mcp-forge

mcp-forge

A FastAPI-style framework for building MCP servers in Python, enabling declarative tool definitions with automatic schema validation and multiple transport options.

Category
Visit Server

README

<div align="center">

<br />

<img src="https://raw.githubusercontent.com/nsfwbunny/mcp-forge/main/.github/assets/logo.svg" alt="mcp-forge" width="72" />

mcp-forge

The FastAPI-style framework for building MCP servers in Python.

Declarative tools. Auto-schema. Type-safe. Production-ready.

<br />

PyPI version Python CI Coverage License: MIT mypy

<br />

Quick Start  •  Documentation  •  Examples  •  Roadmap  •  Contributing

<br />

<!-- demo gif: replace the src below with your actual recording --> <img src="https://raw.githubusercontent.com/nsfwbunny/mcp-forge/main/.github/assets/demo.gif" alt="mcp-forge demo" width="720" />

<br />

</div>


Why mcp-forge?

Every MCP server you write starts the same way: hand-craft JSON Schema, wire a transport loop, handle notifications/initialized, redirect stderr, copy-paste validation logic. It's the same boilerplate every time.

mcp-forge eliminates all of it. You write a typed Python function. The framework derives the schema from your type hints, validates inputs at runtime, and exposes the tool over any transport — STDIO, HTTP, or SSE — without changing a single line of your logic.

Think of it as the FastAPI moment for MCP servers.

from mcp_forge import Forge

app = Forge(name="my-server", version="1.0.0")

@app.tool(description="Search the knowledge base")
async def search(query: str, limit: int = 10) -> list[dict]:
    """Returns ranked results for the given query."""
    ...  # your logic here

if __name__ == "__main__":
    app.run()  # STDIO — Claude Desktop / Cursor / VS Code ready

No JSON Schema by hand. No transport boilerplate. No config files.


⚡ Quick Start

pip install mcp-forge
mcp-forge new my-server && cd my-server
mcp-forge run --reload

Connect to Claude Desktop in 30 seconds:

{
  "mcpServers": {
    "my-server": {
      "command": "python",
      "args": ["-m", "my_server"]
    }
  }
}

Switch to HTTP transport with one flag:

mcp-forge run --transport http --port 8080

✨ Features

<table> <tr> <td width="50%">

🏗️ Declarative Tools Define tools as typed Python functions with @app.tool(). No schema files, no registration calls.

🧠 Auto JSON Schema Pydantic v2 under the hood. Full draft-07 JSON Schema generated from your type hints — automatically.

✅ Runtime Validation Inputs validated before execution. Errors surface as proper MCP-spec error responses.

🚀 Multi-Transport STDIO · HTTP · SSE. Switch transports at runtime — your tool code never changes.

</td> <td width="50%">

⏳ Async-First async def and def tools work side by side. No event loop management needed.

🔌 Contrib Routers memory · filesystem · web — production-ready tools, one-line include.

🧪 Testing Client ForgeTestClient calls tools directly — no running server, no mocking, no sockets.

📦 PEP 561 Typed Ships py.typed. Full mypy --strict and Pyright support out of the box.

</td> </tr> </table>


📚 Examples

Minimal server — 3 lines of logic

from mcp_forge import Forge

app = Forge(name="calculator")

@app.tool()
def add(a: float, b: float) -> float:
    """Add two numbers."""
    return a + b

@app.tool()
def multiply(a: float, b: float) -> float:
    """Multiply two numbers."""
    return a * b

app.run()

With contrib tools

from mcp_forge import Forge
from mcp_forge.contrib import memory, filesystem, web

app = Forge(name="agent-tools")
app.include(memory)      # remember(), recall(), forget(), list_memory()
app.include(filesystem)  # read_file(), write_file(), list_dir(), delete_file()
app.include(web)         # fetch_url()

app.run()

HTTP transport with custom config

from mcp_forge import Forge, ForgeConfig

app = Forge(
    name="api-server",
    config=ForgeConfig(
        transport="http",
        port=8080,
        cors_origins=["*"],
        max_tool_timeout=30,
    ),
)

@app.tool()
async def summarize(text: str, max_words: int = 100) -> str:
    """Summarize text to a given word count."""
    ...

app.run()

Unit testing — no server needed

from mcp_forge.testing import ForgeTestClient

client = ForgeTestClient(app)

def test_add():
    result = client.call("add", {"a": 2, "b": 3})
    assert result == 5

async def test_summarize_async():
    result = await client.acall("summarize", {"text": "Hello world"})
    assert isinstance(result, str)

📐 Architecture

mcp-forge
├── core/
│   ├── forge.py        ← Forge class — declarative app entrypoint
│   ├── schema.py       ← Auto JSON Schema from Pydantic v2 type hints
│   ├── validator.py    ← Input/output validation engine
│   ├── config.py       ← ForgeConfig dataclass
│   └── exceptions.py   ← MCP-aligned exception hierarchy
├── transports/
│   ├── stdio.py        ← STDIO — MCP spec 2024-11-05 compliant
│   ├── http.py         ← HTTP — FastAPI-based REST transport
│   └── sse.py          ← SSE — Server-Sent Events streaming
├── cli/
│   └── main.py         ← Typer CLI — new, run, list, build
└── contrib/
    ├── memory.py       ← Scoped in-process memory store
    ├── filesystem.py   ← Safe filesystem tools with path sandboxing
    └── web.py          ← HTTP fetch with timeout and error handling

Design principles:

  • Transport is a runtime concern — your tool code never changes between STDIO, HTTP, and SSE
  • Schema is derived, never written — if your types are correct, your schema is correct
  • Contrib is opt-inapp.include(memory) adds tools; you stay in control
  • Strict by default — mypy strict, ruff format + lint, 100% typed public API

🌍 Ecosystem Compatibility

Client Transport Status
Claude Desktop STDIO ✅ Tested
Cursor STDIO ✅ Tested
VS Code (GitHub Copilot) STDIO · HTTP ✅ Tested
Continue.dev HTTP · SSE ✅ Tested
Custom LLM agents HTTP · SSE ✅ Tested

📦 Installation

# Core only (STDIO transport)
pip install mcp-forge

# With HTTP + SSE transports
pip install "mcp-forge[http]"

# Everything
pip install "mcp-forge[all]"

Requires: Python 3.11+  ·  pydantic>=2.0


🤝 Contributing

Contributions are welcome. See CONTRIBUTING.md for the full guide.

git clone https://github.com/nsfwbunny/mcp-forge
cd mcp-forge
pip install -e ".[dev]"
pytest

<div align="center">

<br />

Built by Benni Alencar  ·  Part of the Benni OS open-source ecosystem

<br />

<sub>If mcp-forge saves you time, consider giving it a ⭐</sub>

</div>

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