Transparent MCP proxy for agent observability. Logs every tool call, exposes trace history, reduces token overhead.
Transparent MCP proxy for agent observability.
Observer sits between your MCP client (Claude Desktop, Cline, Goose, Codex, etc.) and the actual MCP server. It logs every tool call to SQLite and exposes trace history through additional MCP tools, so you can see exactly what your agent is doing.
Across 1665 discussions in 8 major AI agent communities (MCP, Codex, Cline, Goose, Anthropic SDK, OpenAI Python), the 1 recurring problem is agent observability. Nobody can see what their agent is actually doing. There is no standard way to trace agent actions, tool calls, or decisions.
- Transparent proxy - Drop-in replacement for any MCP server. Your client does not know it is talking to a proxy. - Tool call logging - Every tool call is logged with input, output, duration, error status, and token estimate. - Trace tools - Exposes 4 additional MCP tools for querying history: - trace.history - List recent tool calls - trace.stats - Usage statistics with per-tool breakdown - trace.search - Search through tool call history - trace.replay - Replay a previous tool call by ID - Tool filtering - Hide tools from the client to reduce token overhead (addresses tool bloat, the 2 problem found in the same research). - SQLite storage - All data stored locally in SQLite. No external dependencies. - Zero config - One binary, one env var to point at your upstream server.
Or with Cline / Goose / any MCP client - just replace the server command with observer and set OBSERVERTARGET to the original command.
From the project README.
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