mcp-nrepl
Connects to nREPL servers to evaluate Clojure code interactively, enabling AI assistants like Claude to run Clojure code in real-time.
README
mcp-nrepl
An MCP (Model Context Protocol) server that connects to nREPL servers, enabling AI assistants like Claude to evaluate Clojure code interactively.
Overview
This server provides a bridge between MCP-compatible clients and nREPL, the standard network REPL protocol used in Clojure development. It allows AI assistants to connect to running Clojure processes and evaluate code in real-time.
Features
- Connect to any nREPL server by host and port
- Evaluate Clojure code and return results
- Seamless integration with Claude Desktop and other MCP clients
Requirements
- Python 3.13 or higher
- PDM (Python package manager)
- A running nREPL server to connect to
Installation
pdm install
ln -s $(pdm run which mcp-nrepl) ~/.local/bin/
If ~/.local/bin is not in your PATH, add the following to your shell configuration:
export PATH="$HOME/.local/bin:$PATH"
Configuration
Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"nrepl": {
"command": "mcp-nrepl"
}
}
}
Usage
Once configured, the MCP server provides an action_nrepl tool that accepts:
host: The nREPL server hostnameport: The nREPL server portcode: The Clojure code to evaluate
The tool connects to the specified nREPL server, evaluates the code, and returns the result.
Development
Run the server in development mode:
pdm run mcp-nrepl
NixOS Users
If PDM fails with a missing virtualenv error, configure it to use the built-in venv module instead:
pdm config venv.backend venv
See NixOS/nixpkgs#225730 for more details.
License
Apache-2.0
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.