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This MCP server implementation provides integration with Datadog's API, enabling AI assistants to manage and retrieve incident information. Developed by winor30, it offers tools for listing and retrieving Datadog incidents, with plans for future expansion to cover more Datadog resources. Built using TypeScript and leveraging the Datadog API client, the server focuses on incident management capabilities. It is particularly useful for AI applications that need to monitor and respond to system incidents or integrate Datadog's observability data into their workflows.

MCP server: look up MIME content types from file extensions and vice versa.

Enables AI agents to perform privacy-respecting web searches through SearXNG, with support for multiple search engines, categories, and advanced filtering options.

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.

a Testing framework for MCP servers

Let agents list, schedule, and pull evidence packets for your org’s incident-response tabletop exercises (evidence of practice, never a compliance verdict).

Integrates Wordware deployed flows as tools usable within Claude conversations via the Model Context Protocol.

Personal daily briefing and productivity assistant.

Bridge Discord and Minecraft with a cross-platform hub for bots, plugins, mods, and full-stack development.

Enables AI assistants to monitor and analyze blockchain activity through Tenderly's infrastructure and direct EVM RPC calls. Provides comprehensive alert management, transaction simulation, and multi-chain querying capabilities for blockchain debugging and monitoring.

Provides real-world tools for weather data, stock market information, and internet search through the Model Context Protocol. Integrates with OpenWeatherMap, Stooq market data, and Google Custom Search APIs.

Provides comprehensive flight tracking capabilities using the OpenSky Network API, enabling real-time flight data, geographic searches, historical data, and airport operations through MCP tools.

Speculative decoding draft-model verification engine calculating acceptance probabilities

Git-native API contract testing and mock server engine with automated schema assertions (Bruno style)

Flatten nested JSON objects.

Rent GPUs, robots, drones, and construction gear on RIGShare; also onboards equipment owners.

A Model Context Protocol server that enables AI agents to interact with Azure DevOps wikis, providing capabilities for content search, page management, and hierarchical structure navigation.

MCP server for triaging broken apps built with Lovable, Base44, v0, Bolt and Replit. Endpoint: https://vibe-fixer.com/mcp

Crypto Indicators MCP Server provides AI trading agents with access to over 50 technical analysis indicators and trading strategies for cryptocurrency markets. Built on the Model Context Protocol, it fetches real-time OHLCV data from Binance (configurable to any CCXT-supported exchange) and calculates trend, momentum, volatility, and volume indicators. Each tool returns either raw indicator values or actionable trading signals (-1 for sell, 0 for hold, 1 for buy), enabling AI agents to analyze market conditions and develop quantitative trading strategies without implementing complex technical analysis algorithms themselves.