--- title: "awesome-mcp-servers vs arcade-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/appcypher-awesome-mcp-servers-vs-arcadeai-arcade-mcp" tools: ["appcypher-awesome-mcp-servers", "arcadeai-arcade-mcp"] --- # awesome-mcp-servers vs arcade-mcp *GraphCanon updated Aug 26, 2026* ## Verdict Pick awesome-mcp-servers if awesome-mcp-servers is a curated list of Model Context Protocol servers for AI applications, useful when you need specific resources related to MCP and less suitable if your focus is on other protocols; 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. [awesome-mcp-servers](https://github.com/appcypher/awesome-mcp-servers) reports 5.8k GitHub stars, 2.2k forks, and 526 open issues, last pushed May 6, 2026. [arcade-mcp](https://docs.arcade.dev) has 981 stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/appcypher/awesome-mcp-servers) and [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp). | | [awesome-mcp-servers](/tools/appcypher-awesome-mcp-servers.md) | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | | --- | --- | --- | | Tagline | A curated list of Model Context Protocol servers | MCP Server Framework and Tool Development Library for Custom Agent Capabilities | | Stars | 5,757 | 981 | | Forks | 2,238 | 101 | | Open issues | 526 | 16 | | Language | - | Python | | Adopt for | awesome-mcp-servers is a curated list of Model Context Protocol servers for AI applications, useful when you need specific resources related to MCP and less suitable if your focus is on other protocols. | 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. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Model Training | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mcp-servers](/tools/appcypher-awesome-mcp-servers.md) | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 111d | 0d | | Archived on GitHub | Yes | No | | Open issues (now) | 526 | 16 | | Stars delta | +41 (30d) | Unknown | | Open issues delta | -8 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/appcypher-awesome-mcp-servers/trust.md) | [trust report](/tools/arcadeai-arcade-mcp/trust.md) | ## Decision facts: awesome-mcp-servers - **Pricing:** unknown - The pricing model is unknown since the information provided does not specify any costs associated with using awesome-mcp-servers. - **Requirements:** Requires familiarity with Model Context Protocol servers for effective use.; May require additional software or setup configurations to fully utilize the listed server resources. - **Adopt for:** awesome-mcp-servers is a curated list of Model Context Protocol servers for AI applications, useful when you need specific resources related to MCP and less suitable if your focus is on other protocols. ## 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. ## Choose when ### Choose awesome-mcp-servers if… - Pricing: The pricing model is unknown since the information provided does not specify any costs associated with using awesome-mcp-servers.. - Requirements: Requires familiarity with Model Context Protocol servers for effective use.; May require additional software or setup configurations to fully utilize the listed server resources.. - Tags unique to awesome-mcp-servers: anthropic-claude, mcp, tool-use, tools. - Also covers Model Training. - Use awesome-mcp-servers if you specifically require access to detailed listings of Model Context Protocol server resources that can be integrated into AI applications. ### Choose arcade-mcp if… - Requirements: Min 4 GB RAM. - Tags unique to arcade-mcp: arcade-ai, mcp-framework, python. - Also covers AI Agents. - 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 NOT to use awesome-mcp-servers - Avoid using it if your requirements do not align with the Model Context Protocol, opting instead for platforms that support a broader range of protocols. - If you need to focus on different aspects of AI development not covered by MCP resources or prefer real-time data over curated lists, this might not be suitable. ## 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. ## Common questions ### What is the difference between awesome-mcp-servers and arcade-mcp? awesome-mcp-servers: A curated list of Model Context Protocol servers. arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-mcp-servers over arcade-mcp? Choose awesome-mcp-servers over arcade-mcp when Pricing: The pricing model is unknown since the information provided does not specify any costs associated with using awesome-mcp-servers.; Requirements: Requires familiarity with Model Context Protocol servers for effective use.; May require additional software or setup configurations to fully utilize the listed server resources.; Tags unique to awesome-mcp-servers: anthropic-claude, mcp, tool-use, tools; Also covers Model Training; Use awesome-mcp-servers if you specifically require access to detailed listings of Model Context Protocol server resources that can be integrated into AI applications. ### When should I choose arcade-mcp over awesome-mcp-servers? Choose arcade-mcp over awesome-mcp-servers when Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: arcade-ai, mcp-framework, python; Also covers AI Agents; 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 avoid awesome-mcp-servers? Avoid using it if your requirements do not align with the Model Context Protocol, opting instead for platforms that support a broader range of protocols. If you need to focus on different aspects of AI development not covered by MCP resources or prefer real-time data over curated lists, this might not be suitable. ### 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. ### Is awesome-mcp-servers or arcade-mcp more popular on GitHub? awesome-mcp-servers has more GitHub stars (5,757 vs 981). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-mcp-servers and arcade-mcp open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-mcp-servers or arcade-mcp? GraphCanon lists graph-backed alternatives at [awesome-mcp-servers alternatives](/tools/appcypher-awesome-mcp-servers/alternatives) and [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) ([awesome-mcp-servers markdown twin](/tools/appcypher-awesome-mcp-servers/alternatives.md), [arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/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/appcypher-awesome-mcp-servers-vs-arcadeai-arcade-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-mcp-servers or arcade-mcp? awesome-mcp-servers: Archived. arcade-mcp: 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 awesome-mcp-servers and arcade-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mcp-servers trust report](/tools/appcypher-awesome-mcp-servers/trust); [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=appcypher-awesome-mcp-servers`](/api/graphcanon/graph?tool=appcypher-awesome-mcp-servers) - 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/_