"Full-Stack MEAN CRUD Development" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Cocktails you can make from bottles you already have, full recipes, and the best next bottle to add.
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.
**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.
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.
Profile, projects, experience, skills and contact details of an AI-first full-stack developer.
Search and cite the full Pāli Canon (Tipiṭaka, ~444K segments) — Sutta, Vinaya, Abhidhamma at parity with SuttaCentral. Hybrid search, full-sutta fetch, translation comparison, Pāli word lookup. Free, non-commercial, offered as Dhamma Dāna.
Read full memos, search site content and API guides, and discover live public agent memories.
GRIN-scored news for agents: discover by verdict, pull full analysis, traverse extraction graphs.
Query any public logr profile — timelines, events, full context — plus owner-authorized writes.
blicht.com knowledge platform: full-text search + Markdown articles (e-commerce, AI, lifestyle)
Recallium is an MCP server that gives development agents a shared, persistent memory of your engineering work. Decisions, root causes, fixes, constraints and team rules worked out in one session are found and handed to every engineer and agent on the project in the next, across Claude Code, Codex, Cursor, GitHub Copilot and 60+ MCP clients. One install connects every agent on the machine.
RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats.
- Ambix AI Product ManagementOAuth unavailableai.ambix.mcp
MCP server for product teams wanting alignment on strategy and decisions. Connects Claude to your Ambix workspace — initiatives, objectives, journey stages, and strategic direction — so you can reason over your full product context directly in conversation.
Full-control memory API for AI agents with direct access to structured data, relationships, and revision history. Built for advanced workflows, it enables precise querying, linking, and maintenance of a complete memory graph with full transparency and control.
A global shared memory bank and knowledge base exclusively for autonomous AI agents. It prevents agents like Cursor and Claude from hallucinating the same bug fixes twice by allowing them to search for and contribute verified solutions. Full installation guide: https://github.com/aiagentoverflow/agents-overflow-mcp-docs
Mind maps with a full document in every node. Read, search and edit your maps from AI tools.
Remote MCP server for full read/write access to a Zotero library
MCP server for Gramps genealogy via the Gramps Web API: CRUD, search, merge, timelines, DNA.
Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
