--- title: "codebase-memory-mcp vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deusdata-codebase-memory-mcp-vs-punkpeye-awesome-mcp-servers" tools: ["deusdata-codebase-memory-mcp", "punkpeye-awesome-mcp-servers"] --- # codebase-memory-mcp vs awesome-mcp-servers *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 awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. [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. [awesome-mcp-servers](https://glama.ai/mcp/servers) has 91k stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [codebase-memory-mcp's repository](https://github.com/DeusData/codebase-memory-mcp) and [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers). | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly | A collection of MCP servers | | Stars | 40,581 | 90,602 | | Forks | 3,289 | 12,821 | | Open issues | 510 | 2,557 | | Language | C | - | | 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. | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Days since push | 1d | 6d | | Open issues (now) | 510 | 2.6k | | 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/punkpeye-awesome-mcp-servers/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: awesome-mcp-servers - **Adopt for:** awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. ## Choose when ### Choose codebase-memory-mcp if… - Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis. - Also covers Data & Retrieval. - When needing rapid codebase indexing into a knowledge graph with low latency queries ### Choose awesome-mcp-servers if… - Tags unique to awesome-mcp-servers: ai, mcp, server-resources. - If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology. - More GitHub stars (91k vs 41k) - visibility, not fit. ## 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 awesome-mcp-servers - Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ## Common questions ### What is the difference between codebase-memory-mcp and awesome-mcp-servers? codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. awesome-mcp-servers: A collection of MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose codebase-memory-mcp over awesome-mcp-servers? Choose codebase-memory-mcp over awesome-mcp-servers when Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis; Also covers Data & Retrieval; When needing rapid codebase indexing into a knowledge graph with low latency queries. ### When should I choose awesome-mcp-servers over codebase-memory-mcp? Choose awesome-mcp-servers over codebase-memory-mcp when Tags unique to awesome-mcp-servers: ai, mcp, server-resources; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology; More GitHub stars (91k vs 41k) - visibility, not fit. ### 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 awesome-mcp-servers? Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ### Is codebase-memory-mcp or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 40,581). Stars measure visibility, not whether either tool fits your constraints. ### Are codebase-memory-mcp and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, awesome-mcp-servers: MIT). ### Where can I find alternatives to codebase-memory-mcp or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [codebase-memory-mcp alternatives](/tools/deusdata-codebase-memory-mcp/alternatives) and [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) ([codebase-memory-mcp markdown twin](/tools/deusdata-codebase-memory-mcp/alternatives.md), [awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/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-punkpeye-awesome-mcp-servers.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 awesome-mcp-servers? codebase-memory-mcp: Very active. awesome-mcp-servers: 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 awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [codebase-memory-mcp trust report](/tools/deusdata-codebase-memory-mcp/trust); [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/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/_