Connect-MCP

IMPOCOR-AI Nexus

io.github.professoryilmaz1/impocor-ai-nexus · v0.1.0

Agent-native security, trust, reliability, data and procurement tools for AI workflows.

MCPremoteno credentialsAI & LLM

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 78/100

What it does: 6 tools · 6 read, 0 write · AI & LLM

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: 0
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://ai.impocorgroup.com/mcp

Tools

6 tools listed at last check
  • analyze_tool_description Free diagnostic for MCP/tool description quality. Use before publishing a tool to identify missing purpose, trigger, input, output and constraint cues.
  • optimize_tool_description Paid optimizer for MCP/tool descriptions. Purchase entitlement: https://ai.impocorgroup.com/agent-commerce/buy/mcp-tool-description-qa
  • inspect_structured_output Free inspection of structured agent output against required fields and basic object contracts.
  • repair_structured_output_plan Paid structured-output repair plan. Purchase entitlement: https://ai.impocorgroup.com/agent-commerce/buy/structured-output-schema-guard
  • inspect_rag_evidence Free evidence-hygiene diagnostic for RAG claims and sources, including citation and recency metadata coverage.
  • rag_quality_report Paid RAG evidence QA report. Purchase entitlement: https://ai.impocorgroup.com/agent-commerce/buy/rag-citation-freshness-qa

Badge

Connect-MCP badge for io.github.professoryilmaz1/impocor-ai-nexus

Markdown for your README
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