contract-risk-analyzer
Uses OpenAI's GPT-4o model to analyze financial contracts, extract clauses, flag risk terms, summarize obligations, and compare contract versions.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@contract-risk-analyzerAnalyze risk terms in the latest supplier contract PDF"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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)Related MCP server: legal-impact-mapper
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.serverMCP endpoint:
http://localhost:8000/mcpHealth check:
http://localhost:8000/healthThe
.envfile must containOPENAI_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/healthMCP 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.serverand binds to$PORT(default8000).Health check:
GET /healthreturns{"status":"ok"}.Environment: Set
OPENAI_API_KEYin Railway service variables.Current deployment:
https://contract-risk-analyzer-production-410a.up.railway.app.
Tech stack
FastMCP
OpenAI GPT-4o (via
openaiSDK)PyMuPDF (
pymupdf)Pydantic
LangGraph
Docker
Railway
This server cannot be deployed
Maintenance
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