Databases MCP Repositories

MCP service for Tablestore, features include adding documents, semantic search for documents based on vectors and scalars, RAG-friendly, and serverless.

Enables LLMs to interact directly with MongoDB databases using natural language, facilitating schema inspection, document querying, and data management.

Access and query multiple databases using the Legion Query Runner, allowing seamless execution of SQL queries, schema retrieval, and query optimization via a unified API.

Facilitates robust interaction with Airtable data stores, enabling record manipulation, schema introspection, and streamlined data operations for language models.

Enables natural language querying of live Google BigQuery data, facilitating access to datasets without requiring SQL knowledge. Integrates real-time data insights with AI clients through a simple interface.

Manage todo requests with efficient integration between FastMCP and MongoDB, supporting task processing through agent-based workers and real-time updates. Ideal for enhancing task management workflows with AI model integration.

Manage databases with Prisma's ORM tools, automate schema migrations, generate type-safe query builders, and interact visually with data through a GUI. The Prisma MCP server enables AI agents to control Prisma Postgres databases by spinning up instances and running migrations.

Manage PocketBase collections by fetching, creating, updating, and deleting records. Handle file uploads and downloads to streamline database operations.

Enables natural language queries to MySQL and PostgreSQL databases using advanced text-to-SQL techniques. Supports both cloud and local operating modes for seamless database interaction and data retrieval.

Demonstrates security vulnerabilities in MCP servers by exposing insecure tools for educational purposes. Showcases common attack vectors like SQL injection and arbitrary SQL execution, facilitating an understanding of risks and mitigation strategies.

Facilitates the rapid development of MyBatis XML and Spring Boot applications by enabling automatic generation of XML mappings and SQL based on entity classes and annotations, thus simplifying the development process for various databases.

Execute SQL queries against Databricks, retrieve data, list available schemas, and describe table structures to enhance data operations. Integrates effectively with Agent mode for performing complex task automation.

Connect to any JDBC-compatible database and query, insert, update, delete, and more.

Automate and interact with InterSystems IRIS databases, streamlining data manipulation and retrieval processes. Enhance application development by leveraging the Model Context Protocol for efficient database interactions.

Connects to Azure Cosmos DB and provides access to product and order data, facilitating navigation and management via an AI Assistant. The server integrates with a frontend application to enhance user experience through seamless database interactions.

MySQL database integration in NodeJS with configurable access controls and schema inspection

Interact with ClickHouse and PostgreSQL databases through Neurelo Connect, enabling natural language queries and data manipulation.

Utilizes a scalable knowledge graph built on Elasticsearch to manage and query large datasets, providing persistent memory for AI systems. Supports complete CRUD operations and offers advanced search capabilities for improved data handling in Model Context Protocol applications.

Enables LLMs to execute read-only SQL queries against MySQL databases and inspect database schemas. Retrieves schema information including column names and data types for each table.

Connects LLMs to live Databricks data through a read-only MCP interface, facilitating natural language querying without the need for SQL. It enables seamless retrieval of up-to-date information using exposed tables and columns from Databricks via the CData JDBC Driver.

Connect to Elasticsearch or OpenSearch clusters for natural language interaction, enabling operations such as searching documents, managing indices, and monitoring cluster health.

Leverage a knowledge graph with entities and relations, enabling semantic search capabilities using OpenAI embeddings and Qdrant for data persistence. Supports HTTPS and Docker for streamlined deployment.

Interact with Neon serverless Postgres databases using natural language for tasks such as database creation and management, running SQL queries, handling migrations, and managing projects.

[sirmews/mcp-pinecone](https://github.com/sirmews/mcp-pinecone) 🐍 ☁️ - Pinecone integration with vector search capabilities

Access MongoDB databases to execute aggregation pipelines and inspect collection schemas for data insights. Provides read-only capabilities to enhance LLM applications with database functionalities.

Enables AI assistants to query data results using natural language through direct connections to data tables in DataFocus. Supports initialization of data table dialogues for natural language data acquisition.

Enhance conversational agents by providing a memory system that retrieves and updates user information using DuckDB for efficient querying of knowledge graphs. Maintain context regarding user preferences and relationships over interactions.

Query and analyze MongoDB databases with read-only access, enabling exploration of data while ensuring safety. Utilize powerful querying and aggregation capabilities to gain insights and suggest visualizations.

Enables interaction with PostgreSQL databases by providing read-only access to user-defined tables across multiple schemas with strict schema isolation. Facilitates cross-schema discovery and enhanced metadata management while ensuring security through access controls.

Provides a read-only interface for querying live Intacct data using natural language, enabling seamless integration with large language models (LLMs) to access up-to-date financial and operational information.