 (small) or by fileId (large). ### Auth (two modes) - OAuth2 resource server: RFC 9728 protected-resource metadata, RFC 8707 audience binding, JWKS, `mcp.tools.read/write` scopes; binds each token to a provisioned Stirling account. - API-key mode: reuses Stirling per-user `X-API-KEY` (no IdP needed). ### Security - Per-user file ownership in FileStorage: async/queued writes scoped to the submitting user; legacy/owner-less files stay readable. - Admin allow/block list controls which operations are exposed. - Python engine gated behind a shared secret (`X-Engine-Auth`). - MCP filter chain is isolated and cannot weaken the main app's security. - Hardened: no upstream error-body leakage, log injection sanitized, fileId path/sidecar enumeration blocked. ### Config / footprint - Disabled by default (`mcp.enabled=false`); all beans `@ConditionalOnProperty`. --- ## Checklist ### General - [ ] I have read the [Contribution Guidelines](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/CONTRIBUTING.md) - [ ] I have read the [Stirling-PDF Developer Guide](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/DeveloperGuide.md) (if applicable) - [ ] I have read the [How to add new languages to Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/devGuide/HowToAddNewLanguage.md) (if applicable) - [ ] I have performed a self-review of my own code - [ ] My changes generate no new warnings ### Documentation - [ ] I have updated relevant docs on [Stirling-PDF's doc repo](https://github.com/Stirling-Tools/Stirling-Tools.github.io/blob/main/docs/) (if functionality has heavily changed) - [ ] I have read the section [Add New Translation Tags](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/devGuide/HowToAddNewLanguage.md#add-new-translation-tags) (for new translation tags only) ### Translations (if applicable) - [ ] I ran [`scripts/counter_translation.py`](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/docs/counter_translation.md) ### UI Changes (if applicable) - [ ] Screenshots or videos demonstrating the UI changes are attached (e.g., as comments or direct attachments in the PR) ### Testing (if applicable) - [ ] I have run `task check` to verify linters, typechecks, and tests pass - [ ] I have tested my changes locally. Refer to the [Testing Guide](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/DeveloperGuide.md#7-testing) for more details.
This commit is contained in:
Anthony Stirling
@@ -0,0 +1,160 @@
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"""
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Curated registry of agent capabilities the MCP server (Java side) is allowed to publish.
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Internal sub-agents (currently only ``ExecutionPlanningAgent`` - it lives behind the orchestrator
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and has no end-user-facing API surface) are intentionally absent. The handoff spec calls for
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"user-facing" capabilities only; revisit this list when adding a new agent and ask whether MCP
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clients should be able to invoke it directly.
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The Java side pulls ``/api/v1/agents/capabilities`` once at boot and again every few minutes; the
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manifest is the authoritative source for the ``stirling_ai`` MCP tool's operation enum.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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from pydantic import BaseModel
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from stirling.contracts import (
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AgentDraftRequest,
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AgentExecutionRequest,
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AgentRevisionRequest,
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Evidence,
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FolioManifest,
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PdfCommentRequest,
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PdfEditRequest,
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PdfQuestionRequest,
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)
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@dataclass(frozen=True)
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class AgentCapability:
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"""One row in the curated manifest.
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Attributes:
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id: stable capability identifier (used as the operation enum value in
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``stirling_ai``). Avoid renaming - clients persist these.
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description: one-line human-friendly summary shown inside MCP tool descriptions.
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input_model: Pydantic class whose JSON Schema becomes the capability's
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``input_schema``. Auto-derived; do not hand-write schemas.
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mode: ``"sync"`` if the capability returns content inline, ``"async"`` if it returns a
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plan that Java executes via the job pipeline.
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required_scope: coarse OAuth scope. ``mcp.tools.read`` for pure-read capabilities
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(Q&A, audits) and ``mcp.tools.write`` for anything that yields a plan / file.
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route: HTTP path Java POSTs to when invoking this capability. When a capability does
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not have a stable per-agent route yet, use the generic invoke fallback at
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``/api/v1/agents/invoke/{id}``.
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"""
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id: str
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description: str
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input_model: type[BaseModel]
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mode: str
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required_scope: str
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route: str
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EXPOSED_CAPABILITIES: list[AgentCapability] = [
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AgentCapability(
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id="pdf-question-answer",
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description="Answer a natural-language question about a PDF document.",
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input_model=PdfQuestionRequest,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/pdf-question",
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),
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AgentCapability(
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id="pdf-edit-plan",
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description=(
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"Produce an edit plan (a structured sequence of PDF operations) from a"
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" natural-language edit request. The plan is executed by Java through the job"
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" pipeline; this capability does not modify files itself."
