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Ashby MCP Pack — wraps the Ashby ATS API

Jupyter Earth MCP Server provides a bridge between AI assistants and Jupyter notebooks for Earth science data analysis. Developed by Datalayer, this Python-based server enables downloading NASA Earth Data granules directly into Jupyter notebooks through a simple interface. The implementation leverages jupyter-kernel-client and jupyter-nbmodel-client to programmatically create and execute code cells in notebooks, allowing for parameterized data retrieval with options for temporal ranges and geographic bounding boxes. It's particularly useful for Earth scientists and researchers who need to automate the acquisition of satellite data and integrate it seamlessly into their Jupyter-based analysis workflows.

Multi-vector heuristic prompt injection and jailbreak detector analyzing system overrides, delimiter breakouts, and base64 payload evasion.

Conflict-free Replicated Data Type (CRDT) Last-Write-Wins element set with Lamport timestamps and deterministic two-way state merge.

Social Intelligence — AI-powered social media research across Twitter, Instagram, and Reddit. 1.5B+ posts indexed.

Allows AI agents to control web browser sessions via Selenium WebDriver, enabling web automation tasks like scraping, testing, and form filling through the Model Context Protocol.

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.