MCP Servers

A Model Context Protocol (MCP) that provides access to the MongoDB Atlas API. This server wraps the `mongodb-atlas-api-client` package to expose MongoDB Atlas functionality through MCP tools.

BigQuery database integration with schema inspection and query capabilities

VikingDB integration with collection and index introduction, vector store and search capabilities.

MCP server for Apache Kafka and Timeplus. Able to list Kafka topics, poll Kafka messages, save Kafka data locally and query streaming data with SQL via Timeplus

Simple Snowflake MCP server that works behind a corporate proxy. Read and write (optional) operations

Comprehensive MCP server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters.

Snowflake integration implementing read and (optional) write operations as well as insight tracking

Official MCP server for InfluxDB 3 Core/Enterprise/Cloud Dedicated

Run queries against InfluxDB OSS API v2.

Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.

Open source MCP server specializing in easy, fast, and secure tools for Databases.

An MCP server that executes SQL via ConnectorX and streams the result to a CSV or Parquet file. Supports PostgreSQL, MariaDB, BigQuery, RedShift, MS SQL Server, etc.

Convex database integration to introspect tables, functions, and run oneoff queries ([Source](https://github.com/get-convex/convex-backend/blob/main/npm-packages/convex/src/cli/mcp.ts))

MCP server for Google Sheets API integration with comprehensive reading, writing, formatting, and sheet management capabilities.

Fireproof ledger database with multi-user sync

Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities

Nocodb database integration, read and write capabilities

Trino MCP Server to query and access data from Trino Clusters.

Couchbase MCP server provides unfied access to both Capella cloud and self-managed clusters for document operations, SQL++ queries and natural language data analysis.

Confluent integration to interact with Confluent Kafka and Confluent Cloud REST APIs.