Packages

Official Neon MCP server enabling AI agents to interact with Neon's serverless Postgres platform — creating and managing databases, running SQL queries, managing branches for dev/test workflows, handling connection pooling, and leveraging Neon's instant database branching for safe schema migrations.

A self-contained, serverless, zero-configuration SQL database engine embedded directly into applications. The database is a single cross-platform file. Available in Python's standard library (sqlite3 module), and via better-sqlite3 for Node.js. The most widely deployed database engine in the world, found in every browser, OS, and mobile device.

Official Algolia MCP server enabling AI agents to interact with Algolia's search platform — querying indexes, updating records, managing synonyms and rules, and analyzing search analytics.

Developer-first authentication and user management platform with prebuilt UI components, a REST API, and an MCP server for managing users, sessions, organizations, and auth flows in modern web apps.

Official Tavily MCP server providing AI agents with an AI-optimized search API — returning structured, LLM-ready search results with source ranking, content extraction, and optional advanced research mode.

Open-source, typo-tolerant full-text search engine written in Rust with an official MCP server, offering instant search results, faceting, filtering, and hybrid semantic+keyword search.

Anthropic's official reference MCP server for fetching web pages and converting them to Markdown. Gives agents the ability to read any URL and get clean, LLM-friendly content.

OpenAI's official Python SDK for building multi-agent systems — provides agents, tools, handoffs, tracing, and native MCP integration with a minimal, production-ready API.

Captures, groups, and surfaces application errors and performance traces across 90+ platforms so agents can query error trends, triage issues, and trigger alerts.

Official Groq MCP server enabling AI agents to use Groq's ultra-fast LLM inference API — running completions, chat, and structured outputs with Llama, Mixtral, and other open models at industry-leading speeds for latency-sensitive agent workflows.

Official Clerk MCP server (part of Clerk's agent toolkit) enabling AI agents to manage Clerk user data — creating, reading, updating users, managing sessions, checking permissions, and handling organization memberships.

Python framework for building MCP (Model Context Protocol) servers quickly — the FastAPI equivalent for MCP, with decorators, automatic schema generation, and multi-transport support.

Anthropic's official reference MCP server for Git repository operations. Gives agents the ability to read git history, diffs, branches, and file contents directly from local repositories.

Serverless PostgreSQL with database branching, autoscaling to zero, and instant provisioning for development and production workloads.

Provides secure, long-lived cloud sandbox environments for AI agents to safely execute arbitrary code, run processes, and interact with filesystems in isolated containers.

Official Shopify Dev MCP server enabling AI agents to query Shopify's developer documentation, API references, CLI commands, and developer resources — providing context for agents building Shopify apps, themes, and integrations.

Official Elasticsearch MCP server enabling AI agents to interact with Elasticsearch clusters — executing search queries, managing indices, performing aggregations, accessing Kibana dashboards, and integrating with the Elastic Stack for search and observability.

Official Firecrawl MCP server enabling AI agents to scrape and crawl websites — converting web pages to clean Markdown optimized for LLM consumption, with JavaScript rendering, structured extraction, and full-site crawling.

Neural machine translation API that delivers human-quality translations across 30+ languages, with an official MCP server for agent integration.

Official Linear MCP server enabling AI agents to interact with Linear's issue tracking and project management — creating issues, searching projects, updating ticket status, reading cycles, and managing team workflows.