--- title: "arcade-mcp vs mcp-agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadeai-arcade-mcp-vs-lastmile-ai-mcp-agent" tools: ["arcadeai-arcade-mcp", "lastmile-ai-mcp-agent"] --- # arcade-mcp vs mcp-agent *GraphCanon updated Aug 26, 2026* ## Verdict Pick arcade-mcp if arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol; pick mcp-agent if allows creation of efficient AI agents via Model Context Protocol with workflow patterns. [arcade-mcp](https://docs.arcade.dev) reports 981 GitHub stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. [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 [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp) and [mcp-agent's repository](https://github.com/lastmile-ai/mcp-agent). | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | | --- | --- | --- | | Tagline | MCP Server Framework and Tool Development Library for Custom Agent Capabilities | Build effective AI agents with Model Context Protocol. | | Stars | 981 | 8,518 | | Forks | 101 | 879 | | Open issues | 16 | 134 | | Language | Python | Python | | Adopt for | Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. | 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._ | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 212d | | Open issues (now) | 16 | 134 | | Stars delta | Unknown | +40 (30d) | | Open issues delta | Unknown | -6 (30d) | | Full report | [trust report](/tools/arcadeai-arcade-mcp/trust.md) | [trust report](/tools/lastmile-ai-mcp-agent/trust.md) | ## Shared compatibility - **Python**: [arcade-mcp](/tools/arcadeai-arcade-mcp.md) - Python runtime; [mcp-agent](/tools/lastmile-ai-mcp-agent.md) - Python runtime ## Decision facts: arcade-mcp - **Requirements:** Min 4 GB RAM - **Adopt for:** Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. ## Decision facts: mcp-agent - **Adopt for:** Allows creation of efficient AI agents via Model Context Protocol with workflow patterns ## Choose when ### Choose arcade-mcp if… - License: arcade-mcp is MIT, mcp-agent is Apache-2.0. - Requirements: Min 4 GB RAM. - Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework. - When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol. ### Choose mcp-agent if… - License: mcp-agent is Apache-2.0, arcade-mcp is MIT. - Tags unique to mcp-agent: agents, ai-agents, llm, mcp. - Need to implement the Model Context Protocol specifically in your agent development ## When NOT to use arcade-mcp - If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. - When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks. ## 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 arcade-mcp and mcp-agent? arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. 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 arcade-mcp over mcp-agent? Choose arcade-mcp over mcp-agent when License: arcade-mcp is MIT, mcp-agent is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework; When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol. ### When should I choose mcp-agent over arcade-mcp? Choose mcp-agent over arcade-mcp when License: mcp-agent is Apache-2.0, arcade-mcp is MIT; Tags unique to mcp-agent: agents, ai-agents, llm, mcp; Need to implement the Model Context Protocol specifically in your agent development. ### When should I avoid arcade-mcp? If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks. ### 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 arcade-mcp or mcp-agent more popular on GitHub? mcp-agent has more GitHub stars (8,518 vs 981). Stars measure visibility, not whether either tool fits your constraints. ### Are arcade-mcp and mcp-agent open source? Yes - both are open-source projects on GitHub (arcade-mcp: MIT, mcp-agent: Apache-2.0). ### Where can I find alternatives to arcade-mcp or mcp-agent? GraphCanon lists graph-backed alternatives at [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) and [mcp-agent alternatives](/tools/lastmile-ai-mcp-agent/alternatives) ([arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/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/arcadeai-arcade-mcp-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, arcade-mcp or mcp-agent? arcade-mcp: Very active. 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 arcade-mcp and mcp-agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust); [mcp-agent trust report](/tools/lastmile-ai-mcp-agent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arcadeai-arcade-mcp`](/api/graphcanon/graph?tool=arcadeai-arcade-mcp) - 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/_