"Understanding File Systems and Their Functions" matching MCP servers:

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

Enables LLMs to discover and use generated REST API services as Model Context Protocol tools and resources, supporting CRUD actions and read-only data access without custom glue code.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

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.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

A Model Context Protocol server that enables AI assistants like Claude to manage song requests, monitor queues, and interact with streaming platforms' song request systems.

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

Lets AI assistants inspect test run results, AI QA reports, and findings with their full evidence, and, when asked, start runs, re-run only failed tests, import API specs, or scan a website. Read-only tools are free, while work-starting tools consume the workspace's allowance and report usage limits.

Enables AI assistants to interact with TestRail test management systems through comprehensive API integration. Supports retrieving and updating test cases, projects, suites, runs, and results, plus adding attachments and managing test data through natural language commands.

Integrates XAPIHub API services with the Cursor IDE to enable user authentication, real-time data fetching, and connection diagnostics. It allows developers to interact with their XAPIHub organization and manage user details directly through natural language commands.

A Python-based Model Context Protocol server that integrates with Claude Desktop, allowing users to connect to Hubble API services by configuring the server with their Hubble API key.

A comprehensive HTTP/HTTPS tool server using curl, supporting various authentication methods, file uploads, downloads, and custom curl commands.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

MCP Portico is an MCP server that turns OpenAPI descriptions or inspected backend source code into policy-controlled MCP connections, exposing multiple backend systems with tenant isolation and credential security.

This MCP server is a zero-config CLI tool that lets developers tap into any stdio-based MCP server from their terminal, enabling them to list tools/resources/prompts, call tools with JSON arguments, and health-check servers without requiring a full AI client or browser setup.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.