"Information about MCP client software" matching MCP servers:

An MCP server that provides HTTP client capabilities with support for full HTTP methods, custom headers, query parameters, request bodies, and configurable timeouts.

A Model Context Protocol server that enables AI agents to interact with Twitter without direct API access, supporting tweet operations, user interactions, and Grok AI integration.

An MCP (Model-Controller-Processor) server for accessing League of Legends client data. This server provides a collection of tools that communicate with the League of Legends Live Client Data API to retrieve in-game data.

A powerful MCP server for making HTTP requests, GraphQL queries, and TCP/Telnet connections from AI assistants.

Enables interaction with Qonto's Business API for banking operations. Supports all API key-accessible endpoints for managing business banking transactions and account information.

Enables interaction with any REST API through token or login authentication, with automatic Swagger/OpenAPI documentation integration for endpoint discovery and comprehensive HTTP request support.

A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.

A Node.js server that enables LLMs to inspect GraphQL schemas and retrieve information about queries, mutations, and types via MCP.

A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.

Enables AI agents to dynamically discover and interact with APIs through Swagger/OpenAPI specifications and Postman collections using a strategic four-tool approach. It streamlines API integration by providing universal tools for endpoint discovery, detailed request information, and authenticated execution.

An MCP server for interacting with the HackathonWatch API, allowing users to access hackathon data and related information through natural language commands.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.

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 LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

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.

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Enables AI agents to connect to any GraphQL endpoint, introspect schemas, and execute queries or mutations through auto-generated tools.

Parses Swagger 2.0 and OpenAPI 3.x specifications, exposing API endpoints, schemas, and authentication through MCP tools with local caching to reduce token usage.

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.