Packages

MCP server leveraging Google Apps Script for Google Workspace automation, from tanaikech — a prolific Google Apps Script developer. Enables AI agents to execute Apps Script code, automate Google Workspace (Sheets, Docs, Drive, Gmail), and interact with Google's ecosystem through Apps Script's powerful integration capabilities.

One of the world's most widely deployed open source relational database management systems, offering ACID-compliant transactions, robust SQL support, replication, and a massive ecosystem. Accessed via SQL drivers (mysql2 for Node, mysqlclient/PyMySQL for Python, MySQL Connector for Java). MariaDB is a community fork with additional features and performance improvements.

Snowflake MCP server enabling AI agents to interact with Snowflake cloud data warehouse — executing SQL queries, listing databases and schemas, exploring table structures, running analytical queries, and integrating Snowflake's elastic data platform into agent-driven analytics, data engineering, and BI workflows.

MCP server for Typeform — enabling AI agents to interact with Typeform forms and response data. Allows agents to retrieve form definitions, access survey responses, query form analytics, and manage Typeform workspaces. Enables AI-driven analysis of form and survey data.

VectorCode is a code repository indexing tool that uses tree-sitter semantic chunking and Chroma vector embeddings to inject task-relevant codebase context into LLM prompts, reducing hallucination on proprietary or niche codebases. It provides a CLI, Neovim Lua API, and MCP server.

MCP server providing web search via DuckDuckGo and webpage content extraction for AI models. Includes built-in rate limiting (30 searches/min, 20 fetches/min), ad removal, and result formatting optimized for LLM consumption.

A collection of hands-on labs demonstrating how to build enterprise AI gateways using Azure API Management, covering load balancing, rate limiting, semantic caching, MCP integration, and multi-model routing with 30+ Jupyter notebook labs.

S3-compatible object storage with zero egress fees, built on Cloudflare's global network, ideal for storing assets that need to be served globally without bandwidth costs.

Distributed search and analytics engine REST API for full-text search, structured queries, aggregations, vector/semantic search (kNN), and real-time indexing over large-scale datasets.

MCP server for Google Search Console — Google's official tool for monitoring website search performance. Enables AI agents to query search analytics (clicks, impressions, CTR, position), inspect URL indexing status, and analyze search performance data to support SEO analysis and content strategy agents.

MCP server bridging Language Server Protocol (LSP) language servers with AI agents. Enables agents to use LSP capabilities — go-to-definition, find references, hover documentation, auto-completions, diagnostics — from any language server (TypeScript, Python, Go, Rust, etc.) without requiring a full IDE.

MCP server for generating and managing Product Requirements Documents (PRDs). Enables AI agents to create structured PRDs from product ideas, retrieve PRD templates, update requirement sections, and manage product documentation — supporting AI-assisted product management and technical writing workflows.

A hybrid SAST and dead code detection tool for Python, TypeScript, and Go that combines AST-based static analysis with optional LLM-powered remediation, offering framework-aware false-positive reduction and CI/CD integration.

WordPress MCP server enabling AI agents to interact with WordPress sites via the WP REST API — reading and creating posts and pages, managing categories and tags, querying media library, handling comments, and integrating WordPress's CMS capabilities into agent-driven content creation, site management, and publishing automation workflows.

MCP server for Abstract Syntax Tree (AST) analysis of source code. Enables AI agents to parse source code into ASTs, query code structure, extract function definitions and class hierarchies, analyze code patterns, and perform structural code analysis — supporting AI-driven code understanding and refactoring workflows.

Amazon Simple Email Service — a highly scalable, low-cost email sending API for transactional, marketing, and bulk email with SMTP and REST interfaces.

Apache Spark History Server MCP enabling AI agents to query the Spark History Server — retrieving completed and running Spark job metadata, execution timelines, stage details, and task metrics — integrating Spark's job monitoring into agent-driven data engineering observability and pipeline debugging workflows.

Blockbench MCP plugin enabling AI agents to interact with Blockbench — the popular free 3D modeling editor for Minecraft and voxel game assets — creating and modifying 3D models, managing textures and UV maps, exporting models in various game formats (Bedrock, Java, OBJ), and integrating AI-driven 3D asset creation into Minecraft modding and game development workflows.

MCP server for Browserbase cloud browser automation — enables AI agents to automate cloud-hosted browsers to navigate websites, interact with elements, and extract data. Provides scalable headless browser infrastructure for AI-driven web automation without managing local browser infrastructure.

Personal context management MCP server from Autoblocks AI — enabling AI assistants to store, retrieve, and manage personal context for more personalized and consistent interactions. Allows AI agents to remember preferences, facts, and patterns about users across sessions through a context management layer.