MCP Servers

Connect to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status.

Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language.

Official MCP server for [dbt (data build tool)](https://www.getdbt.com/product/what-is-dbt) providing integration with dbt Core/Cloud CLI, project metadata discovery, model information, and semantic layer querying capabilities.

Comprehensive Kafka Schema Registry MCP server with 48 tools for multi-registry management, schema migration, and enterprise features.

MCP Server for Milvus / Zilliz, making it possible to interact with your database.

MCP server for interacting with [YDB](https://ydb.tech) databases

A Model Context Protocol server for interacting with Google Sheets. This server provides tools to create, read, update, and manage spreadsheets through the Google Sheets API.

Production-ready MCP server for libSQL databases with comprehensive security and management tools.

An MCP Server to connect to your Weaviate collections as a knowledge base as well as using Weaviate as a chat memory store.

A Go implementation of a Model Context Protocol (MCP) server for Trino

TDolphinDB database integration with schema inspection and query capabilities

Official Supabase MCP server to connect AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data.

Open-source MCP server for Snowflake from official Snowflake-Labs supports prompting Cortex Agents, querying structured & unstructured data, object management, SQL execution, semantic view querying, and more. RBAC, fine-grained CRUD controls, and all authentication methods supported.

Serverless MariaDB Cloud DB MCP server. Tools to launch, delete, execute SQL and work with DB level AI agents for accurate text-2-sql and conversations.

Pinecone integration with vector search capabilities

Official MCP server for the S2.dev serverless stream platform.

Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface.

Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries).

Query and analyze Prometheus, open-source monitoring system.

Query and analyze Azure Data Explorer databases