"Information about Microsoft Outlook or general outlook-related topics" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
For queries a model can't confidently place: resolves or declines. Built to decline, not guess.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Semantic search over the Stoic corpus — Marcus Aurelius' Meditations, Seneca's essays, and Epictetus' Discourses, Enchiridion and Fragments. Search by theme or citation, fetch any passage, or get the daily reflection. Public domain translations, no auth.
Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.
Know whether an AI agent should REUSE or REFETCH a URL before retrieving it again.
Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.
Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.
Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
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.
Your office's procedures inside Claude or ChatGPT - verified citations or an honest refusal.
Answers questions about a business using its indexed website content, with cited sources.
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).
Illumora Craft — evidence-augmented prompt compile for agents via remote MCP (OAuth) or local stdio.
Connect Claude, Cursor, or ChatGPT to your business data. Ask questions, get answers.
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.
