ClauseLens MCP
Enables Claude or Cursor to act as a contract analyst by providing tools for document fetching, clause segmentation, span verification, and risk taxonomy lookup, with no server-side LLM calls or document retention.
README
ClauseLens MCP
ClauseLens is a production remote MCP (Model Context Protocol) server that turns Claude or Cursor into a contract analyst. It exposes structured tools for fetching documents, segmenting clauses, verifying spans, and accessing a risk taxonomy — the connecting LLM does all reasoning. No documents are retained and no LLM calls are made server-side.
Architecture
┌─────────────────────┐
│ Claude / Cursor │ (does all reasoning, zero server-side LLM calls)
└────────┬────────────┘
│ HTTPS + JWT (OAuth 2.1 via WorkOS AuthKit)
▼
┌─────────────────────┐
│ Railway (public │ (TLS termination, public HTTPS URL)
│ HTTPS endpoint) │
└────────┬────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ FastMCP 3.x (Streamable HTTP) │
│ │
│ Auth middleware: JWT validation + rate limiting │
│ │
│ Tools: │
│ fetch_document ──► SSRF-hardened HTTP fetch │
│ segment_clauses ──► heuristic clause splitter │
│ verify_spans ──► grounding guardrail │
│ get_risk_taxonomy ► taxonomy lookup │
│ │
│ Resources: │
│ clauselens://taxonomy │
│ clauselens://severity-rubric │
│ │
│ Prompt: │
│ analyze_contract │
│ │
│ No document retention — all processing in-memory │
└─────────────────────────────────────────────────────┘
MCP Surface
Tools
| Tool | Description |
|---|---|
fetch_document(url) |
SSRF-hardened HTTP fetch. Extracts readable text via trafilatura. 10s timeout, 2MB cap, 100k char extracted text cap. Rate-limited per user (10 req/hour default). Returns DocumentText. |
segment_clauses(text) |
Splits contract text into clauses with exact character offsets. Invariant: text[c.char_start:c.char_end] == c.text. Returns list[Clause]. |
verify_spans(text, spans) |
Grounding guardrail. Verifies that clause spans still match the original text. Claude must drop any clause that fails. Returns VerificationResult. |
get_risk_taxonomy() |
Returns the 15 risk categories with definitions and signal language. Returns dict. |
Resources
| Resource URI | Description |
|---|---|
clauselens://taxonomy |
15 risk categories in markdown format |
clauselens://severity-rubric |
4-level severity scale: critical, high, medium, low |
Prompt
analyze_contract(document, is_url, perspective)
Injects a full 9-step contract analysis workflow into the conversation.
| Parameter | Type | Description |
|---|---|---|
document |
string | Contract text or URL |
is_url |
bool | Whether document is a URL to fetch |
perspective |
string | Analyzing party's perspective (e.g. "vendor", "buyer") |
Connecting Claude
- Go to Claude.ai → Settings → Integrations → Add MCP Server
- Enter the MCP URL:
https://YOUR-SUBDOMAIN.railway.app - Sign in with WorkOS AuthKit when prompted
- The ClauseLens tools, resources, and prompt will now be available in Claude
Deploy to Railway
Prerequisites
- Railway account
- Railway CLI:
npm install -g @railway/cli - WorkOS account with AuthKit configured (see WorkOS AuthKit Setup)
Steps
-
Fork or clone this repository:
git clone https://github.com/YOUR_USERNAME/clauselens-mcp.git cd clauselens-mcp -
Log in and link to Railway:
railway login railway link -
Deploy:
railway up -
Set environment variables in the Railway dashboard (Project → Variables):
Variable Description WORKOS_CLIENT_IDWorkOS application client ID (e.g. client_01...)WORKOS_API_KEYWorkOS API key (e.g. sk_live_...)WORKOS_JWKS_URIJWKS endpoint: https://api.workos.com/sso/jwks/<client_id>WORKOS_AUDIENCEJWT audience claim, set to clauselensRATELIMIT_REQUESTSRequests per window per user (default: 10)RATELIMIT_WINDOW_SECONDSRate limit window in seconds (default: 3600)PORTPort for the server (Railway sets this automatically; default: 8000)MCP_PUBLIC_URLFull public URL of the MCP endpoint, e.g. https://YOUR-SUBDOMAIN.railway.app/mcp -
Railway assigns a public HTTPS URL automatically. Use it as your MCP Server URL.
Local Development
-
Install dependencies:
pip install -r requirements.txt -
Copy
.env.exampleand fill in your values:cp .env.example .env # edit .env with your WorkOS credentials -
Start the server:
python server.py
The server will listen on http://localhost:8000/mcp by default.
Running Tests
pip install -r requirements-dev.txt
pytest -v
The test suite contains 47 tests covering tools, auth middleware, rate limiting, SSRF hardening, and schema validation.
WorkOS AuthKit Setup
- Go to workos.com and create an account
- Navigate to AuthKit → Applications
- Create or select an application
- Collect the following values:
- Client ID: shown on the application overview page
- API Key: found under API Keys in your WorkOS dashboard
- JWKS URI:
https://api.workos.com/sso/jwks/<your-client-id>
- Set
WORKOS_AUDIENCEtoclauselens(must match theaudclaim in issued JWTs)
Security
SSRF hardening: fetch_document blocks requests to private IP ranges (RFC 1918, loopback, link-local, metadata endpoints), validates schemes (HTTPS only in production), and enforces a 10-second timeout with a 2MB response cap.
No document retention: All document processing happens in-memory during the request lifecycle. No contract text, extracted content, or analysis results are stored, logged, or persisted anywhere.
Rate limiting: Per-user token-bucket rate limiter enforced in-process. Default: 10 requests per hour. Configurable via RATELIMIT_REQUESTS and RATELIMIT_WINDOW_SECONDS.
Authentication: Every request must carry a valid JWT issued by WorkOS AuthKit. Unauthenticated or invalid requests are rejected before any tool logic runs.
Disclaimer
ClauseLens provides automated information, not legal advice.
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