Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
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Codebase Memory MCP is an MCP server that codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 94/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"codebase-memory-mcp": {
"args": [],
"command": "/path/to/codebase-memory-mcp"
}
}
}Are you the author?
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Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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No known CVEs.
Checked codebase-memory-mcp against OSV.dev.
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Understand your repository, from source code to the systems around it. codebase-memory-mcp is an MCP server that connects code, documentation, configuration, and infrastructure in a persistent local knowledge graph. Use it to find an unfamiliar feature, follow a call across services, trace a deployment back to its source, or assess which parts of a project a change could affect.
Give your coding agent structural context through Model Context Protocol (MCP), or query the graph directly from the CLI. The MCP server is the core of the project. Its optional visual companion, CBM Lens, is in open beta (v0.0.1), with a source reader, architecture maps, the Galaxy graph, coverage diagnostics, architecture decisions, and local code chat.
The native C backend exposes 17 MCP tools, parses languages and file formats with vendored grammars, and adds Hybrid LSP type resolution for supported languages. The installer supports 45 automatic or conditional client integrations, including client configuration, skills, agent profiles, and applicable hooks. Indexing and graph queries need no hosted service or API key. Focused graph queries can reduce repeated file reads and token use; see the measured results.
Quick start · Capabilities · Documentation · Infrastructure · Smart CI · Explore CBM Lens · Agent setup · MCP tools
Local processing: Source analysis and graph storage run on your machine. CBM Lens can optionally download a model for browser AI after you enable it; inference stays on the device. The installer writes agent configuration for the clients you select. See Security for release verification and [SECURITY