"A semantic web search for 'Exa'" matching MCP servers:

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

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 load, parse, and query OpenAPI/Swagger documentation from URLs with intelligent search across endpoints, schemas, and authentication methods. Provides 10 specialized tools for comprehensive API exploration including path details, operation lookups, and multi-criteria search capabilities.

Automated QA for .NET microservice backends and React frontends, enabling API contract testing, UI crawling, YAML flows, and run diffing against a stage environment.

Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.

A reusable MCP server for QA automation testing that enables running tests across web apps, APIs, CLI tools, and more directly from Claude Desktop.

Universal HTTP client tool for LLM agents. Enables Claude and other MCP-compatible agents to perform GET, POST, PUT, DELETE, and other HTTP requests to any URL, including localhost and internal network addresses.

The API layer for AI agents. World's biggest API index with 22,000+ APIs and growing. Agents discover and call APIs at runtime with semantic search, structured metadata, and 18 Direct Call APIs including AI providers.

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

A comprehensive HTTP client MCP server for security testing, API testing, and web automation that provides full-featured HTTP tools with detailed logging capabilities.

Enables AI assistants to manage API endpoints, environments, and testing workflows through the GASSAPI backend. Provides semantic documentation tools for endpoint cataloging and automated flow creation for backend-to-frontend development workflows.

Natural language API discovery MCP server. Search 700+ API capabilities across 163 current providers, get, exact endpoints, auth setup, and code snippets. Supports auto-discovery of new APIs.

Provides Model Context Protocol tools for interacting with eToro's public API endpoints, allowing users to fetch portfolios, look up instrument details, and search for instruments while handling CORS restrictions.

A standalone Model Context Protocol server that enables AI models to access the Australian Pharmaceutical Benefits Scheme (PBS) API data, including medicine listings, pricing, and availability information.

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.

Aggregates multiple third-party APIs into unified MCP tools, providing out-of-the-box access to 10 popular services including OpenWeather, Google Maps, GitHub, Notion, Spotify, and more. Enables users to interact with weather data, search places, manage repositories, create content, and access various web services through a single MCP server.

Automates generation of QA artifacts such as API tests, E2E tests, and documentation exports. It supports REST Assured, Cypress, and Excel/Word document generation.

Provides access to Ics Ap Apis API endpoints with authentication support, enabling API interactions through the MCP protocol.

Exposes SOAP-based web services as MCP servers by parsing WSDL files. Enables AI assistants to interact with legacy SOAP/WS-\* web services through the Model Context Protocol.

Enables AI assistants to interact with AccelByte Gaming Services APIs through semantic search, detailed API information retrieval, and authenticated API execution for game backend operations.