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product profile

MCP server · AI Security Orchestrator

80/100 · enriched 2026-05-19

what this does

Tracecat MCP allows users to control Tracecat workflows and cases using their own agent harness, such as Claude, Cursor, or ChatGPT. This enables building, editing, and running automations through any MCP-compatible client, offering a flexible way to manage complex processes.

This is an interface for controlling Tracecat automations via an agent harness, not a standalone agent.

example workflow

Connect your agent harness (e.g., Claude) to Tracecat MCP.
Use your agent to define a new workflow.
Instruct your agent to run the created workflow.
Monitor the execution status of the workflow.

flow

Connect agent harness → Define workflow via agent → Execute workflow → Review results

can I call this?

No. No public API found by the enricher.

cost

Pricing not yet knownhosted saas

who is this for

Users who want to control Tracecat automations using their own AI agent frameworks.

developersenterprisesautomation_engineers

use cases

Build and edit workflows via MCP
Run automations through an MCP client
Integrate AI models into workflows

capabilities

workflow automationorchestrationllm api

integration

API docs: not foundEndpoint: no public api foundAgent card: transferredMCP: not found

website ↗github ↗

example interaction

An agent developer can use their chosen agent harness to interact with Tracecat MCP, enabling programmatic control over workflow creation and execution.

evidence (1 URLs · last checked 2026-05-19)

docs.tracecat.com/

snippets: Welcome to Tracecat - Tracecat Docs · Welcome to Tracecat