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Babashka Mcp Server

@bmorphismon a year ago
14 MIT
FreeCommunity
AI Systems
A Model Context Protocol server for interacting with Babashka, a native Clojure interpreter for scripting

Overview

What is Babashka Mcp Server

babashka-mcp-server is a Model Context Protocol server designed for interacting with Babashka, a native Clojure interpreter that allows for scripting capabilities.

Use cases

Use cases include executing scripts for automation tasks, caching results for performance improvement, managing command history for repeatable tasks, and integrating with other tools that utilize the MCP protocol.

How to use

To use babashka-mcp-server, first ensure that Babashka is installed on your system. Then, install the server dependencies, build the server, and configure it using environment variables as needed. You can execute Babashka code through the server using the provided tools.

Key features

Key features include the ability to execute Babashka code, cache recent command results, access command history, and configure command timeouts.

Where to use

babashka-mcp-server can be used in various fields such as software development, automation scripts, and any environment where Clojure scripting is beneficial.

Content

Babashka MCP Server

A Model Context Protocol server for interacting with Babashka, a native Clojure interpreter for scripting.

Features

  • Execute Babashka code through MCP tools
  • Cache recent command results
  • Access command history through MCP resources
  • Configurable command timeouts

Prerequisites

Install Babashka

Babashka can be installed in several ways:

macOS

brew install borkdude/brew/babashka

Linux

bash < <(curl -s https://raw.githubusercontent.com/babashka/babashka/master/install)

Windows

# Using scoop
scoop install babashka

For other installation methods, see the official Babashka installation guide.

Verify Installation

After installation, verify Babashka works:

# Check version
bb --version

# Try a simple expression
bb -e '(+ 1 2 3)'

# Run a script from string
bb -e '(defn hello [x] (str "Hello, " x "!")) (hello "World")'

# Use -i flag to process lines of input
ls | bb -i '(take 2 *input*)'

Installation

# Install dependencies
npm install

# Build the MCP server
npm run build

Configuration

The server can be configured through environment variables:

  • BABASHKA_PATH: Path to the Babashka executable (default: “bb”)

Tools

execute

Execute Babashka code with optional timeout:

{
  name: "execute",
  arguments: {
    code: string;      // Babashka code to execute
    timeout?: number;  // Timeout in milliseconds (default: 30000)
  }
}

Example:

{
  name: "execute",
  arguments: {
    code: "(+ 1 2 3)",
    timeout: 5000
  }
}

Resources

The server maintains a cache of recent command executions accessible through:

  • babashka://commands/{index} - Access specific command results by index

Babashka Language Features

Tail Call Optimization (TCO)

Babashka supports explicit tail call optimization through the recur special form, but does not implement automatic TCO. For example:

;; This will cause stack overflow
(defn countdown [n]
  (if (zero? n)
    :done
    (countdown (dec n))))

;; This works with TCO using recur
(defn countdown [n]
  (if (zero? n)
    :done
    (recur (dec n))))

Useful Resources

Official Resources

Community Tools & Libraries

Development Tools

Development

This server is designed to eventually become self-hosting, meaning it will be rewritten in Babashka itself. The current TypeScript implementation serves as a reference and starting point.

Roadmap

  1. Self-Hosted Implementation

    • Rewrite the MCP server in Babashka
    • Leverage Babashka’s native capabilities for better performance
    • Remove Node.js dependency
    • Maintain full compatibility with MCP protocol
    • Support all current features:
      • Command execution
      • Resource management
      • Command history
      • Timeout handling
  2. Enhanced Features

    • Add support for Babashka pods
    • Implement file watching capabilities
    • Add REPL integration
    • Support for multiple Babashka instances
  3. Performance Optimizations

    • Implement caching strategies
    • Optimize resource usage
    • Reduce startup time
  4. Testing & Documentation

    • Comprehensive test suite
    • API documentation
    • Usage examples
    • Performance benchmarks

Tools

No tools

Comments

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