"Pronote school management platform" matching MCP servers:

Enables read-only querying of eight campus services through independent local MCP adapters: mailbox search, reading and attachment download, Blackboard courses, academic-system terms, timetable and grades, library loans and navigation, teaching-office notices, the Nan7 market listings, course-review community ratings, and the campus data dashboard. Credentials and sessions remain on the user's own device, encrypted with Windows DPAPI, and nothing is submitted, registered, or booked on the user's behalf.

Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

Enables personalized Korean job search by providing independent MCP servers for Wanted, Saramin, and JobKorea job APIs, along with a resume-based agent skill for tailored job matching.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Enables access to Network School Luma calendar events through Claude Desktop. Allows users to view today's events, search upcoming events, and register for events directly with their contact information.

MCP server for the MLIT Data Platform that enables natural language search and retrieval of Japanese government infrastructure and transport data.

Enables AI agents to answer Power Platform governance questions — data policies, connectors, environments, Managed Environments, security roles, the CoE Starter Kit and ALM — using hybrid keyword-plus-semantic search over Microsoft's documentation, with a deep link to the exact section behind every answer. It runs locally without API keys, offers read-only search, section-reading and document-listing tools, and connects to Claude, VS Code and Copilot Studio.

A Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.

Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.

Enables AI assistants to retrieve, search, and compare procurement documents using hybrid retrieval and MCP integration.

Enables ingestion and full-text search of Windows application logs via MCP tools. Supports dual-backend indexing with Elasticsearch and SQLite for fast retrieval.

Enables natural language search and retrieval of data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform, including location-based queries, attribute filtering, and data visualization capabilities.

Enables deterministic aggregation, BM25 keyword search, and report generation over a large IT ticket-history dataset through MCP tools, prompts, and client-model sampling.

Enhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.

A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.

MCP server platform enabling agents to self-register and access geo MCP tools (read-only geo_entities) plus hello ping services via a public MCP endpoint.

Provides full-text search and context retrieval from university course materials (PDF, PPTX, DOCX) offline after indexing.

A comprehensive Model Context Protocol (MCP) server for product inventory management with PostgreSQL database backend, enabling natural language queries for product information across multiple AI platforms.