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),
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input_model=PdfEditRequest,
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mode="async",
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required_scope="mcp.tools.write",
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route="/api/v1/pdf-edit",
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),
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AgentCapability(
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id="agent-draft",
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description=(
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"Draft a structured agent specification from a free-text description of the task the user wants automated."
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),
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input_model=AgentDraftRequest,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/ai/agents/draft",
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),
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AgentCapability(
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id="agent-revise",
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description=("Revise an existing draft agent specification based on user feedback or constraint changes."),
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input_model=AgentRevisionRequest,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/ai/agents/revise",
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),
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AgentCapability(
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id="math-audit-examine",
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description=(
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"Examine a folio manifest of financial / numeric documents and surface the"
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" evidence that needs to be checked for arithmetic consistency."
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),
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input_model=FolioManifest,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/ai/math-auditor-agent/examine",
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),
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AgentCapability(
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id="math-audit-deliberate",
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description=(
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"Render a deliberated verdict on a single piece of evidence the examine step"
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" surfaced (does the arithmetic check out, with what caveats)."
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),
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input_model=Evidence,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/ai/math-auditor-agent/deliberate",
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),
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AgentCapability(
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id="pdf-comment-generate",
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description="Generate inline review comments for a PDF document.",
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input_model=PdfCommentRequest,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/pdf-comment/generate",
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),
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AgentCapability(
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id="agent-next-action",
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description=(
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"Decide the next execution step for an in-progress agent workflow. Returns a"
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" ToolCall, Completed, or CannotContinue action."
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),
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input_model=AgentExecutionRequest,
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mode="sync",
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required_scope="mcp.tools.read",
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route="/api/v1/agents/next-action",
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),
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]
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def manifest_payload() -> dict[str, Any]:
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"""Serialize the curated registry to the wire shape consumed by Java.
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Schema is derived from ``input_model.model_json_schema()`` so we never hand-write JSON
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Schema - the Pydantic model is the single source of truth.
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"""
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items: list[dict[str, Any]] = []
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for cap in EXPOSED_CAPABILITIES:
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items.append(
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{
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"id": cap.id,
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"description": cap.description,
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"input_schema": cap.input_model.model_json_schema(),
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"mode": cap.mode,
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"required_scope": cap.required_scope,
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"route": cap.route,
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}
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)
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return {"version": 1, "capabilities": items}
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@@ -18,8 +18,10 @@ from stirling.agents import (
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)
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from stirling.agents.ledger import MathAuditorAgent
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from stirling.agents.pdf_comment import PdfCommentAgent
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from stirling.api.engine_auth import EngineSharedSecretMiddleware
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from stirling.api.middleware import UserIdMiddleware
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from stirling.api.routes import (
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agent_capabilities_router,
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agent_draft_router,
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document_router,
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execution_router,
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@@ -115,6 +117,7 @@ async def lifespan(fast_api: FastAPI):
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app = FastAPI(title="Stirling AI Engine", lifespan=lifespan, version="0.1.0")
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app.add_middleware(UserIdMiddleware)
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app.add_middleware(EngineSharedSecretMiddleware)
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app.include_router(orchestrator_router)
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app.include_router(pdf_edit_router)
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app.include_router(pdf_question_router)
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@@ -123,6 +126,7 @@ app.include_router(execution_router)
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app.include_router(document_router)
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app.include_router(ledger_router)
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app.include_router(pdf_comments_router)
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app.include_router(agent_capabilities_router)
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@app.get("/health", response_model=HealthResponse)
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@@ -0,0 +1,99 @@
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"""
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Shared-secret middleware that locks the engine to the trusted Java backend.
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Config (resolved via :class:`stirling.config.AppSettings`/pydantic-settings):
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``STIRLING_ENGINE_SHARED_SECRET`` - non-public routes need ``X-Engine-Auth`` or 401.
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``STIRLING_ENGINE_REQUIRE_AUTH`` - fail closed with 503 when truthy and no secret is set.
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"""
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from __future__ import annotations
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import hmac
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import logging
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from collections.abc import Iterable
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from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint
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from starlette.requests import Request
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from starlette.responses import JSONResponse, Response
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from starlette.types import ASGIApp
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from stirling.config import load_settings
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logger = logging.getLogger(__name__)
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_HEADER = "X-Engine-Auth"
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# Public paths (liveness + docs); everything else needs the secret when configured.
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_PUBLIC_PREFIXES: tuple[str, ...] = (
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"/health",
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"/docs",
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"/redoc",
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"/openapi.json",
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)
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class EngineSharedSecretMiddleware(BaseHTTPMiddleware):
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"""Reject non-public requests lacking the shared secret.
