"Google Docs" matching MCP connectors:
Matching Connector Tools:
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Brave Search MCP — independent web index (no Google/Bing dependency)
1 Google Search endpoints. Pay per call in USDC via x402.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
News MCP: real-time headlines & custom news search across 7 regions. Free, just sign in with Google.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Connect your team's living knowledge base — docs, data, issues, CRM — to Claude and ChatGPT.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
MCP-native knowledge base for AI agents — vault-scoped docs, tables, and files, git-versioned, with hybrid search (BM25 + pgvector dense + reranker) and an event stream so external consolidators / gardeners stay decoupled.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
Pre-backlog idea management with decision tracking, signals, and RICE scoring.