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An MCP server that enables AI agents to interact with SQLite databases by querying schemas, executing SQL, and inspecting table metadata. It supports safe database access through configurable read-only modes, query timeouts, and dry-run execution plans.

Official Python SDK for Trends API (pip install trendsapi): Google Trends, TikTok, YouTube, Amazon and Reddit trend data in Python, with async support and pandas DataFrames.

The WhatsApp MCP server enables AI assistants to send WhatsApp messages through Twilio's API. Built with FastMCP, this implementation loads Twilio credentials from environment variables, establishes a secure connection to the Twilio service, and exposes a single tool for sending formatted WhatsApp messages to specified recipients. The server handles proper E.164 number formatting, provides detailed error reporting, and can be called either through a standalone script or integrated into larger applications. It's particularly valuable for automated notification systems, customer service workflows, and any scenario where AI assistants need to communicate with users via WhatsApp without switching contexts.

Automatically plays Subway Surfers gameplay in the background during coding sessions to provide continuous dopamine stimulation. Activates when users start coding conversations and stops when finished, requiring zero manual intervention.

Xanther Context Engine MCP Server — Give your coding agent deep codebase understanding

A Model Context Protocol (MCP) server that provides comprehensive access to DefectDojo vulnerability management platform.

MCP server that enables AI agents to automatically pay for and access paywalled content via the x402 payment protocol.

MCP server that acts as a thin proxy over GitLab REST API v4, enabling users to list merge requests, view diffs, and leave inline comments without leaving their MCP client.

Provides safe, typed access to Amateur Radio logging data with ADIF validation, parsing, spec search, and geospatial utilities for Maidenhead locators.

A zero-trust security guardrail for AI agents that scans external endpoints and returns ALLOW/WARN/BLOCK decisions with detailed findings.

Minimal MCP Server for Notion, using FastMCP

Mint tamper-evident receipts for AI agent actions. The notary layer for agent-to-agent transactions.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

MCP server that gives AI assistants full access to Kubernetes clusters and Helm, exposing 73 tools for managing pods, deployments, services, configs, secrets, logs, exec, port-forwarding, Helm lifecycle, and more.

MCP server that enables AI assistants to look up and analyze GitHub repositories, including stars, forks, description, open issues, and README content.

Enables users to analyze, query, and modernize Microsoft SQL Server databases through natural language, supporting multi-database connections, schema discovery, performance analysis, and legacy system migration planning.

DataLeads API product - see README

MCP server that lets MCP clients inspect, create, update, and deploy ChatGPT Sites through a local Codex installation.

This MCP server, developed by Phialsbasement, provides a comprehensive interface for interacting with the GitHub API. Built using TypeScript and the Model Context Protocol SDK, it offers a wide range of tools for repository management, file operations, issue tracking, and code search. The implementation focuses on simplifying complex GitHub workflows, including automatic branch creation and batch operations. It's particularly useful for developers and teams who want to integrate GitHub operations into their AI-assisted workflows, enabling use cases such as automated code reviews, project management, and repository maintenance without directly navigating GitHub's web interface.

A minimal learning-focused MCP server that demonstrates core primitives like tools and resources through simple greeting functions. It provides a foundational example for connecting AI models to external data using both Streamable HTTP and stdio transports.