"UX Design Tools plugins for Hermes Desktop" 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.
Hosted memory for your AI coding agents. Projects, decisions, to-dos and lessons that carry across Claude, Cursor and ChatGPT. Nothing to install: sign in at flowstatemcp.com and connect. Encrypted at rest, backed up, export or erase any time. Beta: 6 months free, then half price.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
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.
Shared second brain for any AI with agent permissions
One place for your preferences, portable across every AI assistant and agent.
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
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.
Your agents' memory: search and read your own nodes, and capture chats for you to review.
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
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
Path-scoped project memories, rules and skills for coding agents, on your machine or Pathrule Cloud.
Team-shared memory MCP: 15 tools, search, links, collections, bulk ops, Teams workspaces.
Private memory for AI agents: save and recall facts across Claude Code, Codex, Cursor and ChatGPT.
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
Your personal library, readable by AI agents: durable snapshots, hybrid search, 46 MCP tools.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Durable shared memory for AI agents: search, write and correct facts, with per-client policy.
Shared working memory for teams and their AI assistants: versioned notes, tasks with questions for humans, summary docs, files and search, organised by space. Remote MCP server (streamable HTTP, OAuth 2.1), hosted in France. Works with Claude, ChatGPT and Mistral Le Chat.
Sourced game design precedents: where a mechanic came from, why designers chose it, who reused it.
Personal memory for you and your AI. Your insurance, accounts, IDs, documents and people.
CVE, KEV, MITRE ATT&CK, CWE and detection graph for AI agents; every link names its source.
Shared working memory for teams and their AI assistants: notes, tasks, docs and files by space.
A2A Grocery — the agentic commerce hub for retail grocery, at its original address
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.
A living map of all your work that keeps you, your team, and your agents on the same page
Project memory, documentation and controlled secret access for AI coding agents.
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.
Liliphant joins your meetings and remembers the work across all of them. Most tools stop at one transcript. Liliphant connects every conversation, so you can ask what was decided, who promised what, what changed since the first meeting, or what's still blocked. Every answer comes with the exact quote, the speaker and the meeting it came from, and if something is unclear, Liliphant tells you. Open promises and unanswered questions stay in view until someone marks them done.
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
Shared project memory for coding agents: decisions, lessons, guardrails and tasks per repository.
Shared workspace for Claude, ChatGPT and local models: notes, append-only logs, issues, recurring tasks and environment secrets, so what one AI did yesterday another can read today. Hosted service, free up to 1 GB per account; connect with an MCP-type API key (Authorization: Bearer or x-api-key).
Shared memory MCP server for Claude Code, Codex, Gemini CLI and Cursor. Cited, editable.
Persistent context and memory vault for AI. Save your brand, project facts, prompts, skills and sessions once, then use them in Claude, ChatGPT, Cursor and any MCP client.
