deploy-mcp is a universal deployment tracker for AI assistants that allows developers to monitor deployments across Vercel, Netlify, and Cloudflare Pages directly within their AI conversations, eliminating context switching and dashboard hunting.

Depyler is an energy-efficient Python-to-Rust transpiler that transforms Python code into safe, performant Rust with 75-85% energy reduction. Features progressive verification, MCP integration, and Toyota Way quality standards.

A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model, providing advanced text generation with 8192 token context window and Claude Desktop integration.

Deepseek Thinker MCP Server is a Model Context Protocol provider that delivers Deepseek's reasoning content to MCP-enabled AI clients like Claude Desktop, supporting both OpenAI API and local Ollama server modes.

DeepSeek MCP Server enables seamless integration of DeepSeek's powerful language models with MCP-compatible applications like Claude Desktop, providing anonymous API access and advanced conversation features.

DBHub is a universal database gateway implementing the Model Context Protocol (MCP) server interface, allowing MCP-compatible clients to connect to and explore PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite databases.

A Model Context Protocol (MCP) server enabling AI agents to interact with Alibaba Cloud DataWorks Open API through standardized tools for cloud resource management and operations.

A Model Context Protocol (MCP) server that enables AI agents to interact with Alibaba Cloud DataWorks Open API through standardized tools for seamless cloud resource operations and management.

An MCP server for interacting with the Hugging Face Dataset Viewer API, providing capabilities to browse, analyze, and search datasets hosted on the Hugging Face Hub with comprehensive tooling.

A Model Context Protocol (MCP) server for interacting with Datadog API, providing access to monitoring, dashboards, metrics, events, logs, and incidents with comprehensive error handling.

A Model Context Protocol (MCP) server for querying the DataCite GraphQL API, providing access to rich metadata about research outputs including DOIs, datasets, software, publications, and their connections within the PID Graph.

Databricks MCP Server enables AI agents to access Unity Catalog metadata, explore data lineage, and execute SQL queries for autonomous data discovery and analysis in Databricks environments.