io.github.MagneticDogSon/fixflow
io.github.MagneticDogSon/fixflow · v1.0.0
Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
MCPremoteno credentialsKnowledge & docsDocuments & PDFAnalytics & marketing
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 85/100
What it does: 3 tools · 2 read, 1 write · Documents & PDF, Knowledge & docs, Analytics & marketing
Test call resolve_kb_id: worked (1,889 ms)
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: 0
- Safe test call: +20
- 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://fixflow-mcp.onrender.com/mcpTools
3 tools listed at last check
resolve_kb_idFIRST STEP in any troubleshooting workflow. Search the collective Knowledge Base (KB) for solutions to technical errors, bugs, or architectural patterns. Uses full-text search across titles, content, tags, and categories. Results are ranked by relevance and success rate. WHEN TO USE: - ALWAYS callread_kb_docSECOND STEP in the troubleshooting workflow. Read the full content and solution of a specific Knowledge Base card. Returns the card content WITH reliability metrics and related cards so you can assess trustworthiness and explore connected issues. WHEN TO USE: - Call this ONLY after obtaining a valsave_kb_cardWRITE to the Knowledge Base. This tool has TWO modes: **MODE 1 — SAVE a new card**: Provide `content` with full Markdown following the ACTIONABLE schema below. **MODE 2 — REPORT OUTCOME**: Provide `kb_id` + `outcome` ('success' or 'failure'). WHEN TO USE: - Mode 1: After successfully fixing a bug
Badge
Markdown for your README
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