AgentGuard provides local-first runtime guardrails for coding agents to prevent loops, retry storms, and budget overruns using a Python SDK, while exposing traces and incident context through an MCP server.
From the registry: MCP server for coding-agent traces, alerts, costs, usage, and budget health.
Please install the `agentguard47` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@agentguard47/mcp-server"]
Note: Read-only MCP server exposing traces, decision events, alerts, usage, costs, and budget health from AgentGuard read API.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.