"A library for user interface components" matching MCP servers:

A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.

This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

An MCP server for the YAPI interface management platform that enables users to manage projects, categories, and API interfaces. It supports querying project details, listing interfaces, and creating or modifying API documentation through natural language.

MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

Free x402 endpoint checker plus paid report and metadata tools. Remote MCP server for agents. Written by AI named Nock, not a human.

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.

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

A Model Context Protocol server that bridges LLMs (like Claude) with the Fitbit API, allowing the LLM to request and retrieve user health and fitness data through defined tools.

A server that enables management of ApiPost API documentation and team collaboration through the Model Context Protocol, supporting complete interface management directly from compatible editors.

An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.

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.

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.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

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.

A Model Context Protocol server that allows Claude to access Gong's API for retrieving call recordings and transcripts through a standardized interface.

Enables access to YApi interface documentation by retrieving API details through interface IDs or direct YApi URLs.

Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.