agent-window-logger-mcp
agent-window-logger-mcp helps AI developers log and analyze agent interactions. Record prompts, responses, and timestamps with log_agent_interaction; create chronological session documents via generate_session_doc; and query logs by keywords, dates, or sessions using search_logs.
Overview
The agent-window-logger-mcp server enables precise logging and analysis of AI agent interactions within MCP environments. It captures prompts, responses, and timestamps to create searchable records of agent sessions. This matters for debugging agent behavior, auditing interactions, and reconstructing session histories.
Key Capabilities
Use log_agent_interaction to record individual agent exchanges with prompt, response, and timestamp details. Run generate_session_doc to compile a chronological document summarizing an entire session. Apply search_logs to query logs by keywords, date ranges, or specific sessions for targeted retrieval.
Use Cases
A developer logs interactions during agent testing, then uses search_logs to find errors from a specific date. A researcher generates a session document with generate_session_doc to review an agent's decision-making sequence. An auditor searches logs by keywords to verify compliance in agent responses across multiple sessions. A team lead exports chronological docs to document agent performance in client reports.
Who This Is For
AI developers and researchers building or debugging agent systems. Data analysts reviewing interaction histories for patterns. Intermediate users familiar with MCP servers and basic scripting for logging workflows.