--- title: "Android-MCP vs fastmcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cursortouch-android-mcp-vs-prefecthq-fastmcp" tools: ["cursortouch-android-mcp", "prefecthq-fastmcp"] --- # Android-MCP vs fastmcp *GraphCanon updated Sep 20, 2026* ## Verdict Pick Android-MCP if android-MCP is a Python-based server for interacting with Android devices designed to ease development tasks that require automation and interaction through a dedicated MCP server; pick fastmcp if fastmcp is a Python library for building MCP servers and clients, designed to facilitate the Model Context Protocol (MCP) in AI development. [Android-MCP](https://github.com/CursorTouch/Android-MCP) reports 857 GitHub stars, 112 forks, and 10 open issues, last pushed Jul 1, 2026. [fastmcp](https://gofastmcp.com) has 28k stars, 2.4k forks, and 345 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [Android-MCP's repository](https://github.com/CursorTouch/Android-MCP) and [fastmcp's repository](https://github.com/PrefectHQ/fastmcp). | | [Android-MCP](/tools/cursortouch-android-mcp.md) | [fastmcp](/tools/prefecthq-fastmcp.md) | | --- | --- | --- | | Tagline | MCP Server for interacting with Android Devices | The fast, Pythonic way to build MCP servers and clients | | Stars | 857 | 27,718 | | Forks | 112 | 2,352 | | Open issues | 10 | 345 | | Language | Python | Python | | Adopt for | Android-MCP is a Python-based server for interacting with Android devices designed to ease development tasks that require automation and interaction through a dedicated MCP server. | fastmcp is a Python library for building MCP servers and clients, designed to facilitate the Model Context Protocol (MCP) in AI development. | | Persona | - | - | | Runtime | - | - | | License | MIT | fastmcp is licensed under the Apache-2.0 license, allowing for broad use in both open-source and commercial projects. | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Android-MCP](/tools/cursortouch-android-mcp.md) | [fastmcp](/tools/prefecthq-fastmcp.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 80d | 0d | | Open issues (now) | 10 | 345 | | Stars delta | +52 (30d) | +872 (30d) | | Open issues delta | +2 (30d) | +80 (30d) | | Full report | [trust report](/tools/cursortouch-android-mcp/trust.md) | [trust report](/tools/prefecthq-fastmcp/trust.md) | ## Decision facts: Android-MCP - **Adopt for:** Android-MCP is a Python-based server for interacting with Android devices designed to ease development tasks that require automation and interaction through a dedicated MCP server. ## Decision facts: fastmcp - **Requirements:** fastmcp can be added to your project using the uv package manager, but full installation instructions are available on the official documentation. - **Adopt for:** fastmcp is a Python library for building MCP servers and clients, designed to facilitate the Model Context Protocol (MCP) in AI development. - **License detail:** fastmcp is licensed under the Apache-2.0 license, allowing for broad use in both open-source and commercial projects. ## Choose when ### Choose Android-MCP if… - License: Android-MCP is MIT, fastmcp is Apache-2.0. - Tags unique to Android-MCP: ai, android, automation, mcp-server. - When developing applications requiring close integration with the Android device's hardware and needing an automated testing framework ### Choose fastmcp if… - License: fastmcp is Apache-2.0, Android-MCP is MIT. - Requirements: fastmcp can be added to your project using the uv package manager, but full installation instructions are available on the official documentation.. - Tags unique to fastmcp: agents, fastmcp, llms, mcp. - Also covers AI Agents. - Use fastmcp when you need to build MCP servers and clients in Python, as it provides a streamlined and Pythonic approach to implementing the Model Context Protocol. ## When NOT to use Android-MCP - If your project requires extensive use of native Java or Kotlin for deep system interactions that cannot leverage Python effectively - In scenarios demanding very lightweight server solutions, as Android-MCP might introduce additional overhead due to its full-feature set ## When NOT to use fastmcp - Avoid fastmcp if your project does not require the Model Context Protocol (MCP), as it is specialized for this protocol and may introduce unnecessary complexity. - Do not use fastmcp if you are working in a language other than Python, as it is a Python-specific library and will not be compatible with other languages. ## Common questions ### What is the difference between Android-MCP and fastmcp? Android-MCP: MCP Server for interacting with Android Devices. fastmcp: The fast, Pythonic way to build MCP servers and clients. See the comparison table for live GitHub stats and shared categories. ### When should I choose Android-MCP over fastmcp? Choose Android-MCP over fastmcp when License: Android-MCP is MIT, fastmcp is Apache-2.0; Tags unique to Android-MCP: ai, android, automation, mcp-server; When developing applications requiring close integration with the Android device's hardware and needing an automated testing framework. ### When should I choose fastmcp over Android-MCP? Choose fastmcp over Android-MCP when License: fastmcp is Apache-2.0, Android-MCP is MIT; Requirements: fastmcp can be added to your project using the uv package manager, but full installation instructions are available on the official documentation.; Tags unique to fastmcp: agents, fastmcp, llms, mcp; Also covers AI Agents; Use fastmcp when you need to build MCP servers and clients in Python, as it provides a streamlined and Pythonic approach to implementing the Model Context Protocol. ### When should I avoid Android-MCP? If your project requires extensive use of native Java or Kotlin for deep system interactions that cannot leverage Python effectively In scenarios demanding very lightweight server solutions, as Android-MCP might introduce additional overhead due to its full-feature set ### When should I avoid fastmcp? Avoid fastmcp if your project does not require the Model Context Protocol (MCP), as it is specialized for this protocol and may introduce unnecessary complexity. Do not use fastmcp if you are working in a language other than Python, as it is a Python-specific library and will not be compatible with other languages. ### Is Android-MCP or fastmcp more popular on GitHub? fastmcp has more GitHub stars (27,718 vs 857). Stars measure visibility, not whether either tool fits your constraints. ### Are Android-MCP and fastmcp open source? Yes - both are open-source projects on GitHub (Android-MCP: MIT, fastmcp: Apache-2.0). ### Where can I find alternatives to Android-MCP or fastmcp? GraphCanon lists graph-backed alternatives at [Android-MCP alternatives](/tools/cursortouch-android-mcp/alternatives) and [fastmcp alternatives](/tools/prefecthq-fastmcp/alternatives) ([Android-MCP markdown twin](/tools/cursortouch-android-mcp/alternatives.md), [fastmcp markdown twin](/tools/prefecthq-fastmcp/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/cursortouch-android-mcp-vs-prefecthq-fastmcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Android-MCP or fastmcp? Android-MCP: Steady. fastmcp: 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 Android-MCP and fastmcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Android-MCP trust report](/tools/cursortouch-android-mcp/trust); [fastmcp trust report](/tools/prefecthq-fastmcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cursortouch-android-mcp`](/api/graphcanon/graph?tool=cursortouch-android-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/_