Axiom
This MCP server for Axiom, developed by Max Jikharev, enables AI agents to query data using Axiom Processing Language (APL). Built with Node.js and leveraging the Model Context Protocol SDK, it provides a standardized interface for executing APL queries and listing datasets in Axiom. The implementation features rate limiting, environment variable configuration, and proper error handling. It's particularly useful for AI assistants and applications needing to analyze log data or perform data exploration in Axiom, enabling use cases such as log analysis, anomaly detection, and data-driven decision making without directly interacting with Axiom's API complexities.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/thetabird/mcp-server-axiom-js
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Axiom 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.