MCP to Pi Tools

v1.0.0Developer Toolsstable

MCP server for mcp to pi tools

mcp-to-pi-toolsmcpai-integration
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What is MCP to Pi Tools?

MCP to Pi Tools is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for mcp to pi tools

MCP server for mcp to pi tools

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for mcp to pi tools

Use Cases

Access Pi-related tools and services
nicobailon

Maintainer

LicenseMIT
Languagejavascript
Versionv1.0.0
UpdatedApr 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-to-pi-tools

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP to Pi Tools

mcp-to-pi-tools (mcp2ext) is a bridge utility that converts any MCP server's tools into native extensions for the Pi AI agent platform, automatically grouping related operations and generating TypeBox validation schemas. It supports npm packages, Python uvx packages, and HTTP-based MCP endpoints, making it straightforward to extend Pi with capabilities from the wider MCP ecosystem. Developers building Pi-based agents can use it to reuse existing MCP servers without writing custom integration code.

Prerequisites

  • Node.js 16 or higher with npx available
  • Pi agent platform installed and configured (config at ~/.pi/agent/)
  • The MCP server packages you want to convert (npm or Python-based)
  • MCPORTER_CALL_TIMEOUT env var optionally set for slow connections
1

Run mcp2ext to convert an npm-based MCP server

Use npx to invoke mcp-to-pi-tools with the name of an MCP npm package. It discovers the tools and writes an extension to ~/.pi/agent/extensions/.

npx mcp-to-pi-tools mcp2ext chrome-devtools-mcp
2

Convert a Python uvx-based MCP server

Add the --uvx flag to handle Python MCP servers distributed via uv/uvx.

npx mcp-to-pi-tools mcp2ext mcp-server-time --uvx
3

Convert an HTTP MCP endpoint

Pass --http-url and --name to register a remotely hosted MCP server as a Pi extension.

npx mcp-to-pi-tools mcp2ext --http-url http://127.0.0.1:3845/mcp --name figma --description "Figma design tools"
4

List and manage registered extensions

View all generated extensions or remove one you no longer need.

npx mcp-to-pi-tools mcp2ext list
npx mcp-to-pi-tools mcp2ext remove chrome-devtools-mcp
5

Adjust timeout for slow MCP servers

If tool discovery times out, increase MCPORTER_CALL_TIMEOUT before running mcp2ext.

MCPORTER_CALL_TIMEOUT=120000 npx mcp-to-pi-tools mcp2ext my-slow-mcp-server

MCP to Pi Tools Examples

Client configuration

Default settings for mcp2ext can be placed in the Pi agent settings file. The generated extensions are auto-discovered from the extensions directory.

{
  "agent": "pi",
  "extensionsDir": "~/.pi/agent/extensions"
}

Prompts to try

After converting MCP servers to Pi extensions, use Pi to invoke the resulting tools.

- "Convert the chrome-devtools-mcp server to a Pi extension"
- "List all Pi extensions currently installed"
- "Remove the mcp-server-time extension"
- "Register the Figma HTTP MCP endpoint as a Pi extension called figma"

Troubleshooting MCP to Pi Tools

Discovery times out with no tools found

Set MCPORTER_CALL_TIMEOUT=120000 before running mcp2ext to give slower MCP servers more time to respond during tool discovery.

Extension not visible in Pi after conversion

Confirm the generated file appears in ~/.pi/agent/extensions/. Restart the Pi agent after adding new extensions if it does not hot-reload.

Python MCP server fails to convert without --uvx

Python-based MCP packages distributed via uv/uvx require the --uvx flag. Add it to the mcp2ext command.

Frequently Asked Questions about MCP to Pi Tools

What is MCP to Pi Tools?

MCP to Pi Tools is a Model Context Protocol (MCP) server that mcp server for mcp to pi tools It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP to Pi Tools?

Follow the installation instructions on the MCP to Pi Tools GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP to Pi Tools?

MCP to Pi Tools works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP to Pi Tools free to use?

Yes, MCP to Pi Tools is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-to-pi-tools": { "command": "npx", "args": ["-y", "mcp-to-pi-tools"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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