Database Management Servidores MCP

Snowflake Integration

Enables Claude to execute SQL queries and interact with Snowflake databases.

Supabase

Enables programmatic management of Supabase projects and organizations through a standardized interface.

ArangoDB

Facilitates database interactions with ArangoDB through a Model Context Protocol (MCP) server.

Hana

Provides a standardized interface for managing ML models, execution contexts, and communication protocols between applications and the HANA Cloud database.

Supabase

Enables seamless integration between MCP clients and Supabase services such as databases, storage, and edge functions.

Salesforce

Enables interaction with Salesforce through its REST API using the Model Context Protocol.

Databricks Connector

Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.

Firebird Integration

Enables Large Language Models to securely access, analyze, and manipulate data within Firebird SQL databases.

Go MySQL

Provides a zero-burden Model Context Protocol (MCP) server for interacting with MySQL databases and automating tasks without requiring Node.js or Python.

Kafka

Enables LLM models to interact with Apache Kafka through the Model Context Protocol (MCP).

Dremio

Eases LLM integration with Dremio through a Model Context Protocol server.

Teradata

Provides tools for interacting with Teradata databases, including query execution, DDL retrieval, database/table listing, and data quality analysis.

Rag Memory

Provides an advanced MCP server for RAG-enabled memory, leveraging a knowledge graph with vector search capabilities.

DBeaver

Enables AI assistants to interact with over 200 database types by integrating with DBeaver's existing connections.

Data Product

Enables AI agents to discover, access, and query high-quality business data products while enforcing data governance policies.

Web Algebra

Translates natural language instructions into JSON-formatted operations for loading, querying, and writing RDF Linked Data.

AI Memory

Provides a production-ready Model Context Protocol (MCP) server for AI agents to store, retrieve, and manage semantic memory and contextual knowledge across sessions.

Tiger Slack

Integrates Slack data in real-time to power agentic AI assistants with conversational memory.

Lakevision

Gain comprehensive visibility into Apache Iceberg-based data lakehouses, displaying detailed metadata and structural information.

NeuronDB

Extends PostgreSQL with advanced vector search, machine learning algorithms, and agent runtime capabilities.