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AI-powered Reddit marketing automation via Model Context Protocol, enabling smart search, audience analysis, engagement finding, and comment generation.

Enables querying relationships between plant species, small molecules, and mitochondrial Complex I inhibitors by bridging natural-product, biodiversity, and PubMed datasets. Allows LLMs to perform structured searches and reasoning over biological data to identify potential plant-derived mitochondrial inhibitors.

Exposes court-availability data as a read-only panel rendered in MCP hosts (Claude Desktop, VS Code, test host) via a UI resource.

Free reliability sidecar for AI agents: seven Agent Skills plus no-auth MCP tools for planning, checkpoints, deduplication, recovery, and evidence.

An MCP server that enables AI assistants to query and interact with SQLite databases through natural language. It includes built-in security guardrails such as PII redaction, SQL injection blocking, and query rate limiting.

MCP server for controlling USB-connected DSLR cameras (e.g., Canon EOS 6D) via natural language, with features like capture, exposure settings, and autonomous timelapse with feedback-based auto exposure.

WebSearch MCP Server provides AI assistants with web search capabilities through multiple search engines including Bing and WeChat, plus URL content extraction functionality. Developed by Howard Chan, it uses curl-cffi for browser impersonation and MarkItDown for converting web content to markdown format, supporting configurable parameters like country codes, languages, and browser user agents. The implementation includes specialized tools for opening WeChat article links with proper URL resolution, making it valuable for research tasks, content analysis, and accessing information from both general web search and Chinese social media platforms.

An intermediate agent server that enhances LLMs with weather data capabilities using the Model Context Protocol (MCP) framework, enabling retrieval of real-time weather information.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

Enables querying City of Asheville open geospatial data (parcels, zoning, etc.) through ArcGIS Feature Services. Supports searching datasets, querying layers with SQL-like filters, and retrieving layer schemas.

MCP server for college football statistics

MCP server for the Geomelon geographic API — stdio and remote HTTP transports

Enables property search, detail, and skip-trace using the RealEstateAPI.com service.

MCP server to attach PDF status reports to file columns on Monday.com items.

A TypeScript MCP server that provides comprehensive automation control over Keyboard Maestro, the popular macOS automation tool. Offers tools spanning macro CRUD operations, action and trigger management, variable manipulation, and log analysis for debugging failed automations. Uses AppleScript integration to communicate directly with Keyboard Maestro's scripting interface, enabling programmatic creation, modification, and execution of complex automation workflows.

Provides geospatial data intelligence tools for inspecting, querying, and converting geospatial data using DuckDB Spatial.

Provides create, read, update, and delete operations for the Where location data service (where-server). Connects to a where-server instance to manage location data entries. Published as an npm package under the @where-org scope.

This MCP server enables users to analyze YouTube videos by extracting transcripts and generating specialized content like summaries, chapter timestamps, and social media posts.

Provides access to Cincinnati open data via the Socrata SODA API, allowing users to query datasets using natural language or direct tool calls.

MCP Server: L1-aware grammar, style, translation & tone tools. 70 local rules, zero API keys needed. Powered by BeLikeNative.