Logfire
Logfire MCP Server provides AI assistants with access to OpenTelemetry traces and metrics through Logfire's API. Built by the Pydantic team, it enables LLMs to query application telemetry data, analyze distributed traces, and perform custom SQL queries on observability data with automatic token-based authentication. The server exposes tools for finding exceptions, analyzing errors in specific files, running arbitrary queries against trace data, and retrieving schema information - making it particularly valuable for debugging applications, investigating performance issues, and gaining insights from operational data without leaving the AI assistant conversation.
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
- database
- Source
- PulseMCP
- Repository
- github.com/pydantic/logfire-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Logfire 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.