Skip to main content
Glama
deenesjakoruzh
himnishpersonal

contract-risk-analyzer

by himnishpersonal
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

contract-risk-analyzer

Contract Risk Analyzer is a FastMCP server + LangGraph workflow that ingests financial contract PDFs, extracts key clauses and obligations, flags known risk terms with severity, compares contract versions, and synthesizes everything into a structured risk brief for lawyers, risk teams, and operators who need fast, explainable contract triage.

The MCP tools accept either a local file_path or a remote pdf_url. For hosted deployments such as Railway, use pdf_url so the server can download the PDF into temporary storage before analysis.

Architecture (high level)

PDF
  |
  v
FastMCP_Server
  |
  +--> extract_clauses
  +--> flag_risk_terms
  +--> summarize_obligations
  +--> compare_contracts
  |
  v
LangGraph_Agent (orchestrates tools)
  |
  v
RiskBrief (Pydantic structured output)

Setup (local)

cd contract-risk-analyzer
cp .env.example .env
source .venv/bin/activate  # if you already created the project virtualenv
pip install -e ".[dev]"
python -m contract_risk_analyzer.server

  • MCP endpoint: http://localhost:8000/mcp

  • Health check: http://localhost:8000/health

  • The .env file must contain OPENAI_API_KEY.

Connecting from Claude Desktop (MCP client)

Option A: Run as a local STDIO server (Claude Desktop spawns it)

In Claude Desktop, add an MCP server entry similar to:

{
  "mcpServers": {
    "contract-risk-analyzer": {
      "command": "python",
      "args": ["-m", "contract_risk_analyzer.server"],
      "env": {
        "OPENAI_API_KEY": "YOUR_KEY_HERE"
      }
    }
  }
}

Option B: Connect to the local HTTP server

If you run the server yourself (python -m contract_risk_analyzer.server), bridge Claude Desktop to the local MCP HTTP endpoint with mcp-remote:

{
  "mcpServers": {
    "contract-risk-analyzer": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://127.0.0.1:8000/mcp",
        "--allow-http"
      ]
    }
  }
}

Option C: Connect to the deployed Railway server

The deployed server is available at:

  • Health check: https://contract-risk-analyzer-production-410a.up.railway.app/health

  • MCP endpoint: https://contract-risk-analyzer-production-410a.up.railway.app/mcp

Claude Desktop config:

{
  "mcpServers": {
    "contract-risk-analyzer": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://contract-risk-analyzer-production-410a.up.railway.app/mcp"
      ]
    }
  }
}

Example tool calls

Input source rules

For single-contract tools, provide exactly one of:

{
  "file_path": "/app/samples/contract.pdf"
}

or:

{
  "pdf_url": "https://example.com/contracts/contract.pdf"
}

For compare_contracts, provide exactly one source for each side:

{
  "pdf_url_a": "https://example.com/contracts/v1.pdf",
  "pdf_url_b": "https://example.com/contracts/v2.pdf"
}

Remote PDFs are downloaded to temporary storage, capped at 50 MB per PDF, and deleted after each tool call.

extract_clauses

Input:

{
  "pdf_url": "https://example.com/contracts/isda.pdf",
  "clause_type": "termination events"
}

Sample output:

[
  {
    "section_name": "ARTICLE_VII TERMINATION",
    "clause_type": "termination events",
    "raw_text": "…",
    "plain_english": "…",
    "page_references": [12, 13]
  }
]

flag_risk_terms

Input:

{ "pdf_url": "https://example.com/contracts/isda.pdf" }

Sample output:

[
  {
    "term": "cross-default",
    "context": "…",
    "risk_explanation": "…",
    "severity": "high",
    "page_reference": 9
  }
]

summarize_obligations

Input:

{ "pdf_url": "https://example.com/contracts/isda.pdf" }

Sample output:

[
  {
    "party": "Borrower",
    "obligations": ["Deliver monthly financial statements…"],
    "key_deadlines": ["Within 30 days after month-end…"],
    "conditions": ["So long as no Event of Default has occurred…"]
  }
]

compare_contracts

Input:

{
  "pdf_url_a": "https://example.com/contracts/v1.pdf",
  "pdf_url_b": "https://example.com/contracts/v2.pdf"
}

Sample output:

{
  "added_clauses": ["New collateral top-up requirement…"],
  "removed_clauses": ["Removed cure period for payment default…"],
  "materially_changed_clauses": [
    {
      "section_name": "ARTICLE_IV EVENTS_OF_DEFAULT",
      "change_summary": "Acceleration now triggers immediately…",
      "risk_note": "Increases lender leverage; reduces borrower flexibility."
    }
  ],
  "risk_delta": "Overall risk increased for Borrower due to tighter default/acceleration terms."
}

Deployment (Railway)

  • Build: Railway will build the container from Dockerfile.

  • Run: The container runs python -m contract_risk_analyzer.server and binds to $PORT (default 8000).

  • Health check: GET /health returns {"status":"ok"}.

  • Environment: Set OPENAI_API_KEY in Railway service variables.

  • Current deployment: https://contract-risk-analyzer-production-410a.up.railway.app.

Tech stack

  • FastMCP

  • OpenAI GPT-4o (via openai SDK)

  • PyMuPDF (pymupdf)

  • Pydantic

  • LangGraph

  • Docker

  • Railway

This server cannot be installed

F
license - not found
-
quality - not tested
C
maintenance

How are these scores calculated?

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/himnishpersonal/contract-risk-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server