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https://github.com/monkdbofficial/monkdb-mcp

An MCP server πŸš€ for MonkDB, licensed under Apache 2.0 πŸ“œ
https://github.com/monkdbofficial/monkdb-mcp

ai-agents ai-gateway database llm llm-agent mcp mcp-server monkdb olap python3 rag typescript unified-data-platform

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An MCP server πŸš€ for MonkDB, licensed under Apache 2.0 πŸ“œ

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README

          

# MonkDB MCP Server

![typescript-support](https://img.shields.io/badge/TypeScript-Supported-blue?logo=typescript)
![python-support](https://img.shields.io/badge/Python-Supported-blueviolet?logo=python)

A **Model Context Protocol (MCP)** server acts as a standardized bridge between large language models (LLMs) like Claude and databases such as MonkDB, allowing these models to perform advanced database operations securely and efficiently through natural language instructions.

## What is MCP?

The Model Context Protocol (MCP) is an open standard designed to let AI systems connect with external data sources and tools. It provides a universal, structured communication channel between:

- **MCP Clients**: AI assistants (e.g., Claude, Cursor.ai) that need data or tool access.
- **MCP Servers**: Services exposing data or functionality (e.g., a MonkDB server) for use by LLMs

## How Does an MCP Server Work with MonkDB?

An MCP server for MonkDB would expose MonkDB’s capabilities as a set of standardized, secure commands that LLMs can invoke. This enables LLMs to:

- **Query the database**: Run searches, filter results, and retrieve specific documents or records.
- **Inspect table/collection schemas**: Understand the structure, fields, and data types in MonkDB tables.
- **Check server health**: Run diagnostics, monitor performance, and report on availability.

## Key Features and Benefits

- **Natural Language Interface**: LLMs translate user queries into MCP commands, making database interaction accessible to non-experts.
- **Standardized Protocol**: Ensures consistent authentication, error handling, and data formatting across different clients and servers.
- **Security**: Access control and validation are built into the server, preventing unauthorized or unsafe operations.
- **Scalability**: MCP can support multiple LLM clients and MonkDB instances, facilitating horizontal scaling and robust data access.
- **Extensibility**: New tools or database actions can be added to the MCP server as needed, future-proofing the integration.

## Architecture Overview

| Component | Role |
|--------------|----------------------------------------------------------------------------------------|
| Host | Embeds the LLM (e.g., a chatbot or IDE) |
| MCP Client | Mediates between the host and MCP server, routing requests and injecting context |
| MCP Server | Exposes MonkDB’s data and tools, handling requests and returning structured results |

This separation allows for easier integration, better security, and more maintainable code.

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## Directory Layout

- `mcp_monkdb`- This directory contains the code of MonkDB's MCP server for Python3 stacks.
- `typescript`- This directory contains the code of MonkDB's MCP server for TS stacks.

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## README Index

- [Python](./mcp_monkdb/README.md)
- [Typescript](./typescript/README.md)

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