flask-mcp-server

flask-mcp-server

Flask-based Model Context Protocol (MCP) server for Python. Drop it into any Flask app or run it standalone.

Category
Visit Server

README

flask-mcp-server

Flask-based Model Context Protocol (MCP) server for Python. Drop it into any Flask app or run it standalone. Ships with security and ops features out of the box.

Spec target: MCP 2025-06-18 — Streamable HTTP transport with a unified /mcp endpoint (POST for JSON-RPC; GET for SSE). Back-compat routes retained.

Package version: 0.6.1


Table of Contents


Requirements

  • Python 3.9+
  • Flask 3.x (auto-installed)

Install

From PyPI

pip install flask-mcp-server

Add to requirements.txt from a file path:

flask-mcp-server==0.6.1

Quick Start

Integrated into an existing Flask app (integrated HTTP):

from flask import Flask
from flask_mcp_server import mount_mcp, Mcp
from flask_mcp_server.http_integrated import mw_auth, mw_ratelimit, mw_cors

app = Flask(__name__)

@Mcp.tool(name="sum")
def sum_(a: int, b: int) -> int:
    return a + b

# Mount at /mcp with useful middlewares
mount_mcp(app, url_prefix="/mcp", middlewares=[mw_auth, mw_ratelimit, mw_cors])

if __name__ == "__main__":
    app.run(port=8765)

Dedicated server app (ships with docs endpoints):

flask-mcp serve-http
# Swagger: http://127.0.0.1:8765/swagger
# OpenAPI: /docs.json

STDIO transport:

flask-mcp serve-stdio

What’s new in 0.6.1

  • Unified MCP endpoint (/mcp):
    • POST a single JSON-RPC message (request/notification/response). If the Accept header includes text/event-stream, the server streams the response via SSE; otherwise returns JSON.
    • GET to open an SSE stream for server messages (optional). Supports Last-Event-ID for resumability in future minor releases.
  • Protocol header: Accepts MCP-Protocol-Version: 2025-06-18 (or 2025-03-26 for back-compat); others => 400 Bad Request.
  • Sessions (minimal): If the POSTed method is "initialize", response includes Mcp-Session-Id header. Clients can include this header on subsequent requests.
  • Origin validation: Optional FLASK_MCP_ALLOWED_ORIGINS (comma-separated). If set, only requests with matching Origin are allowed at the unified MCP endpoint.
  • Backwards compatibility: legacy endpoints /mcp/list, /mcp/call, /mcp/batch remain.

Configuration (env vars)

Auth & roles

export FLASK_MCP_AUTH_MODE=apikey     # none|apikey|hmac
export FLASK_MCP_API_KEYS="k1,k2"
export FLASK_MCP_API_KEYS_MAP="k1:admin|user;k2:user"   # per-key roles
export FLASK_MCP_HMAC_SECRET="supersecret"              # if using HMAC

Rate limiting

export FLASK_MCP_RATE_LIMIT=60/m      # format: <N>/<s|m|h|d>
export FLASK_MCP_RATE_SCOPE=key       # ip|key

CORS, Origins & Logging

export FLASK_MCP_ALLOWED_ORIGINS="http://localhost:3000,https://your.app"
export FLASK_MCP_CORS_ORIGIN="*"
export FLASK_MCP_LOG_FORMAT=json

Providers autoload

export FLASK_MCP_PROVIDERS="my_pkg.mcp_provider:Provider,another.mod:Provider"

Core Concepts

  • Registry — stores tools, resources, prompts, completions.
  • Decorators@tool, @resource, @prompt, @completion_provider register elements.
  • FacadeMcp.tool(...) etc. (fluent, same params as decorators).
  • Roles/ACL — per-element role lists checked at call time.
  • TTL cache — per-tool/resource memoization via ttl=int_seconds (memory backend).
  • Middleware — pluggable pipeline for integrated HTTP routes.
  • Service Providersregister(container, registry) and boot(app, registry) to wire services/routes.
  • Transports — Streamable HTTP unified endpoint, STDIO, and SSE notifications (hello + registry change).

Examples

A. Unified MCP endpoint usage

# List registry (JSON)
curl -s -X POST http://127.0.0.1:8765/mcp \
  -H "Content-Type: application/json" \
  -H "MCP-Protocol-Version: 2025-06-18" \
  -d '{"jsonrpc":"2.0","id":1,"method":"mcp.list"}' | jq .

