Packages

Google Custom Search Engine (CSE) MCP server enabling AI agents to perform Google searches — querying the Google Custom Search API for web results, retrieving structured search result data with titles, URLs, and snippets, and integrating Google's search index into agent-driven research and information retrieval workflows.

Google Drive MCP server enabling AI agents to interact with Google Drive — listing files and folders, reading file content, creating and updating files, searching Drive content, accessing Google Docs/Sheets/Slides metadata, and integrating Google Drive's cloud storage into agent-driven document management and file automation workflows.

MCP server providing 19 tools for full CRUD access to Google Sheets and Drive — create, read, update, and share spreadsheets through natural language via Claude or other MCP clients.

MCP Security Standards server enabling AI agents to query security frameworks, standards, and best practices — accessing OWASP Top 10, NIST guidelines, CWE/CVE databases, security checklists, and compliance requirements, integrating security knowledge into agent-driven secure code review, threat modeling, and compliance assessment workflows.

A unified hub that aggregates multiple MCP servers behind a single HTTP/SSE endpoint, with a web dashboard, flexible per-server and per-group routing, AI-powered semantic tool discovery, OAuth 2.0, and hot-swappable configuration.

Memories with Lessons MCP server providing persistent memory storage focused on capturing lessons learned — storing mistakes made, successful approaches, and distilled wisdom from past agent interactions. Enables AI agents to remember what worked, what failed, and why, enabling self-improving agent behavior where lessons from past failures prevent future repetition.

MCP server for OpenMM — the high-performance molecular dynamics simulation toolkit. Enables AI agents to set up, run, and analyze molecular dynamics simulations via OpenMM's Python API. Supports protein simulations, force field configuration, energy minimization, and MD trajectory analysis — bringing AI-assisted computational chemistry to MCP-based workflows.

SPARQL LLM MCP server enabling AI agents to query and reason over RDF knowledge graphs using SPARQL — generating SPARQL queries from natural language, querying SPARQL endpoints (Wikidata, DBpedia, custom endpoints), and integrating semantic web knowledge graphs into agent-driven research and knowledge retrieval workflows.

Durable workflow engine that executes long-running, fault-tolerant processes with automatic state persistence, retry logic, and exactly-once execution guarantees across distributed systems.

YNAB (You Need A Budget) MCP server enabling AI agents to interact with the YNAB personal budgeting app — querying budget categories and balances, reviewing transactions, tracking spending patterns, and integrating YNAB's envelope budgeting system into agent-driven personal finance analysis and planning workflows.

Fast, secure MCP server runtime that loads tools as WebAssembly plugins. Plugins can be written in any WASM-compatible language, distributed via OCI registries (Docker Hub, GHCR), and run sandboxed with configurable memory/network/filesystem constraints. Includes 19+ built-in plugins.

A fullstack MCP framework (TypeScript and Python SDKs) for building MCP servers, interactive React-based MCP app widgets, and MCP agents/clients, with built-in inspector tooling and optional cloud deployment via Manufact.

An MCP server that gives AI assistants access to shadcn/ui v4 component source code, demos, usage patterns, and block implementations across React, Svelte, Vue, and React Native frameworks.

Official Airbyte MCP server enabling AI agents to interact with Airbyte's data integration platform — managing connections, triggering syncs, querying connector status, and monitoring data pipeline health.

Graph-based RAG system that parses multi-language codebases using Tree-sitter, builds knowledge graphs in Memgraph, and enables natural language queries about code structure and relationships. Supports parsing 11+ languages, AI-powered Cypher query generation, surgical code editing with AST targeting, shell command execution, and real-time graph updates via file watching. Includes an MCP server for Claude Code integration.

Open-source platform for creating and managing standardized cloud development environments (workspaces) programmatically via REST API, designed for both developer use and agent-driven code execution.

Documentation MCP server enabling AI agents to search and retrieve documentation from local or remote documentation sources — indexing documentation files, performing semantic search over docs, retrieving relevant documentation sections, and integrating documentation retrieval into agent-driven coding and research workflows.

Hono MCP server template enabling developers to build MCP servers using the Hono web framework — providing a TypeScript template for creating remote MCP servers deployable to Cloudflare Workers, Deno Deploy, or other edge runtimes, with built-in routing, middleware, and MCP protocol handling.

MCP server providing knowledge base capabilities with document ingestion, vector embedding, and semantic retrieval. Enables AI agents to build and query local knowledge bases from documents, notes, and structured content — supporting RAG (Retrieval Augmented Generation) patterns for grounding agent responses in domain-specific knowledge.

LLMs.txt Explorer MCP server enabling AI agents to discover and read llms.txt and llms-full.txt files from websites — fetching the standardized machine-readable documentation format that websites publish for LLM consumption, aggregating documentation context from multiple services, and providing agents with structured, LLM-optimized documentation without scraping raw HTML.