Comparison
arcade-mcp vs witsy
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 witsy if witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also.
Markdown twin · arcade-mcp alternatives · witsy alternatives
GraphCanon updated Sep 20, 2026
19views this month
vs
Trust & integrity
| Signal | arcade-mcp | witsy |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (149d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- witsy
- Desktop AI Assistant and Universal MCP Client
Stars
- arcade-mcp
- 1.0k
- witsy
- 2.0k
Forks
- arcade-mcp
- 113
- witsy
- 171
Open issues
- arcade-mcp
- 22
- witsy
- 60
Language
- arcade-mcp
- Python
- witsy
- 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.
- witsy
- Witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also supports local model running through Ollama.
Persona
- arcade-mcp
- -
- witsy
- -
Runtime
- arcade-mcp
- -
- witsy
- -
License
- arcade-mcp
- MIT
- witsy
- AGPL-3.0
Last pushed
- arcade-mcp
- Sep 19, 2026
- witsy
- Apr 23, 2026
Categories
- arcade-mcp
- AI Agents
- witsy
- AI Agents, Inference & Serving
Trust and health
Maintenance
- arcade-mcp
- Very active (96%)
- witsy
- Slowing (36%)
Days since push
- arcade-mcp
- 1d
- witsy
- 149d
Open issues (now)
- arcade-mcp
- 22
- witsy
- 60
Stars delta
- arcade-mcp
- +49 (30d)
- witsy
- +10 (30d)
Open issues delta
- arcade-mcp
- +6 (30d)
- witsy
- +5 (30d)
Full report
- arcade-mcp
- Trust report
- witsy
- Trust report
Shared compatibility
- Python · arcade-mcp: Python runtime · witsy: Python runtime
Choose arcade-mcp if…
- arcade-mcp is primarily Python; witsy is TypeScript.
- License: arcade-mcp is MIT, witsy is AGPL-3.0.
- 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 witsy if…
- witsy is primarily TypeScript; arcade-mcp is Python.
- License: witsy is AGPL-3.0, arcade-mcp is MIT.
- Tags unique to witsy: anthropic, deepseek, electronjs, gemini.
- Also covers Inference & Serving.
- witsy ships an MCP server manifest.
- If you need an AI solution that can integrate with almost any LLM provider via MCP servers.
When NOT to use witsy
- If you do not have existing API keys from LLM providers and are not interested in setting up a local model through Ollama.
- For users who require an out-of-the-box solution that does not necessitate managing multiple provider integrations or configurations for different services.
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 Sep 20, 2026
- GitHub forks (ArcadeAI/arcade-mcp) · observed Sep 20, 2026
- Last push (ArcadeAI/arcade-mcp) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Kochava-Studios/witsy) · observed Sep 20, 2026
- GitHub forks (Kochava-Studios/witsy) · observed Sep 20, 2026
- Last push (Kochava-Studios/witsy) · observed Apr 23, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: arcade-mcp 1.0k · witsy 2.0k (synced Sep 20, 2026).
Common questions
- What is the difference between arcade-mcp and witsy?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. witsy: Desktop AI Assistant and Universal MCP Client. See the comparison table for live GitHub stats and shared categories.
- When should I choose arcade-mcp over witsy?
- Choose arcade-mcp over witsy when arcade-mcp is primarily Python; witsy is TypeScript; License: arcade-mcp is MIT, witsy is AGPL-3.0; 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 witsy over arcade-mcp?
- Choose witsy over arcade-mcp when witsy is primarily TypeScript; arcade-mcp is Python; License: witsy is AGPL-3.0, arcade-mcp is MIT; Tags unique to witsy: anthropic, deepseek, electronjs, gemini; Also covers Inference & Serving; witsy ships an MCP server manifest; If you need an AI solution that can integrate with almost any LLM provider via MCP servers.
- 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 witsy?
- If you do not have existing API keys from LLM providers and are not interested in setting up a local model through Ollama. For users who require an out-of-the-box solution that does not necessitate managing multiple provider integrations or configurations for different services.
- Is arcade-mcp or witsy more popular on GitHub?
- witsy has more GitHub stars (2,026 vs 1,030). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and witsy open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, witsy: AGPL-3.0).
- Where can I find alternatives to arcade-mcp or witsy?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and witsy alternatives (arcade-mcp markdown twin, witsy 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 witsy?
- arcade-mcp: Very active. witsy: 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 witsy?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; witsy trust report.