Data & analytics

An MCP Server for querying InfluxDB

A MCP (Model Context Protocol) server for interacting with dbt.

mcp-server-data-exploration MCP server

A Model Context Protocol (MCP) for Jupyter Notebook

Model Context Protocol server for interacting with iaptic

A Model Context Protocol server that provides read-only access to MySQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.

MCP Server for Databricks

A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.

nocodb mcp server

A simple MCP ODBC server using FastAPI, ODBC and SQLAlchemy.

Execute SQL queries and manage databases seamlessly with Timeplus. Leverage powerful tools to interact with your data, Kafka topics, and Iceberg tables efficiently. Enhance your data workflows with a user-friendly interface and robust backend capabilities.

Universal database MCP server connecting to MySQL, PostgreSQL, SQL Server, MariaDB.

A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities

A Model Context Protocol server for MySQL database operations

a mcp server for vikingdb store and search

MCP Server for Trino

Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG

🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases

Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.

Connect Supabase to your AI assistants

Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB

A mongo db server for the model context protocol (MCP)

A Model Context Protocol server that provides access to BigQuery

ydb-mcp MCP server

databricks-genie-MCP MCP server

A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.

Connect any Open Data to any LLM with Model Context Protocol.

zaturn MCP server

A Model Context Protocol (MCP) server that enables natural language queries to databases

This collection gives AI assistants ready-made tools to read your database, manage files, check running programs, and control cloud servers. You run them with simple commands and link them straight to your chat apps so they can complete tasks for you.

A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.

A Model Context Protocol server for converting almost anything to Markdown

This collection of tools connects your AI chat apps directly to Neo4j graph databases. It lets your assistant view data structures, run safe queries to find or save information, and manage your cloud database settings using simple text prompts.

Memgraph MCP Server

This server connects AI chat tools to TiDB cloud databases so they can read and write data safely. You just set your login details in a local file, and your assistant can run queries or check table layouts without leaving your chat window.

This MCP server connects your AI assistant to dbt project metadata and documentation files. It lets you search for data models by name or code, inspect detailed attributes, and trace exactly how information flows between tables and columns.

This plugin links AI chatbots to your Hydrolix data platform and gives the model built-in tools to list databases, inspect table layouts, and run safe SQL queries. You only need a server address and your login details to start asking questions about your stored information.

mcp-snowflake-server MCP server

SkySQL MCP server and client repository.

This server connects AI assistants to multiple databases like MySQL, PostgreSQL, SQLite, and Oracle. It gives your AI safe tools to run queries, modify data, check table structures, and analyze performance through a single setup.