arcade-mcp-server
Model Context Protocol (MCP) server framework for Arcade.dev
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, production-stable, has low install friction, and solves a clear problem—exposing Python tools to MCP-compatible AI assistants. MIT licensing is permissive. No known vulnerabilities. Install if you need to build an MCP server or integrate tools with Claude, Cursor, or similar platforms.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a pure-Python wheel.
- Active maintenance (released 4 days ago) and marked production-stable.
- Supports current Python versions (3.10–3.13).
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, provided you include the license notice.
last release 2026-08-10 (4 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 695,956 downloads/mo, #5,308 on PyPI
Alternatives
Verify before relying
pip install arcade-mcp-server
from arcade_mcp_server import MCPApp
from typing import Annotated
app = MCPApp(name="my-tools", version="1.0.0")
@app.tool
def greet(name: Annotated[str, "Name to greet"]) -> str:
return f"Hello, {name}!"
if __name__ == "__main__":
app.run()- Whether tool discovery automatically indexes all Arcade packages in the environment or requires explicit registration.
- Performance characteristics and concurrency limits under multi-client load.
- Specifics of the hot-reload mechanism and its interaction with long-running tools.
What it is and what it does
Arcade MCP Server is a framework for building Model Context Protocol (MCP) servers that expose your tools to AI assistants like Claude and development tools like Cursor. It uses a FastAPI-like decorator-based API to define tools, then automatically handles the MCP protocol negotiation and transport (stdio for local clients, HTTP/SSE for remote ones). The package includes built-in support for tool discovery, environment-based configuration, and hot reload during development.
You install it, define your tools with the @app.tool decorator, and run the server—it handles the rest. It's designed for both development (with automatic reloading) and production deployment (Docker, systemd, PM2, cloud platforms). The framework collects anonymous usage data by default (opt-out via ARCADE_USAGE_TRACKING=0) to track server starts and reliability.
Use it for
- Expose custom Python functions as tools available to Claude Desktop or other MCP-compatible AI assistants.
- Build a local tool server for Cursor or other development environments that support the MCP protocol.
- Deploy a production MCP server over HTTP/SSE to serve multiple remote AI clients simultaneously.
- Integrate existing Arcade packages as discoverable tools without manual registration.
- Develop and test MCP tools locally with hot reload, then deploy the same code to production.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, production-stable, has low install friction, and solves a clear problem—exposing Python tools to MCP-compatible AI assistants. MIT licensing is permissive. No known vulnerabilities. Install if you need to build an MCP server or integrate tools with Claude, Cursor, or similar platforms.
Install
arcade-mcp-server on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance (released 4 days ago) and marked production-stable. Supports current Python versions (3.10–3.13).
License in practice
MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, provided you include the license notice.
Quickstart
pip install arcade-mcp-server
from arcade_mcp_server import MCPApp
from typing import Annotated
app = MCPApp(name="my-tools", version="1.0.0")
@app.tool
def greet(name: Annotated[str, "Name to greet"]) -> str:
return f"Hello, {name}!"
if __name__ == "__main__":
app.run()Verify before relying
- Whether tool discovery automatically indexes all Arcade packages in the environment or requires explicit registration.
- Performance characteristics and concurrency limits under multi-client load.
- Specifics of the hot-reload mechanism and its interaction with long-running tools.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 17 packagesanyioarcade-corearcade-servearcade-tdkarcadepyfastapihttpxjoserfcopentelemetry-apiopentelemetry-sdkpydantic-settingspydanticpython-dotenvsse-starlettestarletteuvicornwatchfiles |
| Maintenance | Actively maintained 4 days since the last release |
| First released | |
| Downloads | 695,956 / month, #5,308 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: arcade_mcp_server-1.25.2-py3-none-any.whl
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See also arcade-mcp · postgres-mcp · arcade-serve · pagerduty-mcp · mcp-proxy · mcpforunityserver · astro-airflow-mcp · nextcloud-mcp-server · minimax-coding-plan-mcp · arcade-tdk