Azure AI Search MCP Server
by mm-repos
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_MODEL | No | The Gemini model to use | gemini-1.5-flash |
| GOOGLE_API_KEY | No | Your Google API key for Gemini (optional, for enhanced AI processing) | |
| LANGCHAIN_API_KEY | No | Your LangSmith API key (optional, for tracing and debugging) | |
| LANGCHAIN_PROJECT | No | The LangChain project name | azure-search-mcp |
| GEMINI_TEMPERATURE | No | The temperature setting for Gemini model | 0.1 |
| LANGCHAIN_ENDPOINT | No | The LangChain API endpoint | https://api.smith.langchain.com |
| AZURE_SEARCH_API_KEY | Yes | Your Azure AI Search admin API key | |
| LANGCHAIN_TRACING_V2 | No | Enable LangChain tracing v2 for debugging | true |
| AZURE_SEARCH_ENDPOINT | Yes | The endpoint URL of your Azure AI Search service (e.g., https://your-search-service.search.windows.net) | |
| AZURE_SEARCH_INDEX_NAME | Yes | The name of your Azure AI Search index |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues