

AgentPMT Audit Logs
Memory
Available ActionsEach successful request consumes credits as outlined below.
list_agent_groupslist_chat_sessionsget_chat_reviewlist_tool_callslist_workflow_runsget_workflow_runlist_workflow_schedulesget_workflow_schedule
Details
Give your agents a memory of everything they have done. Pull up past chat conversations, review every tool your agents have run, and look back over finished and scheduled workflow runs, all on demand and in plain language. Ask "what did my agents work on this weekend?" or "why did that workflow fail?" and get a clear, sourced answer drawn straight from your own activity history. It is the easiest way to keep oversight of autonomous agents, debug a run that went sideways, put together an end-of-week summary, and keep a trustworthy record of what was done and when.
Workflows Using This Tool
Workflow
Saves ~2 hr
Design, build, test, and publish custom automation workflows on AgentPMT. Walk through the complete workflow creation process from idea to published skill: define what you want to automate, discover available tools from a catalog of 170+, design multi-step DAG graphs with tool nodes, prompt nodes, branching, loops, and human notifications, then test and iterate until the workflow runs correctly. Uses the AgentPMT Workflow Creator tool directly for tool discovery, workflow creation, verification, and publishing. Covers workflow architecture, node types, edge connections, industry tagging, versioning, and publishing. Ideal for no-code automation, business process automation, task chaining, AI agent orchestration, and building reusable skill chains.
Use Cases
Summarize what your agents did this week, Review a past chat conversation and the tool calls inside it, Audit tool-call history by tool, status, and date, Investigate why a workflow run failed, Check recent and upcoming scheduled workflow runs, Build an activity report for oversight, Trace a single tool's usage history, Keep a read-only audit trail of agent actions
Dynamic MCP Setup
Connect once through AgentPMT Dynamic MCP, then use approved tools from the same agent connection.
30 Second Setup
STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections.
npm install -g @agentpmt/mcp-routeragentpmt-setupHosted Streamable HTTPS
MCP endpoint for browser-based apps like ChatGPT, Claude, Grok, or any time you want a streamable connection with no local install.
https://api.agentpmt.com/mcpConfig Example
Use the hosted endpoint directly in clients that support remote MCP. Store your Bearer token in the client config or secret field.
{
"mcpServers": {
"agentpmt": {
"type": "streamable-http",
"url": "https://api.agentpmt.com/mcp",
"headers": {
"Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
"x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
}
}
}
}Need client videos, organization controls, audit details, and the full feature overview?
More About Dynamic MCPFrequently Asked Questions
How do I connect this tool to an external agent?
You can install the local MCP server by opening a terminal and running:
Install commands
npm install -g @agentpmt/mcp-router
agentpmt-setupThis will connect you to local agents like Claude Code, Windsurf, Grok Build, Cursor, etc.
Alternatively you can connect to the hosted version with this config block, no installation required:
Hosted MCP config
{
"mcpServers": {
"agentpmt": {
"type": "streamable-http",
"url": "https://api.agentpmt.com/mcp",
"headers": {
"Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
"x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
}
}
}
}View MCP Connection Instructions for more details.
How does an external agent use this tool?
After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent:
Agent prompt
Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get_instructions' so you know how to use the tool search interface. Then call action 'get_schema' with tool_id 6a3c7e39dd9737171d93cb19 ("AgentPMT Audit Logs"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it
The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT.








