"Information about Microsoft Teams" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Turn Microsoft Fabric tables into an explainable graph and a GraphQL API. Understand how your Fabric tables fit together. See how your Fabric tables connect: the keys and relationships Krusgraph suggests, why, and what your data says, before a report or an app depends on them. A one-stop-shop for Data Engineering on Fabric
Team-shared memory MCP: 15 tools, search, links, collections, bulk ops, Teams workspaces.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Global investment research agent & knowledge base by ReportGem. Search 16 million+ global investment bank reports (Goldman Sachs, Citi, HSBC, UBS, JPMorgan, Morgan Stanley, Barclays, Nomura), 5 million+ reports from 200+ Chinese brokers and futures houses, company filings, SEC filings, earnings-call notes, academic papers and in-report charts; read page-cited source passages with sequential reading. OAuth login with a ReportGem account; new accounts get 10 free credits (about 100k returne
Memory for AI agent teams across tools, sessions, repositories, and teammates.
Shared memory for teams: every AI agent works from your company's knowledge, decisions and history.
Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.
Neutral verification registry for femtech (women's health) information sources. It indexes sources by provenance, authority tier, jurisdiction, and machine-readable compensation disclosure. No diagnosis, no efficacy claims, no referral fees.
Lets your assistant search and read your ThinkerNotes: the insights you've written in your own words, your drafts, and your notes on books and podcasts. Ask "what have I already figured out about pricing?" and get back your own conclusions instead of a generic answer. Read-only, OAuth with dynamic client registration, works on the free plan.
Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md
Stop juggling chat windows. Complete your project in one seamless conversation. Marvnor is a proprietary, hosted MCP/API service that gives your AI agent persistent project memory. Your agent saves confirmed or evidence-backed requirements, decisions, and changes. For each new question, Marvnor retrieves relevant saved records, verifies claims against them, and flags conflicting information for your confirmation. Records can be corrected or deleted as your project evolves. Spend less time repeating the background and untangling old decisions. Pass only the current question and relevant results to your model to reduce repeated history in its input and keep your project moving.
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Your family office in Claude, ChatGPT, and Muse. Ask about your trusts, entities, and documents.
Facts about Micah Boswell, product design leader in Dallas: work, writing, photography, profiles.
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Shared memory for coding agents and their teams: project docs with semantic search, plus epics, tasks, open questions and decisions your agent reads and writes over MCP. Teammates and their agents share the same board. Deploy and permanent delete stay human-only and are enforced by the server. Free tier, no card. Setup: https://app.bilgai.com/docs/connect — API key (blg_) as Bearer or OAuth. Issues: https://github.com/volkansuner/bilg-feedback
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information. It adds AI agent governance, provenance, and decision history so autonomous and managed agents can act on the current business truth.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Hosted long-term memory for AI agents via MCP. Recalld updates facts as information changes and retrieves relevant context. Connect with a Recalld EU account.
Authoritative information about Jennifer Rebholz, Arizona personal injury attorney and trial lawyer.
Remote MCP to publish, search, and get information. x402 v2 required.
Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.
Hosted long-term memory for AI agents via MCP. Recalld updates facts as information changes and retrieves relevant context. Connect with a Recalld US account.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
DM is shared context for human + AI teams. Before a task, a connected agent asks DM for the approved Rules, Skills and Decisions that apply, within a token budget and with the reason each one applies. After the task, the agent submits what it learned as a proposal, and a person decides what becomes shared. Approved context is reused on later tasks without waiting for a new approval. Connect with just the URL: DM supports OAuth discovery and dynamic client registration, so there's no client ID or
Highlight anything you read. Then ask your AI about it. Highlyt puts your PDFs, EPUBs, web articles and supported Kindle highlights in one library. Students ask Claude or ChatGPT what they highlighted across their papers; researchers turn colour-coded highlights into a Markdown brief with BibTeX/RIS/CSL-JSON references; readers turn book highlights into notes. Your AI can search, read, create and link highlights. 7-day free trial (3 documents), no card needed, then Pro $4.99/mo or $39/yr.
Highlight anything you read. Then ask your AI about it: search, read and edit your highlights.
MCP server for product teams wanting alignment on strategy and decisions. Connects Claude to your Ambix workspace — initiatives, objectives, journey stages, and strategic direction — so you can reason over your full product context directly in conversation.
Long-term memory for AI agents: learns what is true about each person and answers with sources.
A wiki about your life that writes itself. Save from any AI chat, recall it in the next.
Your Lycatra agents, wiki, teams, schedules and vault sign-ins, and film gear to rent, from chat.
Ask about your team's meetings: decisions, tasks and the exact remarks behind them, linked as a project graph. Read-only by default (OAuth).
Shared, permission-aware memory for teams and their AI: recall, save, and keep knowledge current.
One MCP server for the services your AI needs: memory, files, Microsoft 365, kanban and more.
Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.
Shared memory for teams and their AI agents: Markdown concepts with typed links in shared bundles.
Company facts about Leeveel: general info, ideology, contact details, company and tools.
Company brain for teams and AI: read and write goals, to-dos, comments, and knowledge.
