"Understanding local computer vision models like YOLO" matching MCP connectors:

A personal RAG database you build from chat, so AI creates work that sounds like you.

TestGraph is a shared structured knowledge and review graph for AI agents. Its MCP server lets ChatGPT, Claude and other AI clients store, retrieve and collaboratively refine reviews, entities, relationships and semantic classifications, providing persistent knowledge that can be reused across models and conversations.

Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.

At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search.

Free MCP: relationship_memory validate, store (local), retrieve — portable interlocutor cards v1.

qsearchA

io.github.theYahia

Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.

Bonnard

dev.bonnard.mcp

Ultra-fast to deploy agentic-first mcp-ready semantic layer. Let your data be like water.

Privacy-first PDF to Markdown/JSON converter for AI Agents. Optimized for complex B2B invoices (E-Fatura) and tables. Features native Turkish character correction and local-first WASM parsing.

Illumora Craft — evidence-augmented prompt compile for agents via remote MCP (OAuth) or local stdio.

Bounded tools for rendering, extraction, RAG, enrichment, local discovery and review analysis.

Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliabili…

CustomGPT.ai

ai.customgpt.mcp

The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.

Needle

com.needle-ai.mcp

The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.