Kaimon.jl
MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search
What is Kaimon.jl?
Kaimon.jl is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server giving ai agents full access to julia's runtime via a live gate — code execution, introspection, debugging, testing, and semantic search
MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server giving AI agents full access to Julia's runtime v
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx kaimon-jlConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Kaimon.jl
Kaimon.jl is a Julia-native MCP server that gives AI agents live, stateful access to a running Julia runtime through a persistent connection called a Gate. It exposes over 32 tools spanning code execution, type and method introspection, IR analysis, macro expansion, Infiltrator.jl-based debugging, unit test running, profiling, coverage analysis, and semantic code search via Qdrant. Developers using Julia for data science, scientific computing, or package development can use Kaimon.jl so their AI assistant can evaluate code, inspect types, run tests, and find relevant functions — all in the same live Julia session.
Prerequisites
- Julia 1.12 or later installed and on your PATH
- `~/.julia/bin` added to your PATH (the `kaimon` binary is deployed there)
- An MCP-compatible client such as Claude Desktop, Cursor, VS Code, or Gemini CLI
- Optional: Qdrant running locally (required only for semantic code search)
Install Kaimon from the Julia package manager
Open a Julia REPL and use the `app add` command (not `add`) to install Kaimon as an application, which deploys the `kaimon` CLI binary to `~/.julia/bin`.
julia --project -e 'using Pkg; Pkg.app_add("Kaimon")'Add `~/.julia/bin` to your PATH
If not already present, add the Julia apps directory to your shell PATH so the `kaimon` command is found.
export PATH="$HOME/.julia/bin:$PATH"Run the first-time setup wizard
Launch `kaimon` for the first time. It will run a setup wizard to configure security mode, an API key, and the listening port, then start the terminal dashboard.
kaimonGenerate MCP client configuration from the dashboard
Inside the Kaimon terminal dashboard, navigate to the Config tab and press `i` to generate the MCP configuration snippet for your AI client (Claude Code, Cursor, VS Code, or Gemini CLI). Copy and paste it into your client's config file.
Enable the Gate in your Julia startup file
Press `g` in the Config tab to append a Gate initialization snippet to `~/.julia/config/startup.jl`. This auto-connects any Julia REPL session to Kaimon so the AI can evaluate code in your active session.
Register custom domain tools (optional)
You can expose any Julia function as an MCP-callable tool by wrapping it with `GateTool`. Kaimon auto-generates the schema from the function signature.
using Kaimon.Gate: GateTool, serve
function my_tool(x::Float64)
x * 2.0
end
serve(tools=[GateTool(my_tool)])Kaimon.jl Examples
Client configuration
The Kaimon dashboard generates this config for you (press `i` in the Config tab), but here is what the manual configuration looks like for Claude Desktop.
{
"mcpServers": {
"kaimon": {
"command": "kaimon",
"args": ["--mcp"]
}
}
}Prompts to try
These prompts exercise Kaimon's live Julia runtime access, introspection, debugging, and testing tools.
- "Execute `rand(5,5)` in the Julia session and show me the result"
- "What methods are defined for `Base.sum` that accept a matrix argument?"
- "Run the tests in the MyPackage.jl test suite and report failures"
- "Profile the function `my_heavy_function()` and show me where time is spent"
- "Expand the macro `@distributed` and explain what code it generates"
- "Search the codebase semantically for functions that compute Fourier transforms"Troubleshooting Kaimon.jl
`kaimon` command not found after installation
Ensure `~/.julia/bin` is on your PATH. Add `export PATH="$HOME/.julia/bin:$PATH"` to your `~/.bashrc` or `~/.zshrc` and restart your terminal.
MCP client cannot connect to the Kaimon server
Start Kaimon first by running `kaimon` in a terminal, then connect your MCP client. The server must be running before the client tries to connect. Check the dashboard for the port it is listening on.
Semantic search returns no results
Semantic search requires Qdrant to be running locally. Start it with `docker run -p 6333:6333 qdrant/qdrant` and then re-index your codebase from the Kaimon dashboard.
Frequently Asked Questions about Kaimon.jl
What is Kaimon.jl?
Kaimon.jl is a Model Context Protocol (MCP) server that mcp server giving ai agents full access to julia's runtime via a live gate — code execution, introspection, debugging, testing, and semantic search It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Kaimon.jl?
Follow the installation instructions on the Kaimon.jl GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Kaimon.jl?
Kaimon.jl works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Kaimon.jl free to use?
Yes, Kaimon.jl is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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