Azure Table Storage
This Azure Table Storage MCP server, developed by Christia Pedersen, provides AI assistants with a standardized interface to interact with Azure Table Storage. Built using TypeScript and leveraging the @azure/data-tables library, it offers capabilities for storing, retrieving, and querying structured data in the cloud. The server abstracts the complexities of Azure Table Storage operations, handling authentication, data serialization, and query optimization. It's particularly valuable for developers and AI systems working with large-scale, semi-structured data, enabling use cases such as log data storage, user profile management, and IoT telemetry processing within the Azure ecosystem.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/dkmaker/mcp-azure-tablestorage
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Azure Table Storage 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.