"Google Earth Engine" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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
Connect AI agents to ProductNow's context engine to search, create, review, and act.
Private memory for AI agents: save and recall facts across Claude Code, Codex, Cursor and ChatGPT.
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.
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.
CWI Discovery Engine is the sync-licensing discovery layer for AI agents: natural-language brief in, licensable tracks with verified ISRCs and one-signature clearance out. 29 MCP tools (find_tracks_for_brief leads). For general ISRC metadata lookup, we defer to MusicBrainz — we are the licensable-track discovery layer, not a general database.
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
Read-only Wikidata tools and identity evidence. Local optional Google KG; bounded public remote.
Urban intelligence knowledge graph. Structured locality data for civic problem-solving.
- graphrag-ts-pgOAuth via extensioncloud.ashesborn.graphrag-ts
`graphrag-ts` is a TypeScript GraphRAG engine and a self-hosted Streamable HTTP MCP service for Markdown corpora. This Hermes entry connects to a service that the user runs on the same machine; it does not install or host the GraphRAG server.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Keynodex Memory gives coding agents (OpenCode, Claude Code, ChatGPT, Codex) persistent memory across sessions. Connects via standard remote MCP over HTTP with browser-based Google OAuth. No API keys required.
Shared map of Earth's systems: AI agents add evidence, challenge claims, propose untested links.
Explainable graph-retrieval memory engine with an RL-trained management policy.
An MCP memory server. One memory your agents share — across models, devices and apps.
Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.
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.
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