# Call a tool over SSE
curl -N -X POST http://127.0.0.1:8765/mcp \
  -H "Accept: text/event-stream, application/json" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":"2","method":"mcp.call","params":{"kind":"tool","name":"sum","args":{"a":5,"b":7}}}'

B. Tools with roles & TTL cache

from flask_mcp_server import Mcp

@Mcp.tool(name="math.add", roles=["user","admin"], ttl=30)
def add(a: int, b: int) -> int:
    return a + b

C. Resources & ResourceTemplates

from flask_mcp_server import resource, ResourceTemplate

@resource(name="profile", ttl=15)
def profile(user_id: int) -> dict:
    return {"id": user_id, "name": "Alice"}

tpl = ResourceTemplate("https://api.example.com/items/{id}")
url = tpl.expand(id=42)  # "https://api.example.com/items/42"

D. Prompts & Completions

from flask_mcp_server import prompt, completion_provider
from typing import List

@prompt(name="greet")
def greet(name: str) -> str:
    return f"Write a warm one-line greeting for {name}."

@completion_provider(name="cities")
def cities(prefix: str="") -> List[str]:
    base = ["Dhaka","Chittagong","Khulna","Rajshahi"]
    return [c for c in base if c.lower().startswith(prefix.lower())]

E. Batch Calls (compat)

curl -s -X POST http://127.0.0.1:8765/mcp/batch \
  -H "Content-Type: application/json" \
  -d '[
    {"kind":"tool","name":"math.add","args":{"a":1,"b":2}},
    {"kind":"prompt","name":"greet","args":{"name":"Bashar"}}
  ]' | jq .

F. SSE (hello + registry events)

# GET /mcp opens an SSE stream and emits a hello event and future registry change events.
curl -N http://127.0.0.1:8765/mcp

G. Auth: API keys & HMAC

export FLASK_MCP_AUTH_MODE=apikey
export FLASK_MCP_API_KEYS="secret123"
curl -s http://127.0.0.1:8765/mcp/list -H "X-API-Key: secret123"

# HMAC
python - <<'PY'
import hmac, hashlib, json, requests
secret = b"supersecret"
body = json.dumps({"jsonrpc":"2.0","id":1,"method":"mcp.list"}).encode()
sig = hmac.new(secret, body, hashlib.sha256).hexdigest()
print(requests.post("http://127.0.0.1:8765/mcp",
    headers={"X-Signature":"sha256="+sig,"Content-Type":"application/json"},
    data=body).text)
PY

H. Rate limiting

export FLASK_MCP_RATE_LIMIT=100/m
export FLASK_MCP_RATE_SCOPE=key      # or 'ip'

I. Service Providers

# my_pkg/mcp_provider.py
from flask_mcp_server import ServiceProvider, Mcp

class Provider(ServiceProvider):
    def register(self, container, registry):
        @Mcp.tool(name="time.now")
        def now() -> str:
            import time; return str(int(time.time()))

J. Discovery (auto-register)

# Suppose your tools live in package 'my_tools'
python -c "from flask_mcp_server.discovery import discover_package; discover_package('my_tools')"

K. CLI

flask-mcp serve-http      # unified /mcp endpoint
flask-mcp serve-stdio     # stdio transport
flask-mcp list            # print registry

L. OpenAPI & Swagger

  • /docs.json — OpenAPI 3.1 JSON
  • /swagger — Swagger UI

FAQ

Is Redis required? No. 0.6.1 uses in-memory backends by default.

Can I mount it into any Flask project? Yes—mount_mcp(app, url_prefix="/mcp").

Does it fully implement all MCP JSON-RPC methods? It implements the transport semantics and common operations (mcp.list, mcp.call, compat endpoints). If you need additional method names or shapes to match a specific client, open an issue or extend in a Service Provider.


Troubleshooting

  • 400 unsupported_protocol_version — set MCP-Protocol-Version: 2025-06-18.
  • 403 origin_not_allowed — configure FLASK_MCP_ALLOWED_ORIGINS or remove it.
  • 401 invalid_api_key / invalid_signature — check headers and env vars.
  • 429 rate_limited — adjust FLASK_MCP_RATE_LIMIT or scope.

Contributing

We welcome contributions to flask-mcp-server! Whether it's bug fixes, new features, improved documentation, or ideas—you're invited to collaborate.

Getting Started

  1. Fork this repository and clone it locally.
  2. Set up a virtual environment and install the package in editable mode:
    python -m venv .venv && source .venv/bin/activate
    pip install -e .[dev,redis,async]
    
  3. Run the test suite:
    pytest
    
  4. Create a new branch for your contribution:
git checkout -b my-feature-branch
  1. Make your changes and commit:
git commit -m "Add: description of the change"
  1. Push your branch and open a Pull Request (PR) on GitHub.

Contribution Guidelines

  • Follow consistent code style (Black, PEP8).
  • Write or update tests for any new logic.
  • Keep commits focused and descriptive.
  • Document any new features in the README if needed.
  • Open an issue if you'd like to discuss a large idea before coding.

Feedback & Issues

Use the GitHub Issues page to report bugs, request features, or ask questions.

We appreciate every contribution, big or small. Thank you for helping improve flask-mcp-server!


License

MIT

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured