30 open-source projects similar to qdrant/mcp-server-qdrant, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Mcp Server Qdrant alternative.
MCP Server to interact with data in Couchbase Clusters
MCP server for interacting with Neon Management API and databases
A Model Context Protocol Server for MongoDB
A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities
A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources.
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
🍃🔎 MongoDB Lens: Full Featured MCP Server for MongoDB Databases
A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.
A Model Context Protocol server that provides access to BigQuery
🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers. The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil
LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab
This project is a Model Context Protocol server that provides an interface for AI agents to programmatically create, read, and modify Excel workbooks. It serves as a bridge that enables large language models to perform spreadsheet automation and data visualization. The server allows AI agents to generate native Excel charts and pivot tables from raw data, transforming structured information into visual summaries. It provides a mechanism for remote spreadsheet management through a protocol-based connectivity layer. The system covers a broad range of spreadsheet manipulation capabilities, incl
Store and load JSON documents from LLM tool use
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RocksDB is a high-performance, embeddable persistent key-value library and storage engine based on Log-Structured Merge-trees. It is designed to provide durable storage for large-scale datasets, integrating directly into applications to manage data on flash and RAM-based hardware. The engine is distinguished by its focus on minimizing read and write amplification through multi-threaded compaction and custom memory allocators. It features specialized optimizations for flash storage, including support for zoned block devices, and provides the ability to extend store behavior via external plugin
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
A Model Context Protocol (MCP) server for GreptimeDB
Beekeeper Studio is a cross-platform desktop application designed for database management and SQL development. It provides a unified graphical interface to connect to, query, and modify data across a wide range of relational and NoSQL database systems. The application functions as a comprehensive workspace, integrating tools for schema design, record editing, and data visualization. The project distinguishes itself through a focus on secure, flexible connectivity and AI-assisted workflows. It supports advanced authentication methods, including enterprise single sign-on, multi-factor authentic
Simple SQL Client for lightweight data analysis.
Medis is a native macOS desktop application that serves as a Redis client for connecting to local and remote instances. It provides a graphical user interface for visualizing, editing, and managing data stored within Redis key-value stores. The application includes a visual key-value explorer for browsing records and a dedicated terminal console for executing raw instructions and system shell commands. It supports secure remote administration through SSL encrypted connections and the use of host, port, and password credentials. Connection management is handled via profiles that allow saving
Local MCP server for DuckDB and MotherDuck
The easiest way to get started with MongoDB on the Mac