Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
SAS-v2.1 diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: mcp-sequentialthinking-tools
Author: spences10 · Source status: Clear source
🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage.
Score basis：Clear source · Low risk signals · Universal
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Audit score, evidence confidence, trust score, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
Create-MCP
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
indonesia-gov-apis
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
mcp-mindmesh
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Create-MCP | indonesia-gov-apis | mcp-mindmesh |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Evidence confidence | 67% | 65% | 67% |
| Source & provenance | |||
Provenance | AnnieBabs/Create-MCP | suryast/indonesia-gov-apis | 7ossamfarid/mcp-mindmesh |
Freshness | 2026-04-09 | 2026-04-05 | 2026-04-06 |
| Risk & trust | |||
Trust score | 82 | 82 | 81 |
| Community | |||
Stars | 5 | 130 | 5 |
Repository: LibreChat
Author: danny-avila · Source status: Clear source
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpret
Score basis：Clear source · Low risk signals · Universal
Repository: awesome-copilot
Author: github · Source status: Clear source
Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
Score basis：Clear source · Low risk signals · Claude
