A
securityA
licenseA
qualityConnects AI models to the Terraform Registry via MCP, enabling provider lookups, resource usage examples, and module recommendations for streamlined Terraform workflows.
Last updated -
6
113
116
TypeScript
MIT License
Offers integration with the Azure AI Community Discord server for community support and discussions around the MCP server.
Provides badges for repository watchers, forks, and stars to display engagement metrics for the MCP server project.
Enables standard workflow for TypeScript development through npm commands for installation, building, and running the MCP server.
Supports development in Python with dedicated structure for implementing MCP servers.
Provides dynamic badges to display repository statistics and community engagement metrics.
Supports development in TypeScript with dedicated structure for implementing MCP servers.
Used for hosting the Discord badge through Vercel's badge API service.
Azure AI Foundry MCP Servers
This repository showcases MCP servers that integrates with Azure AI Foundry to enable interesting scenarios powered by Azure AI Foundry.
MCP Servers
- Azure AI Agent Service MCP Server - Connect to Azure AI Agents and use them in any MCP client.
Usage with Other MCP Clients
These servers follow the MCP protocol specification and can be used with any MCP-compatible client. Refer to your client's documentation for specific instructions on how to connect to external MCP servers.
Development Notes
This project follows a polyglot structure with implementations in both Python and TypeScript:
Python Development
- Python code is located in the src/python directory
- Always activate the virtual environment from the project root
- For package installation, ensure you're in the Python directory where pyproject.toml is located
TypeScript Development
- TypeScript code is located in the src/typescript directory
- Uses ES Modules for modern JavaScript compatibility
- Standard npm workflow:
npm install→npm run build→npm start
License
This project is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.
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