--- title: "codebase-memory-mcp vs jcodemunch-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deusdata-codebase-memory-mcp-vs-jgravelle-jcodemunch-mcp" tools: ["deusdata-codebase-memory-mcp", "jgravelle-jcodemunch-mcp"] --- # codebase-memory-mcp vs jcodemunch-mcp *GraphCanon updated Aug 25, 2026* ## Verdict Pick codebase-memory-mcp if codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary; pick jcodemunch-mcp if jcodemunch-mcp is a high-efficiency MCP server that uses tree-sitter AST for precise, symbol-level GitHub code retrieval. It aims to provide coding assistance and retrieval with significant. [codebase-memory-mcp](https://deusdata.github.io/codebase-memory-mcp/) reports 41k GitHub stars, 3.3k forks, and 510 open issues, last pushed Aug 24, 2026. [jcodemunch-mcp](https://jcodemunch.com/) has 2.2k stars, 317 forks, and 7 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [codebase-memory-mcp's repository](https://github.com/DeusData/codebase-memory-mcp) and [jcodemunch-mcp's repository](https://github.com/jgravelle/jcodemunch-mcp). | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [jcodemunch-mcp](/tools/jgravelle-jcodemunch-mcp.md) | | --- | --- | --- | | Tagline | High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly | Cut AI token costs 95%+ on code exploration through precise symbol-level GitHub code retrieval | | Stars | 40,581 | 2,236 | | Forks | 3,289 | 317 | | Open issues | 510 | 7 | | Language | C | Python | | Adopt for | codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary. | jcodemunch-mcp is a high-efficiency MCP server that uses tree-sitter AST for precise, symbol-level GitHub code retrieval. It aims to provide coding assistance and retrieval with significant token cost savings. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [jcodemunch-mcp](/tools/jgravelle-jcodemunch-mcp.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 510 | 7 | | Stars delta | +5.2k (30d) | Unknown | | Open issues delta | +162 (30d) | Unknown | | Full report | [trust report](/tools/deusdata-codebase-memory-mcp/trust.md) | [trust report](/tools/jgravelle-jcodemunch-mcp/trust.md) | ## Decision facts: codebase-memory-mcp - **Adopt for:** codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary. ## Decision facts: jcodemunch-mcp - **Adopt for:** jcodemunch-mcp is a high-efficiency MCP server that uses tree-sitter AST for precise, symbol-level GitHub code retrieval. It aims to provide coding assistance and retrieval with significant token cost savings. ## Choose when ### Choose codebase-memory-mcp if… - codebase-memory-mcp is primarily C; jcodemunch-mcp is Python. - License: codebase-memory-mcp is MIT, jcodemunch-mcp is Other. - Tags unique to codebase-memory-mcp: aider, code-analysis, codex, cursor. - When needing rapid codebase indexing into a knowledge graph with low latency queries ### Choose jcodemunch-mcp if… - jcodemunch-mcp is primarily Python; codebase-memory-mcp is C. - License: jcodemunch-mcp is Other, codebase-memory-mcp is MIT. - Tags unique to jcodemunch-mcp: ai-coding, ai-tools, github, mcp-server. - jcodemunch-mcp ships Docker support for self-hosted deployment. - - Use jcodemunch-mcp when you are working on projects where minimizing AI token usage is crucial, as it can save up to 95% of tokens. ## When NOT to use codebase-memory-mcp - If you demand extensive interactive graphical UI features beyond its command-line interface capabilities - When your project prioritizes a dynamic runtime environment over static binaries ## When NOT to use jcodemunch-mcp - - Avoid jcodemunch-mcp if your primary focus does not involve token optimization and you are willing to use more general MCP services without strong token-economy incentives. - - Do not opt for this tool if working with codebases or systems that do not rely heavily on GitHub repositories, as its retrieval feature is optimized for GitHub. ## Common questions ### What is the difference between codebase-memory-mcp and jcodemunch-mcp? codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. jcodemunch-mcp: Cut AI token costs 95%+ on code exploration through precise symbol-level GitHub code retrieval. See the comparison table for live GitHub stats and shared categories. ### When should I choose codebase-memory-mcp over jcodemunch-mcp? Choose codebase-memory-mcp over jcodemunch-mcp when codebase-memory-mcp is primarily C; jcodemunch-mcp is Python; License: codebase-memory-mcp is MIT, jcodemunch-mcp is Other; Tags unique to codebase-memory-mcp: aider, code-analysis, codex, cursor; When needing rapid codebase indexing into a knowledge graph with low latency queries. ### When should I choose jcodemunch-mcp over codebase-memory-mcp? Choose jcodemunch-mcp over codebase-memory-mcp when jcodemunch-mcp is primarily Python; codebase-memory-mcp is C; License: jcodemunch-mcp is Other, codebase-memory-mcp is MIT; Tags unique to jcodemunch-mcp: ai-coding, ai-tools, github, mcp-server; jcodemunch-mcp ships Docker support for self-hosted deployment; - Use jcodemunch-mcp when you are working on projects where minimizing AI token usage is crucial, as it can save up to 95% of tokens. ### When should I avoid codebase-memory-mcp? If you demand extensive interactive graphical UI features beyond its command-line interface capabilities When your project prioritizes a dynamic runtime environment over static binaries ### When should I avoid jcodemunch-mcp? - Avoid jcodemunch-mcp if your primary focus does not involve token optimization and you are willing to use more general MCP services without strong token-economy incentives. - Do not opt for this tool if working with codebases or systems that do not rely heavily on GitHub repositories, as its retrieval feature is optimized for GitHub. ### Is codebase-memory-mcp or jcodemunch-mcp more popular on GitHub? codebase-memory-mcp has more GitHub stars (40,581 vs 2,236). Stars measure visibility, not whether either tool fits your constraints. ### Are codebase-memory-mcp and jcodemunch-mcp open source? Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, jcodemunch-mcp: Other). ### Where can I find alternatives to codebase-memory-mcp or jcodemunch-mcp? GraphCanon lists graph-backed alternatives at [codebase-memory-mcp alternatives](/tools/deusdata-codebase-memory-mcp/alternatives) and [jcodemunch-mcp alternatives](/tools/jgravelle-jcodemunch-mcp/alternatives) ([codebase-memory-mcp markdown twin](/tools/deusdata-codebase-memory-mcp/alternatives.md), [jcodemunch-mcp markdown twin](/tools/jgravelle-jcodemunch-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/deusdata-codebase-memory-mcp-vs-jgravelle-jcodemunch-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, codebase-memory-mcp or jcodemunch-mcp? codebase-memory-mcp: Very active. jcodemunch-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for codebase-memory-mcp and jcodemunch-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [codebase-memory-mcp trust report](/tools/deusdata-codebase-memory-mcp/trust); [jcodemunch-mcp trust report](/tools/jgravelle-jcodemunch-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deusdata-codebase-memory-mcp`](/api/graphcanon/graph?tool=deusdata-codebase-memory-mcp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_