Medium Risk

forge_generate

Generate an optimized GPU kernel from scratch based on a specification. Use this when you need to create a new high-performance kernel without existing PyTorch code. Forge will generate a PyTorch baseline first, then optimize it into Triton or CUDA. Requires authentication via forge_auth first. ...

High parameter count (10 properties)

Part of the Forge MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents use forge_generate to create or modify resources in Forge. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call forge_generate repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Forge.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

io-github-rightnow-ai-forge-mcp-server.yaml
tools:
  forge_generate:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Forge policy for all 7 tools.

Tool Name forge_generate
Category Write
MCP Server Forge MCP Server
Risk Level Medium

Agents calling write-class tools like forge_generate have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the forge_generate tool do? +

Generate an optimized GPU kernel from scratch based on a specification. Use this when you need to create a new high-performance kernel without existing PyTorch code. Forge will generate a PyTorch baseline first, then optimize it into Triton or CUDA. Requires authentication via forge_auth first. Cost: 1 credit per generation.. It is categorised as a Write tool in the Forge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on forge_generate? +

Add a rule in your Intercept YAML policy under the tools section for forge_generate. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Forge MCP server.

What risk level is forge_generate? +

forge_generate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit forge_generate? +

Yes. Add a rate_limit block to the forge_generate rule in your Intercept 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.

How do I block forge_generate completely? +

Set action: deny in the Intercept policy for forge_generate. 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.

What MCP server provides forge_generate? +

forge_generate is provided by the Forge MCP server (@rightnow/forge-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Forge

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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