mcp-pinecone implements a Model Context Protocol (MCP) server that integrates with Pinecone indexes for use with clients such as Claude Desktop. It provides powerful tools for semantic search, document reading, listing, and processing within a Pinecone vector database. The server supports operations like embedding, chunking, and upserting records, enabling contextual management of large document sets. Designed for ease of installation and interoperability via the MCP standard.

• ⭐ 150
• MCP
• sirmews/mcp-pinecone

MCP Alchemy enables seamless integration between Claude Desktop and a wide range of SQL databases through the Model Context Protocol. It empowers Claude to explore database structure, write and validate SQL queries, analyze relationships between tables, and process large datasets for reporting. The tool is compatible with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica, and any SQLAlchemy-compatible database.

• ⭐ 358
• MCP
• runekaagaard/mcp-alchemy

Redis MCP Server provides an MCP-compliant interface for agentic applications to interact with Redis using natural language commands. It enables AI-driven workflows to store, search, and manage structured or unstructured data efficiently. The server integrates seamlessly with any MCP client, supporting full Redis data structures and advanced querying. It is designed for scalable, high-performance data operations and native support for Azure authentication.

• ⭐ 325
• MCP
• redis/mcp-redis

Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

• ⭐ 45
• MCP
• rashidazarang/airtable-mcp

Quarkus Model Context Protocol Servers offers a collection of Java-based servers implementing the Model Context Protocol (MCP) to extend the capabilities of language model applications. Built with the Quarkus MCP server framework, it enables integration with JDBC databases, JVM processes, file systems, JavaFX, Kubernetes, containers, and Wolfram Alpha. The project allows easy deployment and extension of context-aware services for AI applications via MCP. Its servers can be run across different environments using jbang and are easily extensible for new capabilities.

• ⭐ 176
• MCP
• quarkiverse/quarkus-mcp-servers

MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

• ⭐ 172
• MCP
• QuantGeekDev/mongo-mcp

mcp-server-qdrant provides an official implementation of the Model Context Protocol for interfacing with the Qdrant vector search engine. It enables storing and retrieving contextual information, acting as a semantic memory layer for LLM-driven applications. Designed for easy integration, it supports environment-based configuration and extensibility via FastMCP. The server standardizes tool interfaces for managing and querying contextual data using Qdrant.

• ⭐ 1,054
• MCP
• qdrant/mcp-server-qdrant

Prisma MCP provides local and remote MCP servers that enable large language models (LLMs) to access and manage Prisma Postgres databases using the Model Context Protocol. It exposes a suite of structured tools for database operations like creation, backup, recovery, introspection, and executing SQL queries. The platform enables secure, permissioned interactions and integrates seamlessly with development workflows and AI platforms.

• ⭐ 32
• MCP
• prisma/mcp

Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

• ⭐ 282
• MCP
• pab1it0/prometheus-mcp-server

Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

• ⭐ 49
• MCP
• pab1it0/adx-mcp-server

MCP Server ODBC via SQLAlchemy provides a lightweight, FastAPI-based server that implements the Model Context Protocol (MCP) for accessing ODBC-compatible databases. It bridges AI tools and database systems by exposing standardized endpoints for fetching schema, tables, table descriptions, and executing queries or stored procedures. With support for Virtuoso, PostgreSQL, MySQL, and SQLite, it allows seamless, structured, and context-aware database access for context-driven applications.

• ⭐ 19
• MCP
• OpenLinkSoftware/mcp-sqlalchemy-server

OpenLink MCP Server for ODBC provides a TypeScript-based server that implements the Model Context Protocol (MCP), facilitating seamless access for Large Language Models to ODBC-accessible data sources. Built on top of node-odbc, it enables actions such as schema and table discovery, SQL query execution, and database introspection. The server supports a wide range of ODBC drivers and robust environment configuration, making it adaptable to multiple database backends and use cases. By leveraging the MCP standard, it simplifies and standardizes how LLMs interface with structured data via ODBC.

• ⭐ 9
• MCP
• OpenLinkSoftware/mcp-odbc-server

OpenLink MCP Server for JDBC provides a Java-based implementation of the Model Context Protocol (MCP), facilitating structured, context-aware interactions with relational databases via JDBC. It supports a variety of database operations, including schema and table discovery, table element descriptions, SQL query execution in multiple formats, and Virtuoso-specific features. Easily configurable and designed for integration with tools like Claude Desktop, it enables model-context-aware applications to access and manage database content effectively.

• ⭐ 8
• MCP
• OpenLinkSoftware/mcp-jdbc-server

Nile MCP Server implements the Model Context Protocol to enable seamless integration between LLM applications and the Nile database platform. It provides standardized APIs for database and credential management, SQL execution, and region discovery. Written in TypeScript, the server focuses on type safety, comprehensive error handling, and robust input validation. It supports easy installation and integration with Claude Desktop for advanced AI workflows.

• ⭐ 16
• MCP
• niledatabase/nile-mcp-server

Neon MCP Server provides a bridge between natural language requests and Neon Postgres databases through the Model Context Protocol (MCP). It enables users to manage database operations such as creating projects, running queries, and handling migrations by translating conversational commands into API calls. Designed for both local and remote setups, it enhances database accessibility for users with varying technical backgrounds. It prioritizes security, recommending use in local development and IDE integrations.

• ⭐ 513
• MCP
• neondatabase/mcp-server-neon