Why this server?

This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets, which supports deep analysis on provided data.

Why this server?

This server lets LLMs talk directly to your BigQuery data, facilitating deep analysis of the data stored within.

Why this server?

This server enables LLMs to interact with MongoDB databases, allowing users to query collections, inspect schemas, and manage data, which is useful for in-depth analysis.

Why this server?

This server enables AI models to interact with MySQL databases through a standardized interface, helpful for analyzing data within these databases.

Why this server?

This server provides tools for connecting to and interacting with various database systems (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server) through a unified interface, facilitating data analysis.

Why this server?

Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats allowing analysis of different documents.

Why this server?

Integrates Atlassian products (Confluence, Jira) with Model Context Protocol, enabling easy access to Confluence content and Jira tickets through the MCP interface. This could allow Claude to analyze issues/documentation and provide deep insights.

Why this server?

Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.

Why this server?

The Firebase MCP server provides a standardized interface to interact with Firebase services, including Firebase Authentication, Firestore, and Firebase Storage, which can provide a basis for data analysis.

Why this server?

Allows AI to interact with your Zotero library and allows for the data to be analyzed in more depth.