--- title: "agno vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-punkpeye-awesome-mcp-servers" tools: ["agno-agi-agno", "punkpeye-awesome-mcp-servers"] --- # agno vs awesome-mcp-servers *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when license: agno is Apache-2.0, awesome-mcp-servers is MIT; pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, agno is Apache-2.0. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 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 [agno's repository](https://github.com/agno-agi/agno) and [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers). | | [agno](/tools/agno-agi-agno.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | A collection of MCP servers. | | Stars | 41,090 | 90,602 | | Forks | 5,627 | 12,821 | | Open issues | 1,009 | 2,557 | | Language | Python | - | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 1.0k | 2.6k | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Choose when ### Choose agno if… - License: agno is Apache-2.0, awesome-mcp-servers is MIT. - Tags unique to agno: agents, ai-agents, developer-tools, python. - Also covers AI Agents. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose awesome-mcp-servers if… - License: awesome-mcp-servers is MIT, agno is Apache-2.0. - Tags unique to awesome-mcp-servers: ai, mcp. - More GitHub stars (91k vs 41k) - visibility, not fit. ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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 agno and awesome-mcp-servers? agno: Build, run, and manage your own agent platform.. awesome-mcp-servers: A collection of MCP servers.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over awesome-mcp-servers? Choose agno over awesome-mcp-servers when License: agno is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose awesome-mcp-servers over agno? Choose awesome-mcp-servers over agno when License: awesome-mcp-servers is MIT, agno is Apache-2.0; Tags unique to awesome-mcp-servers: ai, mcp; More GitHub stars (91k vs 41k) - visibility, not fit. ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid awesome-mcp-servers? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 41,090). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, awesome-mcp-servers: MIT). ### Where can I find alternatives to agno or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) ([agno markdown twin](/tools/agno-agi-agno/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/agno-agi-agno-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, agno or awesome-mcp-servers? agno: 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 agno and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_