F
licenseNot graded
qualityD
maintenanceEnables natural language queries on technical specifications and automated code compliance checks using local RAG with vector search, integrated via MCP.
-
QualityPilot
by benjik50
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@QualityPilotWhat is the PPM for supplier ABC last quarter?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
QualityPilot AI
AI copilot for document search and supplier quality analysis.
Objective
QualityPilot allows querying quality procedures in natural language, finding relevant passages with a RAG architecture, and calculating supplier KPIs using tools exposed by MCP.
Related MCP server: Industrial MCP Agent Platform
Planned features
PDF and Markdown document ingestion;
embedding generation;
vector storage with PostgreSQL and pgvector;
generation of sourced answers with an LLM;
calculation of PPM and non-conformity rate;
MCP server exposing business tools;
ReAct agent capable of selecting tools;
Streamlit interface;
mini VLM POC for image analysis;
retrieval testing and evaluation.
Technical stack
Python 3.12
FastAPI
PostgreSQL
pgvector
Ollama
MCP
Streamlit
Docker Compose
Git
Status
Personal project under development.
Current step
Initialization of the environment and the Git repository.
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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MCP-Native LLM Orchestration Agent
- docs2mcpOAuthcom.docs2mcp
Query your own PDFs and documents from any MCP client. Every answer cites the page it came from.
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
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