MCP Contractor
A contract linter for AI agents that uses structured YAML contracts to define dependencies, business rules, and exports, enabling agents to work without breaking project conventions.
README
<p align="center"> <img src="https://img.shields.io/badge/MCP-Contract%20Linter-58a6ff?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9IndoaXRlIiBzdHJva2Utd2lkdGg9IjIiPjxwYXRoIGQ9Ik0xNCAySDZhMiAyIDAgMCAwLTIgMnYxNmEyIDIgMCAwIDAgMiAyaDEyYTIgMiAwIDAgMCAyLTJWOFoiLz48cGF0aCBkPSJNMTQgMnY2aDYiLz48cGF0aCBkPSJtOSAxNSAyIDIgNC00Ii8+PC9zdmc+" alt="MCP Contractor" /> <br/> <img src="https://img.shields.io/badge/runtime-Bun-f9f1e1?style=flat-square&logo=bun" alt="Bun" /> <img src="https://img.shields.io/badge/lang-TypeScript-3178c6?style=flat-square&logo=typescript&logoColor=white" alt="TypeScript" /> <img src="https://img.shields.io/badge/protocol-MCP-8b5cf6?style=flat-square" alt="MCP" /> <img src="https://img.shields.io/badge/contracts-YAML-cb171e?style=flat-square&logo=yaml" alt="YAML" /> <img src="https://img.shields.io/badge/output-XML-f48024?style=flat-square" alt="XML" /> <img src="https://img.shields.io/badge/tools-10-3fb950?style=flat-square" alt="9 Tools" /> </p>
MCP Contractor
AI agents shouldn't guess. They should read the contract.
MCP Contractor is a Model Context Protocol server that acts as a contract linter for AI. Instead of relying on ls, find, or scanning raw files, AI agents call MCP Contractor to understand a project through structured YAML contracts.
Each contract defines a feature's dependencies, exports, business rules, file structure, and types -- giving the AI everything it needs to work without breaking things.
Why
AI agents working on large codebases often:
- Break dependencies they didn't know existed
- Forget business rules buried in code comments
- Produce code that doesn't follow project conventions
- Lose context across feature boundaries
MCP Contractor solves this by making contracts the source of truth. The AI reads the contract before touching the code.
How It Works
Developer AI Agent (Claude Code)
| |
| writes contracts (.yaml) |
|----------------------------->|
| | calls MCP tools
| |----------------> MCP Contractor
| | |
| | <-- XML response |
| | (deps, rules, |
| | exports, types) |
| | |
| writes code that | |
| <-- respects contracts | |
| | |
| opens dashboard (browser) | |
|----------------------------->| http://localhost:8000
MCP Tools
9 tools available, organized by workflow:
Discovery
| Tool | Description |
|---|---|
search |
Search contracts with filters (query, status, dependsOn, dependedBy, owner, hasRules, hasViolations) |
get_feature |
Get the full contract of a feature as optimized XML |
get_dependencies |
Get dependency graph (direct + transitive + circular detection) |
Analysis
| Tool | Description |
|---|---|
compile |
Compile all contracts, return XML diagnostic report |
validate |
Verify implementation code matches contract declarations |
drift |
Detect drift between the index and actual contract files |
index |
Generate or update the contracts YAML index |
Mutation
| Tool | Description |
|---|---|
scaffold |
Generate a YAML contract template for a new feature (configurable basePath) |
update |
Modify an existing contract (metadata, deps, rules, files) |
Onboarding
| Tool | Description |
|---|---|
reference |
Get contract-driven development guide. Sections: workflow, tools, rules, claude-md |
All responses are token-optimized XML -- compact, action-oriented, no redundancy.
Example Workflows
AI exploring a new codebase:
search({ status: "active" }) -> overview of active features
get_feature({ feature: "auth" }) -> full contract details
get_dependencies({ feature: "auth" }) -> what auth depends on
AI before modifying code:
search({ dependsOn: "database" }) -> who depends on database?
validate({ feature: "database" }) -> is database currently valid?
get_feature({ feature: "database" }) -> read the rules before changing
AI creating a new feature:
scaffold({ feature: "payments", basePath: "src/modules", deps: "auth,database" })
update({ feature: "payments", addRules: "idempotent-charges", status: "draft" })
validate({ feature: "payments" })
AI checking health:
compile() -> any broken contracts?
drift() -> index up to date?
search({ hasViolations: true }) -> which features have problems?
