Comparison
arcade-mcp vs fastmcp
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 fastmcp if fastmcp is designed for efficient creation of MCP servers and clients in Python, fitting projects looking to streamline AI agent context handling.
Markdown twin · arcade-mcp alternatives · fastmcp alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | arcade-mcp | fastmcp |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- arcade-mcp
- MCP Server Framework and Tool Development Library for Custom Agent Capabilities
- fastmcp
- The fast Pythonic way to build MCP servers and clients
Stars
- arcade-mcp
- 981
- fastmcp
- 27k
Forks
- arcade-mcp
- 101
- fastmcp
- 2.2k
Open issues
- arcade-mcp
- 16
- fastmcp
- 265
Language
- arcade-mcp
- Python
- fastmcp
- Python
Adopt for
- arcade-mcp
- 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.
- fastmcp
- fastmcp is designed for efficient creation of MCP servers and clients in Python, fitting projects looking to streamline AI agent context handling.
Persona
- arcade-mcp
- -
- fastmcp
- -
Runtime
- arcade-mcp
- -
- fastmcp
- -
License
- arcade-mcp
- MIT
- fastmcp
- FastMCP is licensed under the Apache License 2.0 which allows free use, modification and distribution of the software provided that the original license is included with each copy.
Last pushed
- arcade-mcp
- Jul 26, 2026
- fastmcp
- Jul 26, 2026
Categories
- arcade-mcp
- AI Agents
- fastmcp
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- arcade-mcp
- 16
- fastmcp
- 265
Full report
- arcade-mcp
- Trust report
- fastmcp
- Trust report
Shared compatibility
- Python · arcade-mcp: Python runtime · fastmcp: Python runtime
Choose arcade-mcp if…
- License: arcade-mcp is MIT, fastmcp is Apache-2.0.
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, model-context-protocol.
- 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 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.
Choose fastmcp if…
- License: fastmcp is Apache-2.0, arcade-mcp is MIT.
- Pricing: The core FastMCP library is free to use, with no premium tiers available as it is an open-source project..
- Tags unique to fastmcp: agents, fastmcp, llms, mcp.
- Also covers LLM Frameworks.
- Use fastmcp if your project demands high-performance Model Context Protocol (MCP) server or client development in Python.
When NOT to use fastmcp
- Avoid fastmcp if your project strictly requires language support beyond Python, as it is solely designed for Python development.
- Do not select this tool when the need arises to adhere to licensing terms outside of Apache-2.0.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ArcadeAI/arcade-mcp) · observed Jul 27, 2026
- GitHub forks (ArcadeAI/arcade-mcp) · observed Jul 27, 2026
- Last push (ArcadeAI/arcade-mcp) · observed Jul 26, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (PrefectHQ/fastmcp) · observed Jul 26, 2026
- GitHub forks (PrefectHQ/fastmcp) · observed Jul 26, 2026
- Last push (PrefectHQ/fastmcp) · observed Jul 26, 2026
- License file (Apache-2.0) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: arcade-mcp 981 · fastmcp 27k (synced Jul 27, 2026).
Common questions
- What is the difference between arcade-mcp and fastmcp?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. 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 arcade-mcp over fastmcp?
- Choose arcade-mcp over fastmcp when License: arcade-mcp is MIT, fastmcp is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, model-context-protocol; 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 fastmcp over arcade-mcp?
- Choose fastmcp over arcade-mcp when License: fastmcp is Apache-2.0, arcade-mcp is MIT; Pricing: The core FastMCP library is free to use, with no premium tiers available as it is an open-source project.; Tags unique to fastmcp: agents, fastmcp, llms, mcp; Also covers LLM Frameworks; Use fastmcp if your project demands high-performance Model Context Protocol (MCP) server or client development in Python.
- 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 fastmcp?
- Avoid fastmcp if your project strictly requires language support beyond Python, as it is solely designed for Python development. Do not select this tool when the need arises to adhere to licensing terms outside of Apache-2.0.
- Is arcade-mcp or fastmcp more popular on GitHub?
- fastmcp has more GitHub stars (26,846 vs 981). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and fastmcp open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, fastmcp: Apache-2.0).
- Where can I find alternatives to arcade-mcp or fastmcp?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and fastmcp alternatives (arcade-mcp markdown twin, fastmcp markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, arcade-mcp or fastmcp?
- arcade-mcp: Very active. 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 arcade-mcp and fastmcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; fastmcp trust report.