Comparison
arcade-mcp vs mcp-agent
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.
Markdown twin · arcade-mcp alternatives · mcp-agent alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | arcade-mcp | mcp-agent |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Slowing (181d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 4w · 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
- mcp-agent
- Build effective AI agents with Model Context Protocol.
Stars
- arcade-mcp
- 981
- mcp-agent
- 8.5k
Forks
- arcade-mcp
- 101
- mcp-agent
- 866
Open issues
- arcade-mcp
- 16
- mcp-agent
- 140
Language
- arcade-mcp
- Python
- mcp-agent
- 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.
- mcp-agent
- Allows creation of efficient AI agents via Model Context Protocol with workflow patterns
Persona
- arcade-mcp
- -
- mcp-agent
- -
Runtime
- arcade-mcp
- -
- mcp-agent
- -
License
- arcade-mcp
- MIT
- mcp-agent
- Apache-2.0
Last pushed
- arcade-mcp
- Jul 26, 2026
- mcp-agent
- Jan 25, 2026
Categories
- arcade-mcp
- AI Agents
- mcp-agent
- AI Agents
Trust and health
Maintenance
- arcade-mcp
- Very active (96%)
- mcp-agent
- Slowing (36%)
Days since push
- arcade-mcp
- 0d
- mcp-agent
- 181d
Open issues (now)
- arcade-mcp
- 16
- mcp-agent
- 140
Full report
- arcade-mcp
- Trust report
- mcp-agent
- Trust report
Shared compatibility
- Python · arcade-mcp: Python runtime · mcp-agent: Python runtime
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.
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 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 mcp-agent
- Require a more customizable approach beyond pre-defined protocol and workflows
- Project demands specific AI frameworks unsupported by Model Context Protocol directly
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 (lastmile-ai/mcp-agent) · observed Jul 26, 2026
- GitHub forks (lastmile-ai/mcp-agent) · observed Jul 26, 2026
- Last push (lastmile-ai/mcp-agent) · observed Jan 25, 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 · mcp-agent 8.5k (synced Jul 27, 2026).
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 (8,478 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 and mcp-agent alternatives (arcade-mcp markdown twin, mcp-agent 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 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; mcp-agent trust report.