"Managing the DM database" matching MCP servers:

Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.

Enables AI agents to create, run, and manage HTTP requests using the Invoker API client's .ivk format. It provides tools for scanning collections, executing requests, managing environments, and building documentation sites.

An MCP server for interacting with Treasure Data API, allowing users to retrieve database information and check server status through natural language queries.

A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.

Exposes YApi's API management capabilities to MCP clients, enabling operations like listing projects, categories, searching APIs, and managing API details.

Enables AI assistants to help developers build on the monday.com GraphQL API by validating queries, explaining errors, providing column value formats, introspecting the live schema, executing queries, and scaffolding boilerplate code.

MCP server that wraps the Tekweld ecommerce test API, providing tools to browse the mega menu and make generic API calls.

MCP server for managing Apidog test cases, scenarios, suites, and test data, providing full read/write access to Apidog's test management features.

A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.

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.

Local-first backend developer workspace exposing API debugging, SSH, database, workspace, and diagnostics tools to AI agents through a local MCP server

Exposes the Hookbase webhook relay API as tools for AI assistants to manage sources, destinations, routes, and events through natural language. It enables monitoring webhook success rates, replaying failed deliveries, and managing localhost tunnels for development.

Connects Claude with Spotify, allowing users to control playback, search for music, get track/artist information, and manage the queue via the Spotify API.

Enables MCP clients to manage YApi projects and interfaces, including searching and creating APIs, editing mock response bodies and advanced mock scripts, managing mock expectations, and testing mock URLs.

Enables AI assistants to manage Xano databases through the Model Context Protocol, allowing users to create, modify, and delete tables, edit schemas, and extract API documentation.

Enables AI agents to discover Robot Framework keywords, execute test steps live against web, mobile, API, database, or desktop targets, and generate clean .robot test suites from plain-English instructions.

Enables AI assistants to interact with TestRail test management systems through comprehensive API integration. Supports retrieving and updating test cases, projects, suites, runs, and results, plus adding attachments and managing test data through natural language commands.

A server that implements the Model Context Protocol (MCP) standard, enabling LLMs like Claude to interact with selected Postman API requests through generated JavaScript tools.

🚀 Active Fork of executeautomation/mcp-playwright This repository is an actively maintained continuation of the original MCP Playwright server: >👉 https://github.com/executeautomation/mcp-playwright A Model Context Protocol server that provides browser automation capabilities using Playwright.

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