"How to request a remote API using an OpenAPI document" matching MCP servers:

Converts any OpenAPI/Swagger spec into an MCP server, exposing REST API endpoints as tools for Claude.

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

Enables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.

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.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A stateless MCP server for composing, validating, auditing, and rendering consequential documents from a small semantic model.

Exposes an MCP server over HTTP that allows searching and executing OpenAPI operations from any OpenAPI spec URL, with session variable storage.

Enables AI agents to efficiently manage and update component documentation with precise partial updates, saving up to 75% tokens compared to full rewrites.

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 no-server MCP toolkit that organizes project wikis from Feishu documents, messages, and more, enabling AI clients to answer questions with cited evidence to prevent hallucinations.

An MCP server that exposes HTTP methods defined in an OpenAPI specification as tools, enabling interaction with APIs via the Model Context Protocol.

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.

Aggregates multiple OpenAPI specifications into a single searchable MCP server, enabling AI agents to query API endpoints across all services using natural language.

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

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

Provides access to microCMS documentation, enabling AI assistants to search and retrieve the latest document content.

Enables efficient exploration of OpenAPI specs via markdown, with progressive disclosure of endpoints, schemas, and batch operations to minimize AI context usage.

Enables inspecting local OpenAPI specification files by listing and retrieving spec details with filters and $ref resolution.

Enables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.