Search Filters
The search tool supports combining multiple filters for precise queries:
| Filter | Type | Description |
|---|---|---|
query |
string | Text search across all fields (name, description, deps, exports, rules, files) |
status |
string | Filter by draft, active, or deprecated |
dependsOn |
string | Find features that depend on this feature |
dependedBy |
string | Find features that this feature depends on |
owner |
string | Filter by contract owner |
hasRules |
string | Find features with rules matching this ID |
hasViolations |
boolean | true = only broken features, false = only clean |
All filters are combinable: search({ dependsOn: "compiler", status: "active" })
Web Dashboard (for Humans)
A live dashboard auto-starts on localhost:8000 (auto-fallback to next port if busy):
| View | URL | Description |
|---|---|---|
| Summary | / |
Status bar, metric cards, features table with inline violations |
| Project | /project |
Tree view of contracts + humanized contract detail cards |
| Brain Link | /graph |
Interactive force-directed dependency graph (Canvas 2D, drag & hover) |
API endpoints for integration:
GET /api/data-- Dashboard summary (JSON)GET /api/contracts-- All compiled contracts (JSON)GET /api/graph-- Dependency graph nodes + edges (JSON)
Contract Validation
The validator checks your code against its contracts:
- exports-match -- Barrel exports must match what the contract declares
- deps-declared -- Imports from other features must be declared in dependencies
- no-circular-deps -- Circular dependencies between features are detected
- files-exist -- Declared files must exist in the filesystem
Feature discovery is dynamic -- the validator searches src/**/features/{name}/ and src/**/{name}/ to find feature directories, supporting any project structure.
Contract Discovery
Contracts are scanned from two locations:
contracts/-- Centralized project-wide contracts (flat scan)src/**/-- Feature-local contracts colocated with code (recursive**/*.contract.yaml)
Ignored directories: node_modules, dist, build, .git, .next, .nuxt, .svelte-kit, coverage, .turbo, .cache
Quick Start
Install
bun install
Connect to Claude Code
Create .mcp.json in your project root:
{
"mcpServers": {
"contract-mcp": {
"command": "bun",
"args": ["run", "src/app/index.ts"],
"cwd": "/path/to/contract-mcp"
}
}
}
Restart Claude Code. You'll see 10 new tools available. The dashboard opens automatically at http://localhost:8000.
Run Standalone
bun run dev # Start MCP server (stdio)
Contract Anatomy
Every feature has a .contract.yaml that follows this structure:
contract:
version: "1.0.0"
feature: auth
description: "Authentication and authorization"
owner: backend-team
status: active # draft | active | deprecated
dependencies:
internal:
- feature: database
reason: "Stores user sessions and credentials"
external:
- package: bcrypt
version: "^5.1.0"
reason: "Password hashing"
exports:
functions:
- name: authenticate
signature: "(credentials: Credentials) => Result<AuthToken, AuthError>"
description: "Validates credentials and returns a token"
pure: true
types:
- name: AuthToken
description: "JWT token wrapper with expiry"
rules:
- id: token-expiry
description: "Tokens must expire within 24 hours"
severity: error # error | warning | info
testable: true
- id: rate-limit
description: "Max 5 failed attempts per minute per IP"
severity: error
testable: true
files:
- path: src/features/auth/index.ts
purpose: "Barrel export"
- path: src/features/auth/auth.ts
purpose: "Core authentication logic"
The scaffold tool generates this template automatically:
scaffold({ feature: "auth", basePath: "src/modules", deps: "database,crypto", owner: "backend-team" })
XML Output (for AI)
Responses are optimized for token efficiency:
<?xml version="1.0" encoding="UTF-8"?>
<contract-mcp tool="search" status="success">
<results dependsOn="compiler" count="4">
<match feature="validator" status="draft" owner="adam" deps="compiler,contract-entity,dependency-graph" exports="validate,validateAll" rules="5">Verifica se o codigo corresponde aos contratos</match>
<match feature="dashboard" status="draft" owner="adam" deps="compiler,validator,indexer" exports="startDashboard,renderDashboard,renderHtml" rules="4">Web dashboard humanizado</match>
</results>
</contract-mcp>
One line per result. Attributes for data, text content for descriptions. Maximum information, minimum tokens.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.