Capture and route text input using ChurnFlow ADHD-friendly AI system
AI agents use capture to create or update resources in ChurnFlow MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ChurnFlow MCP Server environment.
This tool takes natural language input and creates new records in project trackers. It is a Write operation (creating data) with no indication of irreversible deletion or financial transactions. Severity is medium because an AI agent could create many unwanted entries across multiple trackers if misused, but the data is reversible.
From the tool's definition 'Capture and route text input' — creates new task/idea entries and routes them to project trackers
Documented attack patterns abuse exactly the kind of access capture gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ChurnFlow MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for capture:
{
"version": "1",
"default": "deny",
"tools": {
"capture": {
"limits": [
{
"counter": "capture_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}capture stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Capture and route text input using ChurnFlow ADHD-friendly AI system. It is categorised as a Write tool in the ChurnFlow MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ChurnFlow MCP Server MCP server in PolicyLayer and add a rule for capture: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ChurnFlow MCP Server. Nothing to install.
capture is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the capture rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for capture. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
capture is provided by the ChurnFlow MCP Server MCP server (jgsteeler/churnflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ChurnFlow MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
3 ChurnFlow MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.