About LegalDocAnalysis
LegalDocAnalysis is an MCP server published by Shourya3126 in the Other category.
Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/Shourya3126/LegalDocAnalysisThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
Cequence AI Gateway Integration
This project can route LLM traffic through the Cequence AI Gateway or OpenRouter.
Toggle
Set environment variable to enable Cequence:
CEQUENCE_ENABLED=true
CEQUENCE_BASE_URL=https://legalmind.cequence.ai/v1
CEQUENCE_MCP_ENDPOINT=https://ztaip-y087xwfe-4xp4r634bq-uc.a.run.app/mcp
CEQUENCE_SSE_ENDPOINT=https://ztaip-y087xwfe-4xp4r634bq-uc.a.run.app/sse
When disabled (default), the app uses OpenRouter. Ensure OPENROUTER_API_KEY is present.
Auth
The gateway uses OAuth 2.0 Client Credentials with global scope "Agent Integration". Tokens are handled by the gateway; no additional app config is required.
Notes
- SSE is deprecated from MCP; prefer streamable HTTP when available.
- Backend code selects the base URL via
Config.CEQUENCE_ENABLED. AgentLegal: Legal Document Analysis MCP Server Overview AgentLegal is a Multi-Cloud Proxy (MCP) server enabling autonomous agents to analyze legal documents via OpenRouter LLMs. Built with FastAPI (backend), React (frontend), and proxied by Cequence AI Gateway, it supports document uploads, clause extraction, and natural language queries. Hosted on Render; MCP published on Smithery. Setup
Backend (Render):
Repo: agentlegal-backend. Deploy: Sign in to render.com (no credit card), link GitHub repo, set: Environment: Python 3. Build: pip install -r requirements.txt. Start: uvicorn src.main:app --host 0.0.0.0 --port $PORT. Env Vars: OPENROUTER_API_KEY=your_key.
URL: https://agentlegal-backend.onrender.com.
Frontend (Render):
Repo: agentlegal-frontend. Deploy: Link repo, set: Build: npm install && npm run build. Publish: build. Env Vars: REACT_APP_MCP_URL=https://agentlegal-mcp.cequence.ai/mcp.
URL: https://agentlegal-frontend.onrender.com.
Cequence AI Gateway:
Log in (hackathon credentials). Create App: Upload docs/openapi.json. Create MCP Server: Base URL: https://agentlegal-backend.onrender.com. Path Prefix: /mcp. Auth: None (public for demo; secure at gateway if needed). Scopes: legal:read, legal:write, llm:invoke. Policies: Rate-limit (100/min for legal:write), threat detection.
Deploy: Get MCP URL (e.g., https://agentlegal-mcp.cequence.ai/mcp). Test: curl https://agentlegal-mcp.cequence.ai/mcp/health.
Smithery:
Go to https://smithery.ai/new. Add: Name: AgentLegal MCP Server. MCP URL: https://agentlegal-mcp.cequence.ai/mcp. Tools: /mcp/analyze/upload, /mcp/analyze/query, /mcp/analyze/clauses/{type}. Auth: None. OpenAPI: Upload docs/openapi.json.
Link: https://smithery.ai/agentlegal-mcp.
Endpoints
POST /mcp/analyze/upload (legal:write): Upload PDF/text. POST /mcp/analyze/query (legal:read): Query document. GET /mcp/analyze/clauses/{type} (legal:read): Extract clause (e.g., payment). GET /mcp/health: Check connectivity. Auth: None.
Smithery Hosting
https://smithery.ai/agentlegal-mcp
Demo
Video: Shows LangChain/Claude Desktop → MCP → response, frontend UI, Cequence logs. Run client: python agent_client/demo.py --mcp_url=$MCP_URL.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.