Kaimon.jl, a Model Context Protocol (MCP) server by Kahliburke, bridges AI agents with Julia's interactive runtime. Built with Julia, it requires Julia 1.12+ and operates as a Julia package. This platform enables AI agents to access and manipulate live, stateful Julia REPL sessions, offering deep environmental introspection and code execution. Kaimon.jl provides a specialized interface for AI to interact directly with the Julia ecosystem, supporting rapid development and debugging workflows. It aims to empower AI agents within the Julia programming environment.

What does Kaimon.jl connect to?

Kaimon.jl functions as an MCP server, primarily connecting AI agents to the Julia runtime environment. It specifically provides access to live, stateful Julia REPL sessions, allowing agents to interact with the language directly. Agent-to-Kaimon communication utilizes Streamable HTTP transport, typically on port 2828 by default. Communication between Kaimon.jl and Julia sessions occurs over ZMQ, using socket files or TCP. For secure network connectivity, CURVE encryption over ZMQ is supported. It does not currently implement stdio for agent communication.

Core features and tools

Kaimon.jl exposes a focused default surface of 49 tools, with over 40 MCP tools available across various categories. Key callable tools include start_session, investigate_environment, ex for code evaluation, pkg_add, and pkg_rm. For deep introspection, tools like code_lowered, code_typed, and profile_code are available. Navigation and search are supported by goto_definition, workspace_symbols, search_code, and qdrant_index_project. Advanced tools can be enabled through configuration in .kaimon/tools.json.

Who is it for?

Kaimon.jl is designed for AI agents and developers engaged in AI development within the Julia ecosystem. Its purpose is to equip AI agents with live, stateful access to Julia sessions, enabling them to execute code, debug, and navigate projects. Confirmed compatible AI clients include Claude Code, Cursor, VS Code with Copilot Chat or Continue, Gemini CLI, and Antigravity. Skip this if your AI agents do not require live, stateful access to Julia REPL sessions.

How to get started

Access is granted through a standard HTTP authentication mechanism using OAuth Bearer tokens for MCP connections, which is auto-configured for several common agent tools. Communication typically uses HTTP transport on port 2828 by default.

Use cases

• Live Code Execution and Iteration: AI agents execute Julia code in persistent REPL sessions, maintaining state and package access for rapid iteration and debugging.
• Deep Introspection and Debugging: Agents perform deep introspection of Julia code (types, methods, IR) and use Infiltrator.jl for interactive debugging.
• Semantic Code Search and Navigation: Agents index projects for natural language search using Qdrant and navigate codebases with tools like goto_definition.

Kaimon.jl provides a specialized bridge for AI agents to interact dynamically with Julia environments, supporting live code execution, deep introspection, and semantic navigation. Its design prioritizes secure and stateful access, making it a fitting tool for AI-driven development in Julia. The platform's modular toolset and authentication options cater to varied agent requirements.