"ImageKit image optimization and delivery service" matching MCP servers:

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

A unified HTTP/HTTPS service that exposes Model Context Protocol (MCP) functionality over HTTP endpoints, allowing clients to list available tools and call them through a standardized API.

A bridge that converts HTTP APIs into MCP tools with dynamic toolkit loading, flexible authentication, and automatic documentation.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

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.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

MCP server for gRPC — service discovery via server reflection, method invocation, and type schema inspection for AI agents.

API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server lets AI agents work in that workspace under the permissions of the connected account.

An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.

A service that dynamically generates MCP tools from Swagger/OpenAPI documentation, allowing Claude Desktop to directly invoke REST APIs through natural language.

Provides a reference MCP server that implements every MCP feature so client, gateway, and runtime authors can test against a single endpoint, and publishes a service contract describing its capabilities.

A configurable MCP server that intelligently routes natural language queries to the appropriate microservice endpoint based on user-defined service configurations.

Enables validation of OpenAPI 2.0 and 3.0 specifications in JSON or YAML format using APIMatic's comprehensive API validation service through the Model Context Protocol.

An MCP image generation server based on the Flux Schnell model that provides API access for generating images from text prompts with customizable dimensions and seeds.

Enables Claude to interact with ServiceNow instances through comprehensive API integration. Supports incident management, service catalog operations, change requests, knowledge base management, user administration, and agile project management with multiple authentication methods.

A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.

Enables agents to discover and invoke operations from any OpenAPI service by managing deployments, authentication, and request building.

Dynamically creates MCP servers from web API configurations, enabling AI assistants to interact with any REST API, GraphQL endpoint, or web service.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.