Packages

MCP server enabling Claude and other LLMs to securely access MySQL databases. Features SQL injection prevention via prepared statements, query whitelisting/blacklisting, rate limiting, read-only mode by default, SSL/TLS support, connection pooling, multi-database mode, and granular write operation controls (INSERT/UPDATE/DELETE/DDL each independently toggleable).

Microsoft Teams MCP server enabling AI agents to interact with Microsoft Teams — reading and sending messages in channels and chats, listing teams and channels, managing team members, posting notifications, and integrating Teams communication capabilities into agent-driven enterprise communication, notification, and workflow automation.

MCP server providing PTY (pseudo-terminal) execution capabilities to AI agents. Enables agents to run interactive terminal commands via PTY — supporting programs that require a TTY, handling interactive prompts, and managing long-running terminal sessions. Written in Haskell.

Official MCP server from Partstable (partstable org) for IT hardware parts research. Enables AI agents to normalize part numbers, search hardware component listings, find substitutes and compatible alternatives, and compare IT hardware inventory data — streamlining hardware procurement and compatibility research workflows.

Shopify's Admin API provides full programmatic access to a Shopify store — managing products, orders, customers, inventory, discounts, and fulfillment. Available as both REST and GraphQL, it powers headless commerce builds and automated store management.

MCP server providing subscription pricing data for 50+ software services — enabling AI agents to look up and compare pricing plans across major SaaS and subscription products. Supports competitive pricing research, budget planning, and market intelligence workflows.

Official MCP server from TakoData (TakoData org) for Tako — a data visualization and querying platform. Enables AI agents to query real-time data and generate charts, graphs, and visualizations by integrating Tako's data engine. Agents can generate on-demand data visualizations without coding chart libraries directly.

The most popular Go testing toolkit. Provides assertion helpers (assert package), mock generation (mock package), and test suite support (suite package). assert.Equal(t, expected, actual) gives readable failure messages instead of Go's default verbose if expected != actual pattern. mock.Mock enables interface mocking without code generation. The de-facto standard testing addition for Go.

Utility library and MCP server by Google Apps Script expert tanaikech providing tools to integrate Google Workspace services (Sheets, Docs, Drive, Gmail) with MCP-based AI agents. Enables GAS-powered MCP servers to expose Google Workspace data to agents through standardized tool interfaces.

Ruby library for stubbing HTTP requests in tests — intercepts Net::HTTP, HTTParty, Faraday, RestClient, and other HTTP adapters to prevent real network calls and return controlled responses. WebMock: disables real HTTP connections by default in tests, stubs specific URLs with custom responses (stub_request(:post, 'https://api.openai.com/v1/chat/completions').to_return(body: '...')), verifies requests were made (have_requested(:get, /agent-api/)), and supports request body/header matching. Essential for testing agent services that call external APIs without making real API calls in unit/integration tests.

MCP server connecting to Garmin Connect to expose 96+ fitness and health data tools across activities, wellness, training, workouts, devices, gear, weight, challenges, nutrition, and user profile, covering 89% of the underlying python-garminconnect library.

Official MCP server from iFlytek (iflytek org) — one of China's leading AI companies, known for voice AI and language technology. Enables AI agents to interact with iFlytek's workflow platform, triggering and managing AI-powered workflows, integrating with iFlytek's language models and AI services through their agentic workflow system.

Full operating system for autonomous AI agents built in Rust, featuring 7 pre-built autonomous agents (Hands), 40 messaging channel adapters, 16 security layers, WASM sandboxing, and 140+ REST/WS/SSE API endpoints

The primary Python SDK for Amazon Web Services, providing a unified interface to 200+ AWS services including S3, EC2, Lambda, DynamoDB, SQS, and more. Agents use it to orchestrate cloud resources, read/write data, trigger serverless functions, and automate infrastructure.

Community MCP server providing access to the BoardGameGeek (BGG) API through MCP. Enables AI agents to retrieve board game information — game ratings, reviews, player counts, mechanics, categories, and community data from BGG's comprehensive board game database. Useful for game recommendation, collection management, and board game research agents.

MCP server that bridges AI assistants to Cheat Engine, enabling natural language interaction with program memory for reverse engineering, debugging, and analysis. Supports reading memory, following pointer chains, scanning for patterns, analyzing structures, identifying C++ object types via RTTI, and setting hardware breakpoints including Ring -1 DBVM tracing.

MCP server that wraps OpenAI's Codex (code generation) capabilities, enabling AI agents to call Codex for code generation, completion, and transformation tasks via the MCP protocol. Bridges the gap between MCP-based agent workflows and OpenAI's Codex code generation engine.

Multi-channel customer engagement platform enabling push notifications, email, SMS, and in-app messages via a unified API with advanced segmentation and A/B testing.

Operations MCP server providing system administration and DevOps capabilities to AI agents — executing shell commands, managing system processes, monitoring server resources, handling file operations, and integrating operational tasks into agent-driven infrastructure management workflows. Designed for system operators and DevOps engineers.

ROS2 Nav2 MCP server enabling AI agents to control ROS2 Navigation2 (Nav2) — the standard ROS2 navigation stack for mobile robots — sending navigation goals, monitoring navigation progress, managing costmaps and path planners, controlling recovery behaviors, and integrating AI-driven navigation planning into autonomous mobile robot workflows.