"Google Keep" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Direct access to 60+ 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.
Objective-driven deep research: free daily quick search plus MPP-paid cross-source browser reports.
1 Google Search endpoints. Pay per call in USDC via x402.
Brave Search MCP — independent web index (no Google/Bing dependency)
Serper MCP — wraps the Serper Google Search API (serper.dev)
News MCP: real-time headlines & custom news search across 7 regions. Free, just sign in with Google.
Enrich Google Maps leads, crawl docs to RAG Markdown, transcribe podcasts, check AI crawler access.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
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.
- OpenLoreOAuthsh.openlore
The public docs for setting up your own Lore server. A frontier knowledge base that’s minimal extensible and agent-native. Designed to keep shared context current and inspectable
Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).
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.
