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MTender MCP OCDS Server

An MCP (Model Context Protocol) server providing access to 🇲🇩 Moldova's public procurement data through the MTender API. Features include searching tenders, accessing tender details, budget information, and funding sources - all following the Open Contracting Data Standard (OCDS).

#mcp#mtender
Created by yoda-digital2025/03/27
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What is MTender MCP OCDS Server?

What is MTender MCP OCDS Server? The MTender MCP OCDS Server is an MCP (Model Context Protocol) server that provides access to Moldova's public procurement data through the MTender API, adhering to the Open Contracting Data Standard (OCDS). How to use MTender MCP OCDS Server? To use the server, clone the repository from GitHub, install the dependencies, and run the server. You can also run it in a Docker container for an isolated environment. Key features of MTender MCP OCDS Server? Access to the latest tenders in Moldova's public procurement system. Detailed information retrieval for tenders, budgets, and funding sources using Open Contracting IDs (OCID). Tools for searching tenders, analyzing tender documents, and fetching detailed information. Use cases of MTender MCP OCDS Server? Searching for recent public tenders in Moldova. Analyzing tender documents for compliance and details. Integrating with AI assistants to provide procurement data insights. FAQ from MTender MCP OCDS Server? Can I access all public procurement data in Moldova? Yes, the server provides comprehensive access to the MTender API, covering all available data under the OCDS schema. Is there a Docker setup available? Yes, the server can be run in a Docker container, and instructions are provided for building and running it. How can I contribute to the project? You can contribute by forking the GitHub repository, making changes, and submitting a pull request.

As an MCP (Model Context Protocol) server, MTender MCP OCDS Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MTender MCP OCDS Server

To use the server, clone the repository from GitHub, install the dependencies, and run the server. You can also run it in a Docker container for an isolated environment. Key features of MTender MCP OCDS Server? Access to the latest tenders in Moldova's public procurement system. Detailed information retrieval for tenders, budgets, and funding sources using Open Contracting IDs (OCID). Tools for searching tenders, analyzing tender documents, and fetching detailed information. Use cases of MTender MCP OCDS Server? Searching for recent public tenders in Moldova. Analyzing tender documents for compliance and details. Integrating with AI assistants to provide procurement data insights. FAQ from MTender MCP OCDS Server? Can I access all public procurement data in Moldova? Yes, the server provides comprehensive access to the MTender API, covering all available data under the OCDS schema. Is there a Docker setup available? Yes, the server can be run in a Docker container, and instructions are provided for building and running it. How can I contribute to the project? You can contribute by forking the GitHub repository, making changes, and submitting a pull request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MTender MCP OCDS Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MTender MCP OCDS Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.