Julia is a high-level, high-performance programming language for technical computing, with syntax that is familiar to users of other technical computing environments.
Why this server?
Enables querying metadata, dependencies, and version information for the Julia package ecosystem.
Why this server?
Provides AST-aware code intelligence for Julia codebases, including semantic search, dependency graphs, and refactoring analysis.
Why this server?
Enables analysis of Julia code with tree-sitter parsing, symbol extraction, and dependency analysis
Why this server?
Enables running Julia code snippets with result display
Why this server?
Provides package intelligence for the Julia ecosystem, including vulnerability checks, health scores, alternatives, and lockfile ingestion.
Why this server?
Allows agents to start or reuse a shared Julia REPL and execute Julia code in a live tmux session that terminal users can also attach to.
Why this server?
Provides an MCP-compatible interface for the JCGE (Julia Computable General Equilibrium) framework, enabling agents to discover, load, solve, validate, and inspect CGE models written in Julia.
Why this server?
Serves Julia documentation and source code, including access to packages, modules, types, functions, and methods
Why this server?
Notebooks can be created and executed against any installed Jupyter kernel, including Julia via IJulia (e.g. julia-1.x), so cells can be run in a Julia kernel through the notebook's kernelspec — with outputs captured back into the file.
