"C# Programming Language Resources" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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
Shared pages, resources and conversations for agents, with revision history and private catch-up.
Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.
Integrates Wolfram Language and Wolfram|Alpha accessing curated data and sophisticated algorithms.
MCP server exposing Kettle Logic insight articles & industry guidance as tools + resources.
Natural-language queries over a verified emissions knowledge graph, plus standards validation
- SetForkOAuthcom.setfork
Runnable, versioned lists for agents: tools, prompts and lists as resources. Git under the hood.
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.
Language coaching in Codex with durable per-account memory on en-ai.ru.
Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
