"Using Bing Search to Answer Questions" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
Governed organizational memory for AI, by EigenAtom. ChatGPT, Claude, Cursor and other agents save explicit memories to one shared store over MCP; AI only suggests labels, and the organization's deterministic policy decides who may read each memory, so recall returns only what the signed-in person may see. No admin bypass, audited changes, and memory content never reaches logs. Free 60-day trial, no credit card.
Speech denoise, transcripts (SRT/VTT), embeddings, reranking, entities and translation.
Document to Markdown: convert Word, Excel, PowerPoint and PDF files to Markdown for an LLM.
Enhanciar is an AI company brain for every team. It reads your Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub code and databases, writes a wiki from them, and answers questions from any MCP client with a link to the source. Tools: query (cited answers), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (what a code change touches), list_repos, list_skills, get_skill, propose_action and list_proposed_actions (tickets, Slack messages, Gmail drafts, Notion pages and calendar holds that a person approves first). Hosted service, bring your own AI key. Plans: Solo $24 a month, Team $100 a month for up to 10 people. Create an API key in Settings at https://enhanciar.in.
Everything your AI agents need to do their jobs, with a spending cap they can't go over.
Hybrid sparse-dense neural search with cross-encoder re-ranking and semantic retrieval over streamable HTTP.
Find explanations and worked examples in Ithy’s public article library, from SSD capacity to USB-C cables. Search titles and descriptions, then read relevant passages with source links and dates. No account or API key. Read-only; no new research or private data access. Articles are AI-assisted secondary sources—check important claims against original references. https://ithy.com/connect
Ask, search and review your Denser AI chatbots: knowledge base, chats, analytics and leads.
Discover MCP servers and packages, inspect their documented capabilities, endpoints, authentication requirements, provenance and observed readiness, and retrieve cited reference passages with document versions. Koskamo provides public discovery and reference tools alongside separately authorized contributor and owner workflows for server registration, listing maintenance, keys, issue reports and operation receipts. Tool discovery does not grant write authority: protected actions require the applicable account or owner key and documented confirmation. Live protocol observations and directory records are evidence of what was observed, not a guarantee that every connected service or tool works without its own credentials. Returned reference passages and third-party descriptions remain source material to review before citing or acting. Official connector repository: https://github.com/empline/koskamo-mcp. Support: support@koskamo.com.
Compress, merge, split, convert, OCR, redact, sign and create PDFs, and ask questions about them, without leaving the chat. Sign in with a FynePDF account (OAuth) or use an API key; results come back as files you can download or keep.
Marcora is the context layer for go-to-market teams. Build your source of truth once: a Brand Foundation (positioning, brand voice, and writing style) plus a Reference Library of product docs, buyer personas, competitive analysis, and messaging. Claude, ChatGPT, and any AI tool that supports MCP connections read from it, so what you write stays on-brand and accurate.
Search and fetch tools over the pages of pournasserian.com, Amir Pournasserian's personal website: his writing on MCP, AI agents and RAG, his experience, case studies and open-source projects. No authentication. Runs the open-source mcp-my-site.
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
One question, one checked answer: quote-verified answers from the web and ~45 structured sources.
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
The right context at the right time, from the world's leading data providers. One API. 800+ tools.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Web pages, PDFs and search results as LLM-ready Markdown or chunks. Firecrawl-compatible, EU-hosted.
Connect AI assistants to your Dedox knowledge base. List and read help articles, browse categories and search your help centre content.
PDF/DOCX/XLSX to markdown + RAG chunks, $0.001/page; failed files never charged.
Your feeds inside your AI. Read and search the articles of the RSS feeds, YouTube channels, podcasts and Google News searches you follow. On Plus and Pro, also save, tag, highlight and add notes. OAuth sign-in, every FeedNest plan.
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
