"A server for exploring and analyzing large OpenAPI schemas efficiently" matching MCP servers:

Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.

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.

A stdio-based MCP server for fast, bounded search and navigation of large code repositories using ripgrep, with tools for project-wide search, symbol lookup, file listing, and code reading.

Enables downloading real binary files from Egnyte and uploading large files with chunked support, complementing the official Egnyte MCP connector.

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.

A generic MCP server that dynamically converts OpenAPI-defined REST APIs into tools for LLMs like Claude. It supports multiple authentication methods and transport protocols, enabling seamless interaction with any OpenAPI-compliant API.

Provides a ready-to-run MCP server and Python SDK for securely interacting with Openapi.com APIs, enabling businesses to retrieve official documents and data through natural language.

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.

A server that enables Large Language Models to discover and interact with REST APIs defined by OpenAPI specifications through the Model Context Protocol.

This tool creates a Model Context Protocol (MCP) server that acts as a proxy for any API that has an OpenAPI v3.1 specification. This allows you to use Claude Desktop to easily interact with both local and remote server APIs.

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 LLMs to explore and query OpenAPI specifications, allowing natural language interaction with API endpoints, parameters, request bodies, and response schemas from any OpenAPI 3.x spec.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

Turn any OpenAPI/Swagger spec into MCP tools. Zero config, zero code. Supports Swagger 2.0, OpenAPI 3.x, Bearer/API-key/OAuth2 auth, flat parameter schemas for better LLM accuracy, and smart response truncation.

Dynamically creates MCP tools and resources from OpenAPI specifications, with a React admin panel for managing configurations, monitoring, and invoking resources.

Enables agents to query real-time OpenAPI documentation of backend services, providing tools to list services, endpoints, and schemas via MCP.

Dynamically exposes any OpenAPI/Swagger API as tools for AI assistants, automatically generating MCP tools from OpenAPI specs with authentication support.

MCP server for exploring and integrating Toss Securities Open API, providing tools to browse endpoints, schemas, and generate code samples.

A template for building MCP servers with a built-in paywall gate that offers free local execution and premium server-side execution via Stripe and x402 payment lanes.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.