"Information about Google Workspace" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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.
Serper MCP — wraps the Serper Google Search API (serper.dev)
Brave Search MCP — independent web index (no Google/Bing dependency)
News MCP: real-time headlines & custom news search across 7 regions. Free, just sign in with Google.
Self-hosted AI-native knowledge workspace with hybrid search, GraphRAG, and MCP.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
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.
Your curated sources (RSS, YouTube, podcasts, Google News) as context for any AI agent. 26 tools.
Your curated sources as context for any AI agent: RSS, YouTube channels, podcasts and Google News in one chronological reader. 26 tools to read, search, save, tag, highlight and annotate articles, plus audio briefings.
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
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.
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.
Provides metadata information to AI agents through the search API.
