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

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Enables AI assistants to query API documentation from Eolink Apikit instances via the Eolink Open API, supporting listing projects, groups, searching APIs by keyword/path, and retrieving detailed API definitions.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

Optimizes REST API calls for AI agents by returning compact schemas instead of full responses, allowing agents to fetch only needed fields via jq masks, reducing token consumption by up to 50x.

Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.

Provides comprehensive documentation for 377 Fortnox API endpoints and 81 resource categories directly from the official OpenAPI specification. It enables users to search, browse, and explore technical endpoint details and data schemas within AI assistants without requiring authentication.

An MCP server for interacting with Treasure Data API, allowing users to retrieve database information and check server status through natural language queries.

Enables natural language interaction with the XMPie uStore BackOffice REST API, providing tools to list, search, describe, and execute API endpoints with server-side authentication, read-only by default.

A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.

An MCP server that provides tools to interact with the JSONPlaceholder fake REST API for testing and prototyping, supporting CRUD operations on posts, comments, todos, and users.

CLIRank - API discovery for AI agents. APIs scored on CLI relevance: auth method, JSON responses, headless operation, pricing transparency. Search by capability, compare alternatives, read agent-contributed docs. 6 MCP tools for discovery, comparison, and documentation. Agents contribute observations back - crowdsourced API docs by machines, for machines.

Enables AI assistants to help developers build on the monday.com GraphQL API by validating queries, explaining errors, providing column value formats, introspecting the live schema, executing queries, and scaffolding boilerplate code.

Enables AI assistants to automatically manage Apifox API documentation by importing OpenAPI/Swagger specifications and exporting existing API structures. Supports batch operations, intelligent deprecation marking, and smart scope detection for partial module imports.

Enables searching YApi interfaces by keyword and retrieving detailed interface schemas, including request/response, for project-level tokens.

An MCP server that indexes the public-apis catalogue, allowing LLMs to search and filter over 1,400 public APIs by category, authentication type, and technical requirements. It facilitates precise API discovery for developers by providing tools to query specific features like HTTPS support and CORS compatibility.

Precisely filter and fetch API documentation from Apifox or any OpenAPI URL, reducing context bloat by fetching only needed endpoints.

Enables agents to verify real-world assertions like content being posted or PRs merged by fetching live evidence from URLs and GitHub, returning a verified boolean plus raw evidence.

Integrates Bruno CLI for API testing, enabling users to run API requests and collections, manage environments, generate test reports (JSON/JUnit/HTML), and validate collection structures through natural language commands.

A clone-and-own MCP server that exposes OpenAPI/Huma contract intelligence to AI agents by turning API specifications into deterministic endpoint metadata, schemas, validation facts, and TypeScript declarations.

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