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    • A
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      Enables people and AI agents to query local code repositories as graphs through stdio MCP tools for project listing, search, dependency tracing, impact analysis, bridge detection, node inspection, bounded code reading, and optional LSP definition/reference lookups.
      MIT
    • A
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      CodeGraph — Open-source code intelligence MCP server. Builds a semantic graph of your codebase (functions, classes, imports, call chains) and exposes it through 31 tools. Callers, callees, impact analysis, complexity metrics, unused code detection, AI context assembly, persistent memory, cross-project search. 15 languages via tree-sitter. Single Rust binary, local-first.
      306 npm
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    • A
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      Multi-language code-graph MCP server with 18 tools for structural code queries — find_symbol, callers, callees, blast_radius, dead_code, and cross-stack dataflow_trace from HTTP request through service layers to SQL. Tree-sitter parsing for Python, TypeScript, JavaScript, and Go; local-first, no API key required.
      18
      MIT
    • A
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      Code dependency graph and AI context engine. 10 MCP tools that give Claude, Cursor, and any MCP client full codebase context — impact analysis, dependency tracing, architecture summaries, and interactive arc diagram visualization. Supports TypeScript, JavaScript, Python, and Go.
      24
      426 npm
      69
      Business Source 1.1
    • A
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      This MCP server exposes a local structural code graph and project memory so AI coding agents can retrieve focused code entities, relationships, and prior mistakes before reading full files. It enables bounded context queries, caller/callee and impact analysis, and carryover of recorded session information through a CLI, hooks, and an authenticated local dashboard.
      28 npm
      MIT
    • A
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      Enables Claude Code and other MCP clients to query a local, explainable knowledge graph of a codebase: answering questions, explaining symbols, tracing paths between them, and computing blast-radius impact, with every edge backed by file:line evidence. Read-only and fully offline — no network calls, telemetry, or runtime dependencies.
      5
      1
      MIT