--- title: "agentic-awesome-skills vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sickn33-antigravity-awesome-skills-vs-tensorblock-awesome-mcp-servers" tools: ["sickn33-antigravity-awesome-skills", "tensorblock-awesome-mcp-servers"] --- # agentic-awesome-skills vs awesome-mcp-servers *GraphCanon updated Jul 11, 2026* ## Verdict Pick agentic-awesome-skills when agentic-awesome-skills is primarily Python; awesome-mcp-servers is TypeScript; pick awesome-mcp-servers when awesome-mcp-servers is primarily TypeScript; agentic-awesome-skills is Python. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) reports 43k GitHub stars, 6.8k forks, and 2 open issues, last pushed Jul 10, 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 [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills) and [awesome-mcp-servers's repository](https://github.com/TensorBlock/awesome-mcp-servers). | | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [awesome-mcp-servers](/tools/tensorblock-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | Library of agentic skills for various AI agents | A comprehensive collection of Model Context Protocol (MCP) servers | | Stars | 42,843 | 778 | | Forks | 6,805 | 572 | | Open issues | 2 | 41 | | Language | Python | TypeScript | | Adopt for | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [awesome-mcp-servers](/tools/tensorblock-awesome-mcp-servers.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 2 | 41 | | Owner type | User | Organization | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | [trust report](/tools/tensorblock-awesome-mcp-servers/trust.md) | ## Decision facts: agentic-awesome-skills - **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills. - **Requirements:** Min 2 GB RAM - **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. ## Choose when ### Choose agentic-awesome-skills if… - agentic-awesome-skills is primarily Python; awesome-mcp-servers is TypeScript. - Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.. - Requirements: Min 2 GB RAM. - Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools. - Also covers AI Agents. - - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### Choose awesome-mcp-servers if… - awesome-mcp-servers is primarily TypeScript; agentic-awesome-skills is Python. - Tags unique to awesome-mcp-servers: anthropic, awesome, genai, mcp. - More recently updated (last pushed Jul 11, 2026). ## When NOT to use agentic-awesome-skills - - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ## When NOT to use awesome-mcp-servers - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between agentic-awesome-skills and awesome-mcp-servers? agentic-awesome-skills: Library of agentic skills for various AI agents. 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 agentic-awesome-skills over awesome-mcp-servers? Choose agentic-awesome-skills over awesome-mcp-servers when agentic-awesome-skills is primarily Python; awesome-mcp-servers is TypeScript; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### When should I choose awesome-mcp-servers over agentic-awesome-skills? Choose awesome-mcp-servers over agentic-awesome-skills when awesome-mcp-servers is primarily TypeScript; agentic-awesome-skills is Python; Tags unique to awesome-mcp-servers: anthropic, awesome, genai, mcp; More recently updated (last pushed Jul 11, 2026). ### When should I avoid agentic-awesome-skills? - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ### When should I avoid awesome-mcp-servers? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agentic-awesome-skills or awesome-mcp-servers more popular on GitHub? agentic-awesome-skills has more GitHub stars (42,843 vs 778). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic-awesome-skills and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (agentic-awesome-skills: MIT, awesome-mcp-servers: MIT). ### Where can I find alternatives to agentic-awesome-skills or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) and [awesome-mcp-servers alternatives](/tools/tensorblock-awesome-mcp-servers/alternatives) ([agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/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/sickn33-antigravity-awesome-skills-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, agentic-awesome-skills or awesome-mcp-servers? agentic-awesome-skills: 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 agentic-awesome-skills and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust); [awesome-mcp-servers trust report](/tools/tensorblock-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills`](/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills) - 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/_