--- title: "agno vs metamcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-metatool-ai-metamcp" tools: ["agno-agi-agno", "metatool-ai-metamcp"] --- # agno vs metamcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when agno is primarily Python; metamcp is TypeScript; pick metamcp when metamcp is primarily TypeScript; agno is Python. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [metamcp](https://docs.metamcp.com) has 2.5k stars, 376 forks, and 90 open issues, last pushed Jun 22, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [metamcp's repository](https://github.com/metatool-ai/metamcp). | | [agno](/tools/agno-agi-agno.md) | [metamcp](/tools/metatool-ai-metamcp.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | MCP Aggregator, Orchestrator, Middleware, Gateway in one docker | | Stars | 41,090 | 2,515 | | Forks | 5,627 | 376 | | Open issues | 1,009 | 90 | | Language | Python | TypeScript | | 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) | [metamcp](/tools/metatool-ai-metamcp.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 18d | | Open issues (now) | 1.0k | 90 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/metatool-ai-metamcp/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… - agno is primarily Python; metamcp is TypeScript. - License: agno is Apache-2.0, metamcp 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 metamcp if… - metamcp is primarily TypeScript; agno is Python. - License: metamcp is MIT, agno is Apache-2.0. - Tags unique to metamcp: mcp, mcp-gateway, mcp-host, mcp-middleware. ## 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 metamcp - 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 metamcp? agno: Build, run, and manage your own agent platform.. metamcp: MCP Aggregator, Orchestrator, Middleware, Gateway in one docker. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over metamcp? Choose agno over metamcp when agno is primarily Python; metamcp is TypeScript; License: agno is Apache-2.0, metamcp 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 metamcp over agno? Choose metamcp over agno when metamcp is primarily TypeScript; agno is Python; License: metamcp is MIT, agno is Apache-2.0; Tags unique to metamcp: mcp, mcp-gateway, mcp-host, mcp-middleware. ### 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 metamcp? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or metamcp more popular on GitHub? agno has more GitHub stars (41,090 vs 2,515). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and metamcp open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, metamcp: MIT). ### Where can I find alternatives to agno or metamcp? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [metamcp alternatives](/tools/metatool-ai-metamcp/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [metamcp markdown twin](/tools/metatool-ai-metamcp/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-metatool-ai-metamcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or metamcp? agno: Very active. metamcp: 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 metamcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [metamcp trust report](/tools/metatool-ai-metamcp/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/_