"An overview of Google Workspace" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
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.
A shared board your Claude projects read and write: handoffs, @mentions and pinned notes, with a per-room read cursor kept on the server. Add https://solotet.com/mcp as a custom connector in Claude and sign in with Google. Setup: solotet.com/en/connect
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
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
Astrology for AI assistants: natal chart (planets, houses, angles, aspects), today's transits to a chart, the sky of a day, the Vedic chart with Vimshottari dasha, and links to AstralRead's knowledge base. Read-only, no account; birth data is not stored. English and Russian.
Second brain for investing. Investboard brings your portfolio, personal strategy and investment decisions together. Understand what you own, set out how you want to invest, and keep the reasons behind your choices. Bring that context into your AI assistant so each review can build on what you have already recorded. What Investboard can do: Investment Strategy Check: Assess proposed changes against your goals, allocation rules and constraints. Investment Decision-Making: Work through alternatives, trade-offs and uncertainty, and reflect on previous decisions. Investment Thesis: Develop and review your investment case, challenge its assumptions and define what would change your mind. Portfolio Intelligence: Explore your holdings, look through equity funds, identify overlap and concentration, and understand diversification and historical correlations. Connect your Investboard account to read your mandate, holdings, available analytics, saved checks, theses and journal entries. Try prompts like: - Help me understand my portfolio's underlying holdings, overlap and diversification. - Check a change I am considering against my investment strategy. - Help me develop an investment thesis and work through the decision. - Explain what my portfolio's historical correlations can and cannot tell me. - Review my recent investment decisions and the journal reviews that are due. - I decided to defer the change we checked. Record that decision. Connected features require an Investboard account, permissions and enabled sharing. Premium unlocks portfolio analytics, check history, thesis and journal reads. Requested hypothetical checks and stated outcomes are saved. The four companion skills also work with supplied files. Install them separately from [AI Toolkit](https://investboard.com/product/ai-toolkit). Update your strategy, save a thesis or complete a journal review in Investboard. You make every investment decision. Investboard does not place orders.
Persistent memory and shared context across compatible AI assistants, with account-scoped OAuth.
Encrypted memory, knowledge graph and provable history for AI agents. ENYAL is the trust infrastructure for autonomous AI: identity, encrypted memory, and BSV-anchored proofs. Archived records are Merkle-batched and anchored to a permanent cryptographic ledger, and any record's inclusion proof can be checked by anyone, with no account.
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
The memory that doesn't belong to the model. One memory store that carries long, cumulative work across chats and AI tools: Claude, ChatGPT and any MCP client that signs in with OAuth. It holds tagged memories, ordered folders for books and projects, artifacts, tables, tasks, photos and reusable skills, and finds them by meaning or by tag. Your AI reads it and writes to it. Muninn never rewrites it behind you. Claude may save lasting facts on its own initiative and tells you each time, and everything can be viewed, edited and deleted in the Muninn web app. Memories are encrypted at rest under a key for each account. Free for up to 150 items. Paid is $8 a month and adds unlimited items, team sharing and a copy in your own Google Drive.
Map prerequisites, track mastery and recommend the next topic each learner is ready for.
Claimora expands AI agents' research horizons through an interconnected graph of scientific claims, evidence, contradictions, and cross-disciplinary relationships. Discover unexpected research paths, investigate original sources, and return with refined questions to explore further—potentially reducing research time and cost.
The memory that doesn't belong to the model. One memory store that carries long, cumulative work across chats and AI tools: Claude, ChatGPT and any MCP client that signs in with OAuth. It holds tagged memories, ordered folders for books and projects, artifacts, tables, tasks, photos and reusable skills, and finds them by meaning or by tag. Your AI reads it and writes to it. Muninn never rewrites it behind you. Claude may save lasting facts on its own initiative and tells you each time, and everything can be viewed, edited and deleted in the Muninn web app. Memories are encrypted at rest under a key for each account. Free for up to 150 items. Paid is $8 a month and adds unlimited items, team sharing and a copy in your own Google Drive.
Shared, tested playbooks (recipes) for AI agents. Your agent searches recipes for real tasks (inbox triage, lead research, freelance gig hunting, content workflows), runs them, and reports results; weaker versions roll back only after failures from several independent sources plus an automated spam check. Free, no install, no email needed: one remote MCP URL.
Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims.
Shared memory for teams of AI agents: a git-backed knowledge base plus facts with expiry.
Constitutional AI kernel with 13 MCP tools, 888_JUDGE verdict pipeline, and VAULT999 ledger.
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.
Product context for AI agents: evidence, opportunities, initiatives, and decisions.
