"Using a search API to retrieve ready-made LLM training data from a single query argument" matching MCP servers:

A demo MCP server for training purposes, providing mocked tools for exchange rates, mortgage calculations, and branch information.

A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

MCP server for tracking user course progress, providing tools to retrieve and save course and stage progress for authenticated users with data persisted in SQL Server.

MCP server exposing NTNU course data (search, schedules, grades, semesters) as tools for LLM agents.

Enables learning and integration testing of the Model Context Protocol by evolving from a minimal server toward production-grade tools, resources, prompts, and agent interoperability.

A local MCP server that exposes Canvas LMS courses, assignments, grading, discussions, modules, pages, files, messaging, and peer reviews to an AI assistant through about 100 Markdown-returning tools, with preview-then-confirm behavior for any write operations.

Enables natural-language queries about US K-12 public schools, districts, per-pupil funding and spending, and child poverty estimates from keyless federal data.

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

Provides structured CPR training resources including lessons, demonstration videos, and reflective questions through an MCP interface. Enables AI assistants to deliver trusted cardiopulmonary resuscitation training content on demand.

An MCP server for Canvas LMS that provides 15 curated tools for everyday student work and a gateway to reach every endpoint your Canvas instance exposes.

MCP server that wraps UDIR's open registries for Norwegian schools (NSR) and kindergartens (NBR), enabling search by municipality and retrieval of full details including coordinates and enrollment.

Enables AI agents to access and interact with the Sefaria database of Jewish texts, including retrieval, search, and related content.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.

Provides MCP tools to fetch and filter schedules for groups, teachers, and rooms from VSUET's timetable site, with support for JSON or text output.

Enables searching across UMass Lowell domain for people, website content, places, news, and parsing URLs into markdown.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools compatible with OpenAI Deep Research and ChatGPT connectors.

Enables users to query information about LPDP scholarship financial disbursement using RAG with Pinecone vector search and Gemini 2.0 Flash, answering questions about funding components, deadlines, living allowances, and required documents.

Enables accurate Quranic verse search through natural language queries, returning exact text with no hallucinations.

Provides LLM assistants with course search, prerequisite lookup, instructor information, and prerequisite graph tools backed by a SQLite database, enabling AI-powered academic advising.

An educational MCP server example built with FastMCP that demonstrates how to expose tools, resources, and prompts to AI clients. Provides a learning foundation for building MCP servers with Python and integrating them with AI applications like IDEs and chatbots.