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calls jcodemunch-mcp “if you need symbol-level retrieval from GitHub repos without local indexing”
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
calls jcodemunch-mcp “Use when your code is on GitHub and you want on-demand symbol retrieval without local indexing.”
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
calls jcodemunch-mcp “MCP for symbol-level GitHub retrieval; choose it when you need to explore remote code rather than a local clone.”
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
calls jcodemunch-mcp “choose it for AST-based symbol-level GitHub code retrieval with extreme token savings.”
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
calls jcodemunch-mcp “Narrower: only symbol-level GitHub retrieval over tree-sitter, so no local-repo or LSP coverage.”
Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI