Enables AI agents to query MySQL, ClickHouse, Trino, and S3-compatible object stores through the same local daemon used by VSCode, including running SQL from files and browsing buckets.
Enables AI-powered MCP clients to interact with data lakehouse components including Kafka, Flink, and Trino/Iceberg for managing topics, jobs, catalogs, and executing queries.
Provides an interface between AI assistants and Tripo AI via Model Context Protocol, enabling generation of 3D assets from natural language and importing them to Blender.
Enables AI assistants to interact with multiple SQL databases (PostgreSQL, MySQL, SQL Server, SQLite, Trino) through MCP, reusing existing DBeaver connections for queries, schema management, and transactions, with SSH tunneling and read-only mode support.
Turns DeepSeek Harness into an MCP server with tools for session management, agent execution, resources, and OAuth, plus browser automation and GitHub/GitLab integration.
Enables local image analysis and document processing through MCP workers (Vision and Document) using Ollama models, with cloud orchestration for mixed hierarchical tasks. Supports tools for image understanding, requirement extraction, test case generation, and GPU memory lifecycle management.
Enables interaction with Tripo Studio for 3D model generation, management, and post-processing through natural language, with safety features to prevent duplicate charges.