--- title: "agent-protocol vs mcp-agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-lastmile-ai-mcp-agent" tools: ["agi-inc-agent-protocol", "lastmile-ai-mcp-agent"] --- # agent-protocol vs mcp-agent *GraphCanon updated Aug 26, 2026* ## Verdict Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; pick mcp-agent if allows creation of efficient AI agents via Model Context Protocol with workflow patterns. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 185 forks, and 50 open issues, last pushed Apr 8, 2025. [mcp-agent](https://github.com/lastmile-ai/mcp-agent) has 8.5k stars, 879 forks, and 134 open issues, last pushed Jan 25, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [mcp-agent's repository](https://github.com/lastmile-ai/mcp-agent). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | Build effective AI agents with Model Context Protocol. | | Stars | 1,458 | 8,518 | | Forks | 185 | 879 | | Open issues | 50 | 134 | | Language | Python | Python | | Adopt for | agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. | Allows creation of efficient AI agents via Model Context Protocol with workflow patterns | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 484d | 212d | | Open issues (now) | 50 | 134 | | Stars delta | Unknown | +40 (30d) | | Open issues delta | Unknown | -6 (30d) | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/lastmile-ai-mcp-agent/trust.md) | ## Decision facts: agent-protocol - **Adopt for:** agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. ## Decision facts: mcp-agent - **Adopt for:** Allows creation of efficient AI agents via Model Context Protocol with workflow patterns ## Choose when ### Choose agent-protocol if… - License: agent-protocol is MIT, mcp-agent is Apache-2.0. - Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4. - When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### Choose mcp-agent if… - License: mcp-agent is Apache-2.0, agent-protocol is MIT. - Tags unique to mcp-agent: ai-agents, llm, mcp, model-context-protocol. - Need to implement the Model Context Protocol specifically in your agent development ## When NOT to use agent-protocol - If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. - When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ## When NOT to use mcp-agent - Require a more customizable approach beyond pre-defined protocol and workflows - Project demands specific AI frameworks unsupported by Model Context Protocol directly ## Common questions ### What is the difference between agent-protocol and mcp-agent? agent-protocol: Common interface for AI agents. mcp-agent: Build effective AI agents with Model Context Protocol.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over mcp-agent? Choose agent-protocol over mcp-agent when License: agent-protocol is MIT, mcp-agent is Apache-2.0; Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### When should I choose mcp-agent over agent-protocol? Choose mcp-agent over agent-protocol when License: mcp-agent is Apache-2.0, agent-protocol is MIT; Tags unique to mcp-agent: ai-agents, llm, mcp, model-context-protocol; Need to implement the Model Context Protocol specifically in your agent development. ### When should I avoid agent-protocol? If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ### When should I avoid mcp-agent? Require a more customizable approach beyond pre-defined protocol and workflows Project demands specific AI frameworks unsupported by Model Context Protocol directly ### Is agent-protocol or mcp-agent more popular on GitHub? mcp-agent has more GitHub stars (8,518 vs 1,458). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and mcp-agent open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, mcp-agent: Apache-2.0). ### Where can I find alternatives to agent-protocol or mcp-agent? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [mcp-agent alternatives](/tools/lastmile-ai-mcp-agent/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [mcp-agent markdown twin](/tools/lastmile-ai-mcp-agent/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/agi-inc-agent-protocol-vs-lastmile-ai-mcp-agent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or mcp-agent? agent-protocol: Dormant. mcp-agent: Slowing. 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 agent-protocol and mcp-agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [mcp-agent trust report](/tools/lastmile-ai-mcp-agent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-inc-agent-protocol`](/api/graphcanon/graph?tool=agi-inc-agent-protocol) - 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/_