"Finding LinkedIn users by educational background" matching MCP servers:

Transforms documentation repositories into interactive educational content and provides standardized access to AI-generated structured courses through MCP protocol. Generates multi-complexity learning paths from docs and enables AI tutoring applications to interact with course content.

A CLI chat application that enables interactive AI conversations with document retrieval and command-based prompts through the Google Gemini API, integrating MCP tooling for extensible server interactions.

Provides local, offline searchable access to Roku and BrightScript development documentation via MCP tools and resources, including full-text search, sectioned reading of large docs, and background syncing from the upstream repo.

MCP server for semantic search across llms.txt documentation sources, with hybrid two-stage retrieval and automatic background refresh.

An MCP server designed for developers to build and manage Minestom-based Minecraft servers by inspecting project environments, build configurations, and API documentation. It enables users to plan features, review design patterns, and discover libraries within the Minestom ecosystem.

Enables searching and reading OCI documentation using the Oracle Help Center Search API. Provides tools for finding relevant documentation URLs and reading page content.

Enables investigating issues and finding answers on a NodeBB forum by searching its history, extracting existing answers, and identifying unanswered questions, with optional plugin integrations for sharper results.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Provides offline search and retrieval of Magento 2 GraphQL API documentation with 8 specialized tools for finding queries, mutations, types, tutorials, and code examples across 350+ locally indexed markdown files.

Enhances developer tasks by retrieving relevant context from project documentation via a backend API. It enables users to generate enriched task descriptions and prompts by automatically integrating specific technical details from their project documents.

Enables managing remote hosts from ~/.ssh/config over OpenSSH, including availability checks, command execution with sudo and timeouts, background jobs, SSH config and known_hosts management, and llms.txt-based documentation retrieval.

A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.

Enables AI assistants to access and search RAP2 API documentation, allowing users to query interface details, search APIs by keywords, and retrieve repository interfaces through natural language.

Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.

Enables direct integration with YApi API documentation platform in MCP-compatible editors like Cursor, allowing users to query API details, list interfaces, and search endpoints by simply pasting YApi URLs.

Helps users easily create new MCP servers by providing documentation, templates, and tools to generate complete server files and configuration.

Provides AI assistants with accurate Flyte V2 knowledge, patterns, and plugin information to help developers write correct Flyte code. It enables tasks like learning the V2 API, finding examples, selecting plugins, and migrating V1 code to V2.

MCP server for searching and querying Aalto SciComp documentation (Triton HPC guides). Provides tools for finding pages, reading docs, and searching content, usable by any MCP client without an LLM API key.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables AI assistants to interact with Dev Proxy for creating configurations, finding documentation, and discovering best practices via the MCP standard.