Comparison
awesome-mcp-servers vs arcade-mcp
Verdict
Pick awesome-mcp-servers if awesome-mcp-servers is a curated list of Model Context Protocol servers for AI applications, useful when you need specific resources related to MCP and less suitable if your focus is on other protocols; 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.
Markdown twin · awesome-mcp-servers alternatives · arcade-mcp alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-mcp-servers | arcade-mcp |
|---|---|---|
| Maintenance | Steady (81d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 3w · 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
- awesome-mcp-servers
- A curated list of Model Context Protocol servers
- arcade-mcp
- MCP Server Framework and Tool Development Library for Custom Agent Capabilities
Stars
- awesome-mcp-servers
- 5.7k
- arcade-mcp
- 981
Forks
- awesome-mcp-servers
- 2.1k
- arcade-mcp
- 101
Open issues
- awesome-mcp-servers
- 534
- arcade-mcp
- 16
Language
- awesome-mcp-servers
- -
- arcade-mcp
- Python
Adopt for
- awesome-mcp-servers
- awesome-mcp-servers is a curated list of Model Context Protocol servers for AI applications, useful when you need specific resources related to MCP and less suitable if your focus is on other protocols.
- 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.
Persona
- awesome-mcp-servers
- -
- arcade-mcp
- -
Runtime
- awesome-mcp-servers
- -
- arcade-mcp
- -
License
- awesome-mcp-servers
- -
- arcade-mcp
- MIT
Last pushed
- awesome-mcp-servers
- May 6, 2026
- arcade-mcp
- Jul 26, 2026
Categories
- awesome-mcp-servers
- Model Training
- arcade-mcp
- AI Agents
Trust and health
Maintenance
- awesome-mcp-servers
- Steady (60%)
- arcade-mcp
- Very active (96%)
Days since push
- awesome-mcp-servers
- 81d
- arcade-mcp
- 0d
Open issues (now)
- awesome-mcp-servers
- 534
- arcade-mcp
- 16
Owner type
- awesome-mcp-servers
- User
- arcade-mcp
- Organization
Full report
- awesome-mcp-servers
- Trust report
- arcade-mcp
- Trust report
Choose awesome-mcp-servers if…
- Pricing: The pricing model is unknown since the information provided does not specify any costs associated with using awesome-mcp-servers..
- Requirements: Requires familiarity with Model Context Protocol servers for effective use.; May require additional software or setup configurations to fully utilize the listed server resources..
- Tags unique to awesome-mcp-servers: anthropic-claude, mcp, tool-use, tools.
- Also covers Model Training.
- Use awesome-mcp-servers if you specifically require access to detailed listings of Model Context Protocol server resources that can be integrated into AI applications.
When NOT to use awesome-mcp-servers
- Avoid using it if your requirements do not align with the Model Context Protocol, opting instead for platforms that support a broader range of protocols.
- If you need to focus on different aspects of AI development not covered by MCP resources or prefer real-time data over curated lists, this might not be suitable.
Choose arcade-mcp if…
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (appcypher/awesome-mcp-servers) · observed Jul 26, 2026
- GitHub forks (appcypher/awesome-mcp-servers) · observed Jul 26, 2026
- Last push (appcypher/awesome-mcp-servers) · observed May 6, 2026
- License file (unknown) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 2026
- 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 on cards: awesome-mcp-servers 5.7k · arcade-mcp 981 (synced Jul 26, 2026).
Common questions
- What is the difference between awesome-mcp-servers and arcade-mcp?
- awesome-mcp-servers: A curated list of Model Context Protocol servers. arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-mcp-servers over arcade-mcp?
- Choose awesome-mcp-servers over arcade-mcp when Pricing: The pricing model is unknown since the information provided does not specify any costs associated with using awesome-mcp-servers.; Requirements: Requires familiarity with Model Context Protocol servers for effective use.; May require additional software or setup configurations to fully utilize the listed server resources.; Tags unique to awesome-mcp-servers: anthropic-claude, mcp, tool-use, tools; Also covers Model Training; Use awesome-mcp-servers if you specifically require access to detailed listings of Model Context Protocol server resources that can be integrated into AI applications.
- When should I choose arcade-mcp over awesome-mcp-servers?
- Choose arcade-mcp over awesome-mcp-servers when Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: 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 avoid awesome-mcp-servers?
- Avoid using it if your requirements do not align with the Model Context Protocol, opting instead for platforms that support a broader range of protocols. If you need to focus on different aspects of AI development not covered by MCP resources or prefer real-time data over curated lists, this might not be suitable.
- 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.
- Is awesome-mcp-servers or arcade-mcp more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (5,716 vs 981). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-mcp-servers and arcade-mcp open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-mcp-servers or arcade-mcp?
- GraphCanon lists graph-backed alternatives at awesome-mcp-servers alternatives and arcade-mcp alternatives (awesome-mcp-servers markdown twin, arcade-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, awesome-mcp-servers or arcade-mcp?
- awesome-mcp-servers: Steady. arcade-mcp: 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 awesome-mcp-servers and arcade-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-mcp-servers trust report; arcade-mcp trust report.