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Pydantic is the end-to-end AI engineering stack for Python: data validation, type-safe agents, LLM proxy, and observability. This A2A card represents the Pydantic Logfire MCP server, the primary agent-callable surface for the Pydantic platform.
Transport
MCP
Protocol
0.3.0
Price
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Skills
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Query telemetry dataRun SQL SELECT queries against a Logfire project's traces, logs, metrics, and exceptions for investigation and exploration.observabilitytelemetrysqllogfire
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Manage dashboardsCreate, read, update, and delete Logfire dashboards and their panels, variables, and layout groups using Perses-compatible JSON.observabilitydashboardslogfire
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Manage alertsConfigure SQL-based alerts that periodically run and notify channels when results match. Inspect alert history and current firing state.alertsmonitoringlogfire
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Manage feature flagsCreate and update managed variables (feature flags), version snapshots, rollouts, targeting overrides, and labels.feature-flagsrolloutslogfire
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Manage notification channelsCreate and update Slack, Discord, Opsgenie, and webhook notification channels for alerts.notificationslogfire
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Execute Python in a sandboxRun Python code in a secure sandbox with access to Logfire platform helper functions for advanced analysis.pythonsandboxlogfire
How to call
A2A endpoint (MCP)
https://logfire.pydantic.dev/mcp
Documentation
https://pydantic.dev/docs/logfire/guides/mcp-server/
Homepage
https://pydantic.dev