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.
Score-basis 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 · High execution risk · Universal · Evidence completeness 67%
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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
Pre-install score, evidence completeness, 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
Aliyun Opensearch Search
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
power-platform-mcp-connector-suite
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
| Dimension | Create-MCP | Aliyun Opensearch Search | power-platform-mcp-connector-suite |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 85 · Evidence missing | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Network, Command |
Evidence completeness | 67% | 69% | 65% |
| Source & provenance | |||
Provenance | AnnieBabs/Create-MCP | openclaw/skills | github/awesome-copilot |
Category | Integrations & Connectors | Knowledge & RAG | Integrations & Connectors |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | network access, runs shell, writes files | No explicit signals |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | local skill installation, workspace file updates |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex | Claude, Codex, Cursor, Windsurf |
Install method | script-backed | script-backed | instruction-only |
Install friction | |||
| Community | |||
Stars | 5 | 0 | 28.7K |
Repository: indonesia-gov-apis
Author: suryast · Source status: Clear source
🇮🇩 50+ Indonesian Government APIs & Data Sources — BPS, OJK, BPJPH, BPOM, Bank Indonesia, IDX, BMKG + MCP servers.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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 · High execution risk · Universal · Evidence completeness 65%
Repository: mcp-mindmesh
Author: 7ossamfarid · Source status: Clear source
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-09 |
2026-04-02 |
2026-04-07 |
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