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

An MCP server that enables AI agents to manage Defined Networking / Managed Nebula infrastructure, supporting tasks like network topology design, host provisioning, and security auditing through natural language.

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

An MCP server that helps interact with and compare different GitHub Models, enabling listing, filtering, and comparing model responses.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

Free DEX aggregator API that returns executable swap calldata across 46 EVM chains. No API key required. Single GET request returns ready-to-sign transactions for any token pair.

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

Send WhatsApp messages from any MCP client — text, images and files, plus session management and contact checks. Authenticate by scanning a QR code: no Meta Business approval and no WhatsApp Business account required.

Enables document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.

A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.

55 Concordance-tested financial models with published specs; responses cite assumptions and sources.

A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.

Stdio MCP server for managing recommended.by lists from agents like OpenClaw, Codex, Claude Desktop, etc. It exposes tools to create, read, update, delete lists and items via the recommended.by REST API.

Provides comprehensive AI model metadata through MCP, enabling search and filtering of 100+ AI models by capabilities, pricing, context length, and provider specifications.

Exposes REST API endpoints defined in an OpenAPI Specification as MCP tools, allowing AI models to call them via the ModelContext Protocol.

Allows MCP clients to create, validate, preview, and submit product showcases on Build with AK, with support for local stdio and remote HTTP transports.

Enables access to Amazon product data through the Canopy API, providing tools for product info, variants, stock, sales, reviews, search, autocomplete, categories, sellers, authors, and deals.