"Querying Elasticsearch (ES)" matching MCP servers:

Optimizes REST API calls for AI agents by returning compact schemas instead of full responses, allowing agents to fetch only needed fields via jq masks, reducing token consumption by up to 50x.

Enables interaction with Google Ads through the Google Ads API using GCloud authentication. Supports GAQL query execution, performance data retrieval, account management, and resource discovery with pagination and multiple output formats.

Enables querying sleep, readiness, and resilience data from the Oura API via the Model Context Protocol (MCP), allowing natural language interaction and seamless integration with tools like Claude.

An MCP server for the YAPI interface management platform that enables users to manage projects, categories, and API interfaces. It supports querying project details, listing interfaces, and creating or modifying API documentation through natural language.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

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

A Model Context Protocol server that enables interaction with Chop's Setup system, providing an interface to retrieve setup information via a REST API.

Enables AI assistants to interact with the Nimble REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Lets an AI assistant run locally over stdio to inspect and test the Klap Core API — looking up charges and timelines, listing webhooks and deliveries, checking accepted token/network pairs, querying metrics, and, in test mode, creating charges, re-checking them on-chain, retrying deliveries and driving sandbox payments. Live environments are read-only unless writes are explicitly opted into, and money-moving or endpoint-management operations are never exposed.

This local stdio MCP server enables AI clients to search, read, and safely write Omeka S REST API resources such as items, media, item sets, site pages and blocks, with value annotations and read-back verification of writes.

Automatically converts any OpenAPI specification or Postman Collection into an MCP server, enabling AI assistants like Claude to directly interact with REST APIs without writing any code.

Provides unified ID handle resolution and querying functionality through the ID Factory API, supporting single and batch ID parsing, component analysis, and detailed metadata retrieval including site information, attribution, and permissions.

An MCP server that integrates EVE Online's ESI API with AI assistants to enable natural language interaction with character data, market information, and assets. It provides 22 tools for managing skills, wallet balances, ship fittings, and more directly through AI-powered clients.

Transform REST APIs into intelligent, chat-driven MCP servers with zero code changes. Simply point it at your Swagger/OpenAPI specification to get natural language querying capabilities powered by AI.

Enables interaction with e-commerce storefronts through a standardized API. Provides access to product catalogs, inventory management, and customer operations for online retail platforms.

An MCP server for conversational FHIR testing that integrates with the Touchstone platform. It enables users to launch test executions, monitor status, and retrieve detailed results through natural language commands.

Enables querying and managing the JSONPlaceholder API (posts, users, comments) through natural language via the Model Context Protocol.

Converts REST APIs into MCP tools using Gradio, demonstrated with a local IBM Granite model via Ollama. Enables LLM clients to interact with any REST API endpoint through the MCP protocol.

MCP server that exposes WebSocket session management as tools, allowing AI agents to open persistent connections, send typed frames, drain buffered messages, and monitor per-frame Shannon entropy to detect schema divergence.

Read-only MCP tools for querying APISIX routes, upstreams, services, and plugins across environments, without giving direct access to the admin API.