"Using an API defined by YANG models with MCP" matching MCP servers:

MCP server for API discovery from .mind spec files, enabling AI assistants to list, inspect, and call APIs defined in OpenAPI specs.

MCP server that exposes structured World of Warcraft API data (functions, deprecated replacements, enums, events, widget methods) to AI agents, enabling querying and exploration of WoW API without wiki parsing.

An MCP server that enables AI agents to explore, search, and query API definitions from OpenAPI/Swagger JSON files.

An MCP server that automatically crawls, indexes, and serves API reference documentation for LLMs, enabling to search and retrieve endpoint details.

An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.

An MCP server that crawls API documentation websites and exposes their content to AI models, enabling them to search, browse, and reference API specifications.

MCP server providing accurate Unity API documentation to prevent AI agents from hallucinating signatures, namespaces, and deprecated usage.

MCP server for angr binary analysis API workflow retrieval. Extracts real API usage patterns from angr's source code and angr-doc examples, then indexes them with semantic search so LLMs can query correct API call sequences.

A Model Context Protocol server that fetches detailed API documentation from a local platform using a document ID. It enables language models to retrieve specific endpoint specifications to assist with tasks like code generation and API integration.

Enables exploring a Salesforce org's REST and Apex REST APIs by generating an OpenAPI catalog, searching sObjects and operations, hydrating field schemas, and exporting OpenAPI documents.

Enables read-only exploration of YApi projects, categories, and interface docs, and deterministic TypeScript/JavaScript API request function and type generation through a preview-then-apply workflow.

An MCP Server that enables interaction with the Obono RKSV API, automatically generated using AG2's MCP builder to provide a standardized way to access the functionality defined in the OpenAPI specification.

An MCP server that provides comprehensive xAI/Grok API documentation, allowing AI assistants to search bundled guides, fetch live documentation, and browse API endpoints or model specifications.

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

This MCP server enables interactions with the PDF Generator API for creating, converting, and managing PDF documents using natural language commands.

Serves the Pancake API documentation to AI assistants, enabling them to search endpoints, retrieve full API contracts, webhook payloads, and guides without live API access.

Exposes OpenAPI/Swagger API documentation as MCP tools, enabling AI agents to search, inspect, and call API endpoints through natural language.

Provides the real exported API surface and type signatures of any npm package, extracted from its published TypeScript declarations, enabling AI coding agents to use functions accurately and avoid inventing nonexistent APIs.

Semantic search over IMAGIN.studio API documentation — CDN configuration, integration guides, and data point references.

Enables natural language search of ANSA Python API documentation, allowing AI to find relevant functions, signatures, and code examples for writing ANSA scripts.