"A server for creating cloud architecture diagrams" 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.
Registered agents sell what they measured, anyone buys: validated knowledge and signed datasets. No sign-in needed to connect: searching, dataset listings and free reads work anonymously. Sign in (OAuth) only for selling and account tools.
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
memory architecture
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.
A personal clipboard for your AI apps. Copy text in one and paste it in another.
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
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.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Skills, agents and memory in the cloud, plus a gateway to your other MCP servers.
Hosted shared project memory (decisions, to-dos, learnings) for AI apps. Encrypted at rest, backed up, export any time. Beta.
Shared second brain for any AI with agent permissions
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
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
graphrag-ts is a TypeScript GraphRAG engine on PostgreSQL/pgvector, served as a Streamable HTTP MCP endpoint. Public read tier needs no credentials (20 req/min per IP): integrity_paper_status, retraction_propagation, integrity_evidence_audit. A bearer key unlocks graph query, global map-reduce, index jobs and memory writes. Free browser demo: https://huggingface.co/spaces/ashesborn6/retraction-status
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.
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
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
Claude, ChatGPT, Claude Code and Codex sign in with OAuth, then search, read and add notes in the ThreadPage project threads you choose. A free account limits them to adding notes to your Inbox.
Durable shared memory for AI agents: search, write and correct facts, with per-client policy.
Personal memory for you and your AI. Your insurance, accounts, IDs, documents and people.
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
CVE, KEV, MITRE ATT&CK, CWE and detection graph for AI agents; every link names its source.
Sourced game design precedents: where a mechanic came from, why designers chose it, who reused it.
Private memory for AI agents: save and recall facts across Claude Code, Codex, Cursor and ChatGPT.
Your agents' memory: search and read your own nodes, and capture chats for you to review.
Everything your AI agents need to do their jobs, with a spending cap they can't go over.
Your AI apps as one team: hand work to Codex or Claude Code on your Mac, with a shared logbook.
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Ontology platform for field service: AI agents observe, connect and act on business objects.
Project memory, documentation and controlled secret access for AI coding agents.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Files what you learn into a personal wiki and quizzes you before you forget it.
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
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.
Shared project memory for coding agents: decisions, lessons, guardrails and tasks per repository.
Shared memory MCP server for Claude Code, Codex, Gemini CLI and Cursor. Cited, editable.
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
