pino_http_middleware
Create pino-http middleware with request context propagation and custom serializers
This record as markdown: /tools/barnburner121-plugin-hub-mcp/pino-http-middleware.md
What pino_http_middleware does on Plugin Hub
AI agents use pino_http_middleware to create or update resources in Plugin Hub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Plugin Hub environment.
Why pino_http_middleware is rated Medium
An AI agent can call pino_http_middleware faster than any human can review: one bad instruction and it creates or modifies resources in Plugin Hub by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs pino_http_middleware safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Plugin Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pino_http_middleware, this is the rule to start with:
pino_http_middleware 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Plugin Hub, apply this rule, and every pino_http_middleware call is checked against it from then on.
Questions about pino_http_middleware
Create pino-http middleware with request context propagation and custom serializers. It is categorised as a Write tool in the Plugin Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Plugin Hub MCP server in PolicyLayer and add a rule for pino_http_middleware: 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 Plugin Hub. Nothing to install.
pino_http_middleware 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 pino_http_middleware 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 pino_http_middleware. 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.
pino_http_middleware is provided by the Plugin Hub MCP server (@barnburner121/plugin-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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