--- title: "coca vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/phodal-coca-vs-punkpeye-awesome-mcp-servers" tools: ["phodal-coca", "punkpeye-awesome-mcp-servers"] --- # coca vs awesome-mcp-servers *GraphCanon updated Jul 15, 2026* ## Verdict Pick coca when license: coca is MPL-2.0, awesome-mcp-servers is MIT; pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, coca is MPL-2.0. [coca](https://coca.migration.ink/) reports 989 GitHub stars, 117 forks, and 0 open issues, last pushed Jan 6, 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 [coca's repository](https://github.com/phodal/coca) and [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers). | | [coca](/tools/phodal-coca.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | Coca is a toolbox which is design for legacy system refactoring and analysis, includes call graph, concept analysis, api tree, design patterns suggest. Coca 是一个用于系统重构、系统迁移和系统分析的工具箱。它可以分析代码中的测试坏味道、模块化分 | A collection of MCP servers | | Stars | 989 | 90,602 | | Forks | 117 | 12,821 | | Open issues | 0 | 2,557 | | Language | Go | - | | Adopt for | - | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | MIT | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [coca](/tools/phodal-coca.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 190d | 6d | | Open issues (now) | 0 | 2.6k | | Full report | [trust report](/tools/phodal-coca/trust.md) | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | ## 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 coca if… - License: coca is MPL-2.0, awesome-mcp-servers is MIT. - Tags unique to coca: architecture, automation, git, go. - Leaner open-issue backlog (0). ### Choose awesome-mcp-servers if… - License: awesome-mcp-servers is MIT, coca is MPL-2.0. - Tags unique to awesome-mcp-servers: 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. ## When NOT to use coca - Last GitHub push was 190 days ago (slowing maintenance, Jan 6, 2026). Validate activity before betting a new project on coca. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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 coca and awesome-mcp-servers? coca: Coca is a toolbox which is design for legacy system refactoring and analysis, includes call graph, concept analysis, api tree, design patterns suggest. Coca 是一个用于系统重构、系统迁移和系统分析的工具箱。它可以分析代码中的测试坏味道、模块化分. awesome-mcp-servers: A collection of MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose coca over awesome-mcp-servers? Choose coca over awesome-mcp-servers when License: coca is MPL-2.0, awesome-mcp-servers is MIT; Tags unique to coca: architecture, automation, git, go; Leaner open-issue backlog (0). ### When should I choose awesome-mcp-servers over coca? Choose awesome-mcp-servers over coca when License: awesome-mcp-servers is MIT, coca is MPL-2.0; Tags unique to awesome-mcp-servers: 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. ### When should I avoid coca? Last GitHub push was 190 days ago (slowing maintenance, Jan 6, 2026). Validate activity before betting a new project on coca. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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 coca or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 989). Stars measure visibility, not whether either tool fits your constraints. ### Are coca and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (coca: MPL-2.0, awesome-mcp-servers: MIT). ### Where can I find alternatives to coca or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [coca alternatives](/tools/phodal-coca/alternatives) and [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) ([coca markdown twin](/tools/phodal-coca/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/phodal-coca-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, coca or awesome-mcp-servers? coca: Slowing. 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 coca and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [coca trust report](/tools/phodal-coca/trust); [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=phodal-coca`](/api/graphcanon/graph?tool=phodal-coca) - 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/_