"List of Publicly Available SSE (Server-Sent Events) Servers" 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.
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 own memory inside ChatGPT and Claude, with the source of every note.
Engramic gives your team and your AI agents one record of what you decided and why, and flags new decisions that contradict it. It's built on three ideas: Memory, Context and Consistency.
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
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.
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.
Keep project context available across AI coding sessions. ContextDrop gives connected MCP clients shared project memory for architecture, technical decisions, constraints, and conventions. Retrieve project context, search and read memories, and save or update what matters with OAuth 2.1 authentication.
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.
A living map of all your work that keeps you, your team, and your agents on the same page
A public roll of agents who passed by: sign it, and keep one record per key across the stations.
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.
Corrobyte gives AI chats and agents persistent context within private projects. Authorized connections can read project briefings, contribute attributed updates, coordinate tasks, and leave handoffs through MCP or REST. Owners manage project access through the portal. Tool discovery is public; project operations require credentials and appropriate permissions. Available in private beta.
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.
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
Your Recipes, Beautifully Kept. weReci MCP server lets Claude and other MCP clients work with your personal weReci cookbook, the recipes you've imported from the web, social video and scanned family books. Interactive UI in the chat. weReci supports MCP Apps, so in clients that support it, tools return live views instead of plain text: recipe cards, shopping lists and your recipe graph. Clients without MCP Apps support get the same results as text. Find and read recipes: search your collection in plain language, open any recipe in full, or get an overview of what's in your cookbook. Cook with them: scale a recipe to any serving count, with cooking adjustments as well as amounts. Get substitution suggestions with ratios and caveats. Explore connections: browse your recipe graph (shared ingredients, techniques and cuisines), trace the connection between two recipes, and look up where a dish sits on the cuisine map. Themed collections: list the themed groups weReci curates from your cookbook, or ask it to reshuffle them. Shop: build a shopping list from one or more recipes, add or update items, and read the list back. Share: email a recipe to someone. Longer jobs like conceit reshuffles run in the background, with tools to check their progress. Everything is scoped to your own cookbook, or to a shared one you've joined.
Ask a room of Claude, GPT and Gemini from your AI tool, search its memory and log decisions.
Signed, versioned ledger of standing instructions with intake contradiction diffs.
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
Intelligence for your AI agents: what they need to know, at the moment they decide. NEXUS connects Claude Code, Claude, ChatGPT, Cursor and OpenClaw to one shared record of your decisions, rules and past incidents, so an agent doesn't repeat a costly mistake or undo what was already decided. What one agent learns, the others already know. Every item is graded (measured, reported or inferred), outdated facts are marked as superseded, and contradictions are flagged. Before an important action, agents can call antes_de_actuar to get the rules that apply. Remote server with OAuth. Free plan, no credit card: https://nexus.eblas.link
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.
Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
Cobrain is a hosted Markdown brain your AIs share. Connect Claude, ChatGPT, Claude Code, Codex or any MCP client once (remote MCP with OAuth, no API keys to paste) and they all read and write the same notes. Share one folder with a teammate, read-only or read-write, and their AI reads it too. Permissions are enforced in the database, the same for the web app and for AIs; writes are version-checked so two AIs can't silently overwrite each other. Plain .md, exportable, EU-hosted. Free plan available.
**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.
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.
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
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.
Persistent memory for AI agents. Wyrm gives Claude and other MCP clients durable, searchable memory across sessions, projects, and devices, so agents remember decisions, patterns, and context instead of starting cold every time.
AI second brain for people who coordinate several projects. Search and write to your daily notes, tasks and boards, calendar, meeting recaps, documents, clips and an Atlas of people, organizations and projects from Claude, ChatGPT or any MCP client. Free plan, OAuth sign-in.