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Non-public path: secret set -> require matching X-Engine-Auth (else 401); else require flag
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truthy -> 503 (fail-closed); else allow through.
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Secret/require values come from :class:`stirling.config.AppSettings` by default; tests can
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pass them explicitly to avoid touching the lru-cached settings.
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"""
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def __init__(
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self,
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app: ASGIApp,
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public_prefixes: Iterable[str] = _PUBLIC_PREFIXES,
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*,
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secret: str | None = None,
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require: bool | None = None,
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) -> None:
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super().__init__(app)
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self._public_prefixes = tuple(public_prefixes)
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if secret is None or require is None:
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settings = load_settings()
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if secret is None:
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secret = settings.engine_shared_secret
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if require is None:
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require = settings.engine_require_auth
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self._secret = secret or ""
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self._require = bool(require)
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if self._secret:
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logger.info(
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"Engine shared-secret enforcement ENABLED: non-public routes require a valid %s"
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" header (constant-time compared).",
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_HEADER,
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)
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elif self._require:
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logger.error(
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"STIRLING_ENGINE_REQUIRE_AUTH is enabled but STIRLING_ENGINE_SHARED_SECRET is not"
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" set - the engine will REFUSE every non-public request (HTTP 503, fail-closed)"
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" until a shared secret is configured.",
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)
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else:
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logger.warning(
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"STIRLING_ENGINE_SHARED_SECRET not set - engine shared-secret enforcement is"
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" DISABLED. The AI and document routes then trust the caller-supplied X-User-Id"
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" header alone. Set this secret (and STIRLING_ENGINE_REQUIRE_AUTH=true) in any"
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" deployment that exposes the engine beyond localhost.",
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)
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def _is_public(self, path: str) -> bool:
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return any(path == p or path.startswith(p + "/") for p in self._public_prefixes)
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async def dispatch(self, request: Request, call_next: RequestResponseEndpoint) -> Response:
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if not self._is_public(request.url.path):
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if self._secret:
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offered = request.headers.get(_HEADER) or ""
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# Constant-time compare to avoid timing leaks.
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if not hmac.compare_digest(offered, self._secret):
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return JSONResponse({"detail": "Missing or invalid X-Engine-Auth header."}, status_code=401)
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elif self._require:
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# Fail closed: require flag set but no secret configured.
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return JSONResponse(
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{"detail": ("Engine authentication is required but no shared secret is configured.")},
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status_code=503,
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)
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return await call_next(request)
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@@ -1,3 +1,4 @@
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from .agent_capabilities import router as agent_capabilities_router
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from .agent_drafts import router as agent_draft_router
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from .documents import router as document_router
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from .execution import router as execution_router
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@@ -8,6 +9,7 @@ from .pdf_edit import router as pdf_edit_router
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from .pdf_questions import router as pdf_question_router
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__all__ = [
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"agent_capabilities_router",
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"agent_draft_router",
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"document_router",
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"execution_router",
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@@ -0,0 +1,22 @@
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"""GET ``/api/v1/agents/capabilities`` - the manifest the Java MCP server pulls at boot."""
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from __future__ import annotations
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from typing import Any
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from fastapi import APIRouter
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from stirling.api.agent_capabilities import manifest_payload
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router = APIRouter(prefix="/api/v1/agents", tags=["agents"])
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@router.get("/capabilities")
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def get_capabilities() -> dict[str, Any]:
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"""Return the curated agent capabilities manifest.
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Gated by ``EngineSharedSecretMiddleware`` when the ``STIRLING_ENGINE_SHARED_SECRET`` env var
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is configured. In dev/local mode (no secret set), the endpoint is open - the engine binds to
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localhost only by default, so this is acceptable while iterating.
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"""
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return manifest_payload()
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@@ -102,6 +102,11 @@ class AppSettings(BaseSettings):
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posthog_api_key: str = Field(validation_alias="STIRLING_POSTHOG_API_KEY")
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posthog_host: str = Field(validation_alias="STIRLING_POSTHOG_HOST")
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# Shared secret enforced by EngineSharedSecretMiddleware. Empty disables enforcement
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# unless engine_require_auth is set, in which case the engine fails closed (503).
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engine_shared_secret: str = Field(default="", validation_alias="STIRLING_ENGINE_SHARED_SECRET")
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engine_require_auth: bool = Field(default=False, validation_alias="STIRLING_ENGINE_REQUIRE_AUTH")
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def _configure_logging(level_name: str, log_file: str, http_debug: bool) -> None:
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"""Configure the ``stirling`` logger hierarchy."""
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