--- title: "awesome-mcp-servers vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/punkpeye-awesome-mcp-servers-vs-tensorblock-awesome-mcp-servers" tools: ["punkpeye-awesome-mcp-servers", "tensorblock-awesome-mcp-servers"] --- # awesome-mcp-servers vs awesome-mcp-servers *GraphCanon updated Jul 17, 2026* ## Verdict Pick awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration; pick awesome-mcp-servers if decision Facts for awesome-mcp-servers. [awesome-mcp-servers](https://glama.ai/mcp/servers) reports 91k GitHub stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. [awesome-mcp-servers](https://tensorblock.co) has 778 stars, 572 forks, and 41 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers) and [awesome-mcp-servers's repository](https://github.com/TensorBlock/awesome-mcp-servers). | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [awesome-mcp-servers](/tools/tensorblock-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | A collection of MCP servers | A comprehensive collection of Model Context Protocol (MCP) servers | | Stars | 90,602 | 778 | | Forks | 12,821 | 572 | | Open issues | 2,557 | 41 | | Language | - | TypeScript | | Adopt for | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | Decision Facts for awesome-mcp-servers | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [awesome-mcp-servers](/tools/tensorblock-awesome-mcp-servers.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 2.6k | 41 | | Owner type | User | Organization | | Full report | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | [trust report](/tools/tensorblock-awesome-mcp-servers/trust.md) | **Typed relationship:** awesome-mcp-servers _(alternative)_ awesome-mcp-servers Both are collections of MCP servers, serving as alternative resources. ## Decision facts: awesome-mcp-servers - **Adopt for:** awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. ## Decision facts: awesome-mcp-servers - **Adopt for:** Decision Facts for awesome-mcp-servers ## Choose when ### Choose awesome-mcp-servers if… - Both are collections of MCP servers, serving as alternative resources. - Tags unique to awesome-mcp-servers: ai, server-resources. - Also covers Developer Tools. - 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. ### Choose awesome-mcp-servers if… - Both are collections of MCP servers, serving as alternative resources. - Tags unique to awesome-mcp-servers: anthropic, genai, mcp-server, mcp-server-discovery. - Also covers Model Training. - awesome-mcp-servers ships an MCP server manifest. - Need TypeScript-based MCP server implementations and resources. ## 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. ## When NOT to use awesome-mcp-servers - Require backend languages other than TypeScript for MCP servers. - Looking for a general-purpose AI development toolkit, not MCP-specific solutions. ## Common questions ### What is the difference between awesome-mcp-servers and awesome-mcp-servers? awesome-mcp-servers: A collection of MCP servers. awesome-mcp-servers: A comprehensive collection of Model Context Protocol (MCP) servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-mcp-servers over awesome-mcp-servers? Choose awesome-mcp-servers over awesome-mcp-servers when Both are collections of MCP servers, serving as alternative resources; Tags unique to awesome-mcp-servers: ai, server-resources; Also covers Developer Tools; 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 choose awesome-mcp-servers over awesome-mcp-servers? Choose awesome-mcp-servers over awesome-mcp-servers when Both are collections of MCP servers, serving as alternative resources; Tags unique to awesome-mcp-servers: anthropic, genai, mcp-server, mcp-server-discovery; Also covers Model Training; awesome-mcp-servers ships an MCP server manifest; Need TypeScript-based MCP server implementations and resources. ### 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. ### When should I avoid awesome-mcp-servers? Require backend languages other than TypeScript for MCP servers. Looking for a general-purpose AI development toolkit, not MCP-specific solutions. ### Is awesome-mcp-servers or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 778). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-mcp-servers and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, awesome-mcp-servers: MIT). ### Where can I find alternatives to awesome-mcp-servers or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) and [awesome-mcp-servers alternatives](/tools/tensorblock-awesome-mcp-servers/alternatives) ([awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md), [awesome-mcp-servers markdown twin](/tools/tensorblock-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/punkpeye-awesome-mcp-servers-vs-tensorblock-awesome-mcp-servers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-mcp-servers or awesome-mcp-servers? awesome-mcp-servers: 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 awesome-mcp-servers and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust); [awesome-mcp-servers trust report](/tools/tensorblock-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers`](/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers) - 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/_