Azure AI Search
The Azure AI Search MCP server connects Claude Desktop to Azure AI Search services, enabling users to query their search indexes using three distinct methods: keyword search for exact lexical matches, vector search for semantic similarity using embeddings, and hybrid search combining both approaches. Built with Python using the FastMCP framework, it handles authentication through Azure credentials, formats search results in readable markdown, and provides detailed error handling. This implementation is particularly valuable for users who need to retrieve information from their Azure AI Search indexes directly within Claude conversations, making it ideal for research, content discovery, and knowledge management workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Azure AI Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.