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"X++ Programming Language (Microsoft Dynamics AX)" matching MCP connectors:

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Matching Connector Tools:

  • Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.

  • 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.

  • Save vocabulary from any AI chat; see each word in every language you know; review it with FSRS.

  • 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.

  • 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

  • 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.

  • Search worklore stories and x-ray any skill or story capability tier (T0-T4) before you run it.

  • Log decisions with expectations, add evidence, and track metrics in Ledger.

  • A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.

  • Explore ideas in Prism fields, run studies, and read research findings.

  • Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.

  • Integrates Wolfram Language and Wolfram|Alpha accessing curated data and sophisticated algorithms.

  • aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.

  • Natural-language queries over a verified emissions knowledge graph, plus standards validation

  • Archivist AI is an AI-powered assistant for tabletop RPG campaigns. Connect your Archivist account to search campaign lore, summarize sessions, retrieve character and faction details, and ask questions about your world in natural language. Built by Game Masters for Game Masters, Archivist helps groups preserve continuity, remember important story moments, and keep long-running campaigns organized.

  • ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.

  • Agent orchestration, decisions, and organizational memory for MCP clients. Review pending decisions, scaffold initiative hierarchies, assign work to specialist agents, and render live OrgX widgets inline.

  • MCP server that gives AI agents access to your personal bookmark collection across X/Twitter, Reddit, and LinkedIn. Semantic search, topic clustering, and recent bookmarks. Turns years of curated saves into live context for Claude, Cursor, and other MCP-compatible tools.

  • Language coaching in Codex with durable per-account memory on en-ai.ru.

  • Persistent, outcome-grounded episodic memory for Claude. 14ms CPU retrieval, no GPU, no vector DB.