Comparison
arcade-mcp vs awesome-mcp-servers
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 awesome-mcp-servers if decision Facts for awesome-mcp-servers.
Markdown twin · arcade-mcp alternatives · awesome-mcp-servers alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | arcade-mcp | awesome-mcp-servers |
|---|---|---|
| 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
- awesome-mcp-servers
- A comprehensive collection of Model Context Protocol (MCP) servers
Stars
- arcade-mcp
- 981
- awesome-mcp-servers
- 790
Forks
- arcade-mcp
- 101
- awesome-mcp-servers
- 638
Open issues
- arcade-mcp
- 16
- awesome-mcp-servers
- 36
Language
- arcade-mcp
- Python
- awesome-mcp-servers
- TypeScript
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.
- awesome-mcp-servers
- Decision Facts for awesome-mcp-servers
Persona
- arcade-mcp
- -
- awesome-mcp-servers
- -
Runtime
- arcade-mcp
- -
- awesome-mcp-servers
- -
License
- arcade-mcp
- MIT
- awesome-mcp-servers
- MIT
Last pushed
- arcade-mcp
- Jul 26, 2026
- awesome-mcp-servers
- Jul 27, 2026
Categories
- arcade-mcp
- AI Agents
- awesome-mcp-servers
- Model Training
Trust and health
Open issues (now)
- arcade-mcp
- 16
- awesome-mcp-servers
- 36
Full report
- arcade-mcp
- Trust report
- awesome-mcp-servers
- Trust report
Choose arcade-mcp if…
- arcade-mcp is primarily Python; awesome-mcp-servers is TypeScript.
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: ai, 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 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 awesome-mcp-servers if…
- awesome-mcp-servers is primarily TypeScript; arcade-mcp is Python.
- Tags unique to awesome-mcp-servers: anthropic, genai, mcp, mcp-server.
- Also covers Model Training.
- awesome-mcp-servers ships an MCP server manifest.
- Need TypeScript-based MCP server implementations and resources.
When NOT to use awesome-mcp-servers
- Require backend languages other than TypeScript for MCP servers.
- Looking for a general-purpose AI development toolkit, not MCP-specific solutions.
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 (TensorBlock/awesome-mcp-servers) · observed Jul 27, 2026
- GitHub forks (TensorBlock/awesome-mcp-servers) · observed Jul 27, 2026
- Last push (TensorBlock/awesome-mcp-servers) · observed Jul 27, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: arcade-mcp 981 · awesome-mcp-servers 790 (synced Jul 27, 2026).
Common questions
- What is the difference between arcade-mcp and awesome-mcp-servers?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. awesome-mcp-servers: A comprehensive collection of Model Context Protocol (MCP) servers. See the comparison table for live GitHub stats and shared categories.
- When should I choose arcade-mcp over awesome-mcp-servers?
- Choose arcade-mcp over awesome-mcp-servers when arcade-mcp is primarily Python; awesome-mcp-servers is TypeScript; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, 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 choose awesome-mcp-servers over arcade-mcp?
- Choose awesome-mcp-servers over arcade-mcp when awesome-mcp-servers is primarily TypeScript; arcade-mcp is Python; Tags unique to awesome-mcp-servers: anthropic, genai, mcp, mcp-server; Also covers Model Training; awesome-mcp-servers ships an MCP server manifest; Need TypeScript-based MCP server implementations and resources.
- 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 awesome-mcp-servers?
- Require backend languages other than TypeScript for MCP servers. Looking for a general-purpose AI development toolkit, not MCP-specific solutions.
- Is arcade-mcp or awesome-mcp-servers more popular on GitHub?
- arcade-mcp has more GitHub stars (981 vs 790). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and awesome-mcp-servers open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, awesome-mcp-servers: MIT).
- Where can I find alternatives to arcade-mcp or awesome-mcp-servers?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and awesome-mcp-servers alternatives (arcade-mcp markdown twin, awesome-mcp-servers 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 awesome-mcp-servers?
- arcade-mcp: Very active. awesome-mcp-servers: 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 awesome-mcp-servers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; awesome-mcp-servers trust report.