Enables users to draw GIS geometry on an interactive map and get clean, validated GeoJSON to hand off to other GIS MCP servers such as FEMA flood screening and USGS hydrography.
An MCP server that lets LLMs query USGS NHDPlus HR hydrography data—streams, rivers, lakes, stream gages, and watershed boundaries—via point or GeoJSON geometry intersection queries.
A Python MCP server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI, with command execution, suggestions, region lookup, and caller identity checks.
An MCP server for interacting with Reddit, enabling browsing, searching, content creation, and management with built-in safe mode and bot disclosure features.
An MCP server that lets LLM agents operate the IDnow Trust Platform sandbox to list verification flows, create sessions, check sessions, and get session details.
An MCP server that exposes the U.S. Energy Information Administration (EIA) Open Data API, enabling LLMs to browse and query energy data across 17 datasets with generic, composable tools.
Enables load testing and validation of an order API by generating synthetic orders, previewing them, and sending batches while enforcing guardrails like bounded counts and fixed seeds for replay.
An MCP server that wraps the U.S. Army Corps of Engineers (USACE) Institute for Water Resources (IWR) River Mile Marker ArcGIS Feature Service, allowing LLMs to locate river mile markers on navigable U.S. rivers and answer 'what river mile am I at?' questions.
An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.
A Model Context Protocol (MCP) server for Firebird databases intended for local use. It reads connection details from FlameRobin's fr_databases.conf so no extra configuration is needed — if you have FlameRobin set up with your Firebird databases, this server works out of the box.
MCP server for controlling Android devices via semantic actions with verification, enabling any MCP client to interact with phones through natural language and structured tools.
MCP server for the NIST National Vulnerability Database — lets AI assistants search CVEs by keyword, severity, CPE, CWE, KEV status, and date range via natural language.
A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.
An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.