Comparison
arcade-mcp vs fastapi_mcp
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 fastapi_mcp if fastapi_mcp enables FastAPI applications to integrate with MCP and includes authentication support.
Markdown twin · arcade-mcp alternatives · fastapi_mcp alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | arcade-mcp | fastapi_mcp |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Slowing (243d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 1mo · 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
- fastapi_mcp
- Expose FastAPI endpoints as MCP tools with authentication
Stars
- arcade-mcp
- 981
- fastapi_mcp
- 12k
Forks
- arcade-mcp
- 101
- fastapi_mcp
- 951
Open issues
- arcade-mcp
- 16
- fastapi_mcp
- 158
Language
- arcade-mcp
- Python
- fastapi_mcp
- 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.
- fastapi_mcp
- fastapi_mcp enables FastAPI applications to integrate with MCP and includes authentication support.
Persona
- arcade-mcp
- -
- fastapi_mcp
- -
Runtime
- arcade-mcp
- -
- fastapi_mcp
- -
License
- arcade-mcp
- MIT
- fastapi_mcp
- The MIT License grants permissive use rights without substantial obligations of any sort.
Last pushed
- arcade-mcp
- Jul 26, 2026
- fastapi_mcp
- Nov 24, 2025
Categories
- arcade-mcp
- AI Agents
- fastapi_mcp
- LLM Frameworks
Trust and health
Maintenance
- arcade-mcp
- Very active (96%)
- fastapi_mcp
- Slowing (36%)
Days since push
- arcade-mcp
- 0d
- fastapi_mcp
- 243d
Open issues (now)
- arcade-mcp
- 16
- fastapi_mcp
- 158
Full report
- arcade-mcp
- Trust report
- fastapi_mcp
- Trust report
Shared compatibility
- Python · arcade-mcp: Python runtime · fastapi_mcp: Python runtime
Choose arcade-mcp if…
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: arcade-ai, mcp-framework, model-context-protocol, 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 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 fastapi_mcp if…
- Tags unique to fastapi_mcp: authentication, authorization, claude, cursor.
- Also covers LLM Frameworks.
- When you need to expose FastAPI application endpoints following the Model Context Protocol (MCP) guidelines.
When NOT to use fastapi_mcp
- If your project strictly uses non-Python languages or frameworks that are not compatible with FastAPI and do not require integration with the Model Context Protocol (MCP).
- When you seek broader support outside MCP protocol, as this tool confines its utility specifically to applications needing MCP compatibility.
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 (tadata-org/fastapi_mcp) · observed Jul 26, 2026
- GitHub forks (tadata-org/fastapi_mcp) · observed Jul 26, 2026
- Last push (tadata-org/fastapi_mcp) · observed Nov 24, 2025
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
GitHub stars on cards: arcade-mcp 981 · fastapi_mcp 12k (synced Jul 27, 2026).
Common questions
- What is the difference between arcade-mcp and fastapi_mcp?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. fastapi_mcp: Expose FastAPI endpoints as MCP tools with authentication. See the comparison table for live GitHub stats and shared categories.
- When should I choose arcade-mcp over fastapi_mcp?
- Choose arcade-mcp over fastapi_mcp when Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: arcade-ai, mcp-framework, model-context-protocol, 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 choose fastapi_mcp over arcade-mcp?
- Choose fastapi_mcp over arcade-mcp when Tags unique to fastapi_mcp: authentication, authorization, claude, cursor; Also covers LLM Frameworks; When you need to expose FastAPI application endpoints following the Model Context Protocol (MCP) guidelines.
- 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 fastapi_mcp?
- If your project strictly uses non-Python languages or frameworks that are not compatible with FastAPI and do not require integration with the Model Context Protocol (MCP). When you seek broader support outside MCP protocol, as this tool confines its utility specifically to applications needing MCP compatibility.
- Is arcade-mcp or fastapi_mcp more popular on GitHub?
- fastapi_mcp has more GitHub stars (11,956 vs 981). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and fastapi_mcp open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, fastapi_mcp: MIT).
- Where can I find alternatives to arcade-mcp or fastapi_mcp?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and fastapi_mcp alternatives (arcade-mcp markdown twin, fastapi_mcp 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 fastapi_mcp?
- arcade-mcp: Very active. fastapi_mcp: 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 fastapi_mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; fastapi_mcp trust report.