Database Management Servidores MCP

Salesforce Connector

Connects large language models to Salesforce data through SOQL queries and SOSL searches.

Weaviate

Integrates Weaviate as a Model Context Protocol (MCP) server, enabling seamless interaction with Claude.

MongoDB Lens

Provides a local Model Context Protocol (MCP) server for interacting with MongoDB databases using natural language queries.

Superset

Enables AI agents to programmatically connect to and control an Apache Superset instance.

Milvus

Provides access to Milvus vector database functionality through the Model Context Protocol (MCP).

PostgreSQL

Provides PostgreSQL database management capabilities, assisting with analysis, debugging, schema management, data migration, and monitoring.

Snowflake

Enables interaction with Snowflake databases through a Model Context Protocol (MCP) server, facilitating SQL query execution and data insight memo management.

DuckDB Server

Enables interaction with a DuckDB database via the Model Context Protocol.

Meilisearch

Enables interaction with Meilisearch through Large Language Model (LLM) interfaces via a Model Context Protocol (MCP) server.

Mongo

Enables Large Language Models (LLMs) to directly interact with MongoDB databases using natural language.

StarRocks

Bridges AI assistants with StarRocks databases, enabling direct SQL execution and database exploration.

OpenAI Gemini Llama Example

Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database.

BloodHound

Enables Large Language Models to analyze Active Directory and Azure Active Directory environments through natural language queries.

OpenNutrition

Provides access to the comprehensive OpenNutrition food database, offering nutritional data and barcode lookup capabilities.

Postgres

Connects Large Language Models to PostgreSQL databases, enabling controlled querying and analysis.

SqlServer.Rules

Enforces SQL best practices through over 120 static code analysis rules for SQL Database Projects.

Power BI Desktop

Enables AI assistants to programmatically interact with Power BI models, facilitating tasks like reading model structure, running DAX queries, and managing measures through natural conversation.

DAT

Enables natural language interaction with enterprise data through pre-modeled semantic layers, eliminating the need for complex SQL queries.

Power BI Desktop

Empowers AI assistants to programmatically interact with Power BI models, enabling them to read model structures, execute DAX queries, and manage various model components through natural language.

Performance Studio

Analyzes SQL Server execution plans for performance issues and suggests optimizations, enhanced with AI-assisted review.