muhammed-abdelghany/rest_api_mcp
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A Model Context Protocol (MCP) server for authenticated REST APIs. Drop it into any project, point it at your API, and let AI agents call endpoints — with , , , and — all without writing a single...
개요
A Model Context Protocol (MCP) server for authenticated REST APIs. Drop it into any project, point it at your API, and let AI agents call endpoints — with , , , and — all without writing a single line of auth code. No installation needed. Add this to your project's .vscode/mcp.json and VS Code will download and run the package automatically: This always uses the latest published version from npm. See VS Code mcp.json Examples for a full config. Add this to your project's .vscode/mcp.json: That's it. The agent can now: 1. Search for endpoints by keyword 2. Call any endpoint with automatic authentication 3. Fetch the full OpenAPI spec for schema inspection All configuration is done via environment variables in mcp.json. No code changes required. See Environment Variables Reference for the full list. Fuzzy-search the API spec by keyword. Returns matching endpoints with method, path, summary, tags, and required parameters.
README
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rest-api-mcp
A Model Context Protocol (MCP) server for authenticated REST APIs.
Drop it into any project, point it at your API, and let AI agents call endpoints — with auto-login, 2FA support, Swagger spec fetch, and fuzzy endpoint search — all without writing a single line of auth code.
Table of Contents
- Features
- Installation
- Quick Start
- Configuration
- Tools
- Authentication Flows
- Multi-API Setup
- VS Code mcp.json Examples
- How It Works
- Environment Variables Reference
- Troubleshooting
Features
| Capability | Description |
|---|---|
| Auto-login | Logs in automatically before every request; re-logins when token expires |
| Token caching | 20-second TTL cache — survives rapid sequential calls |
| Auto-discovery | Finds the login endpoint by scanning the Swagger spec (no config needed) |
| Auto token detection | Tries 9 common token paths (data.access_token, accessToken, token, …) |
| AI-driven token detection | inspect_login tool exposes raw responses + heuristic suggestions so the AI can pick the exact token path |
| 2FA / OTP support | Two-step auth: login → verify-otp, session identifiers forwarded automatically |
| Custom session fields | Override hardcoded session candidates via verify_session_fields in request() |
| Extra login fields | source, userRole, channel, device_id — any field, via JSON env var |
| Fuzzy endpoint search | Find endpoints by keyword across path, summary, description, tags, operationId |
| Swagger spec fetch | Retrieve and inspect the full OpenAPI spec |
| SSL bypass | Optional for staging/dev environments with self-signed certs |
| Response truncation | Configurable size limit to keep responses in context |
Installation
Option A — Use via npx (recommended)
No installation needed. Add this to your project’s .vscode/mcp.json and VS Code will download and run the package automatically:
{
"command": "npx",
"args": ["-y", "rest-api-mcp"]
}
This always uses the latest published version from npm. See VS Code mcp.json Examples for a full config.
Option B — Use locally (for development / offline)
git clone https://github.com/Muhammed-AbdelGhany/rest_api_mcp
cd rest_api_mcp
npm install && npm run build
Then point VS Code at the local build:
{설치
npx -y rest-api-mcp