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Interact with Notion workspaces using official API - manage pages, databases, blocks, users, and comments.

A MCP tool that can provide LLM randomized tarot draws and sufficient description.

Manage an Instagram account.

Control an Icom IC-7610 transceiver over USB/LAN.

MCP server providing monkey data, journeys, and location services for various monkey species.

The WordPress MCP server enables AI assistants to interact with WordPress sites through a standardized interface. It handles authentication and provides a secure way to discover and interact with WordPress REST API endpoints. The server loads site configurations from a JSON file, establishes connections with Basic Auth, and exposes two main tools: wp_discover_endpoints for mapping available API endpoints on a WordPress site, and wp_call_endpoint for executing specific REST API requests with parameters. This implementation is particularly valuable for users who need to manage WordPress content or retrieve site data directly through AI assistants without manual API configuration.

MCP server for live Turkey data — gold & silver prices, official TCMB exchange rates, fuel pump prices, prayer times and the Kandilli earthquake feed.

Spatially-routed LLM inference at $0.004/req.

MCP server for AI image generation with automatic USDC payments on Base mainnet. Generate, remove backgrounds, and upscale images via simple tool calls.

Multi-agent creative studio for copy & marketing campaign asset generation

Free hosted MCP server for live crypto futures data: open interest, funding rates, long/short, liquidations, volume across 25+ exchanges. No API key.

MCP MySQL Server provides a standardized interface for AI models to interact with MySQL databases through the Model Context Protocol. Built by enemyrr, it offers tools for executing queries, managing database schemas, and retrieving table information with comprehensive security features like prepared statements to prevent SQL injection. The server supports multiple connection methods (URL, workspace path, or direct credentials), handles errors gracefully, and can be deployed via npm, manual installation, or Docker. Particularly valuable for AI workflows requiring database operations without leaving the conversation context, it enables models to perform complex data retrieval and manipulation tasks directly within their interactions.

Provides text-to-speech functionality using OpenAI's TTS API, enabling text-to-speech conversion, voice listing, and model listing.

Provides direct access to a running Common Lisp image for evaluating arbitrary Lisp expressions, returning multiple values, output streams, and detailed error backtraces for interactive development and debugging.

Retail commercial catchment area & foot-traffic profiler (Carto / Atlas)

MCP-Qdrant Server provides a vector database integration for AI assistants, combining a Qdrant vector database with a specialized server that enables knowledge storage and retrieval. The implementation uses Docker containers to run both the Qdrant database and the MCP server, with the server utilizing the sentence-transformers embedding model to convert natural language into vector representations. It exposes two primary tools: one for storing code snippets with natural language descriptions, and another for searching the knowledge base using semantic queries. This setup is particularly useful for AI assistants that need to maintain persistent memory of code examples and technical knowledge across conversations.

GPT-specific pattern detection with model fingerprinting and version identification.

Infrastructure and location risk intelligence for any address or coordinate, delivered via the Model Context Protocol. This MCP server orchestrates **15 data sources in parallel** — FEMA, USGS, NOAA, GDACS, EPA, OpenAQ, UK Police, and more — to produce structured risk scores for underwriters, real estate investors, and site selection teams.

This MCP server enables users to search for scientific papers on arXiv and retrieve detailed metadata for specific papers. It provides tools to perform search queries and fetch in-depth information using paper IDs.