"A tool for analyzing Indian stock data for investment decisions using LLMs and news insights" matching MCP connectors:

For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.

AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.

**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai

Persistent semantic memory for AI agents: store and recall text by meaning (RAG, Vectorize). x402

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

Persistent project context for xAI Grok. IANA-registered .faf format.

Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.

Extractive legal answers and semantic search over the public wiki.private.law corpus

Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.

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

Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.

Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.

Hosted persistent memory with semantic search, importance and TTL for AI agents.

Your company's brain for AI agents. Cited, permission-aware knowledge across every system.

Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.

Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.

Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.

Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.