Honeycomb
This Honeycomb MCP server, developed by Austin Parker, enables AI assistants to directly analyze and query Honeycomb observability data. Built with TypeScript and leveraging the MCP SDK, it provides tools for listing columns, running analytics queries, and analyzing data patterns within Honeycomb datasets. The server abstracts the complexities of interacting with the Honeycomb API, allowing AI systems to easily access and interpret observability data. By bridging AI capabilities with Honeycomb's powerful analytics, this implementation facilitates use cases such as automated performance analysis, anomaly detection, and data-driven troubleshooting in complex distributed systems.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/honeycombio/honeycomb-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Honeycomb 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.