"Agentic RAG: Understanding or Exploring Its Meaning and Applications" matching MCP servers:

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

Enables natural-language chat-driven API testing, letting users upload API specs, run deterministic pytest checks against live targets, inspect results, create defects, and view failure trends.

This MCP server enables intelligent API testing automation by combining RAG knowledge retrieval with tool execution capabilities. It allows QA engineers to perform natural language-driven API testing with contextual knowledge support.

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

Validates OpenAPI specs from files, inline content, or URLs, and generates prompts for agent developers based on the API analysis.

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.

Enables turning any docs URL (OpenAPI, llms.txt, or HTML) into lean, callable MCP tools with add/list/call operations, plus timeout and truncation guards.

Provides OpenAPI validation and analysis tools to assist developers in building Model Context Protocol servers. It generates developer context and specific agent prompts based on API specifications to streamline the creation of agentic workflows.

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.

Enables agents to price and analyze interest-rate, credit, equity and inflation trades by building validated requests to a QuantLib-based pricing engine and returning its numbers alongside the exact request sent. It also exposes curve construction from presets or pasted market data, risk analytics via finite differences, and reconciliation tools, while requiring user-supplied market data.

Discover and compare L402 and x402 paid API services from satring.com. Search, filter, and rank services by price, rating, or composite score across the best curated Lightning and USDC API directory.

Discovers, inspects, and executes requests against OpenAPI or Swagger APIs directly from documentation URLs or specification files. It enables users to trace parameter usage across an API and perform authenticated HTTP requests through a structured toolset.

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.

An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently.

GraphQL MCP Server that acts as a bridge allowing MCP clients (like Cursor or Claude Desktop) to interact with target GraphQL APIs through standard tools for schema introspection and operation execution.

MCP server that provides tools for exploring and testing APIs through Swagger/OpenAPI documentation.