# deploy_model

Deploy a machine learning model

Agent View of the PolicyLayer registry record for `deploy_model`. HTML page: https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/deploy-model

## Facts

- Tool: `deploy_model`
- Server: Claude MCP Server Ecosystem (`coder-rl/claude_mcpserver_dev1`) — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1.md
- Homepage: https://github.com/Coder-RL/Claude_MCPServer_Dev1
- Risk category: Execute (High risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "deploy_model",
    "arguments": {}
  }
}
```

## Why deploy_model is rated High

Deployment is an Execute action—it runs/activates code and external operations in the infrastructure (Docker orchestration mentioned in server description). While not destructive by itself, deploying an incorrect or malicious model could compromise services, making this high-severity.

From the tool's own definition: "Tool name is 'deploy_model' with description 'Deploy a machine learning model'. Deployment is an operational action that executes and activates external systems/services."

## Use case

AI agents invoke deploy_model to trigger actions in Claude MCP Server Ecosystem. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Claude MCP Server Ecosystem:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "deploy_model": {
      "limits": [
        {
          "counter": "deploy_model_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Claude MCP Server Ecosystem (228)

- `delete_enhanced_memory` — Destructive — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/delete-enhanced-memory.md
- `delete_memory` — Destructive — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/delete-memory.md
- `revoke_session` — Destructive — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/revoke-session.md
- `undeploy_model` — Destructive — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/undeploy-model.md
- `adaptive_cross_attention` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/adaptive-cross-attention.md
- `adaptive_sparsity_tuning` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/adaptive-sparsity-tuning.md
- `authenticate` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/authenticate.md
- `benchmark_encoding_performance` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/benchmark-encoding-performance.md
- `build_documentation_project` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/build-documentation-project.md
- `compute_cross_attention` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/compute-cross-attention.md
- `create_neural_network` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/create-neural-network.md
- `create_security_scan` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/create-security-scan.md
- `deploy_plan` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/deploy-plan.md
- `derive_key` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/derive-key.md
- `execute_control_test` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-control-test.md
- `execute_orchestration` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-orchestration.md
- `execute_pipeline` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-pipeline.md
- `execute_security_scan` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-security-scan.md
- `execute_sparse_attention` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-sparse-attention.md
- `execute_transformer_block` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-transformer-block.md
- `execute_warehouse_query` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/execute-warehouse-query.md
- `generate_attention_pattern` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/generate-attention-pattern.md
- `generate_position_encodings` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/generate-position-encodings.md
- `hyperparameter_search` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/hyperparameter-search.md
- `initialize_cross_attention_session` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/initialize-cross-attention-session.md
- `optimize_architecture` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/optimize-architecture.md
- `optimize_attention_chunks` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/optimize-attention-chunks.md
- `optimize_cross_attention_fusion` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/optimize-cross-attention-fusion.md
- `optimize_gradient` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/optimize-gradient.md
- `optimize_model` — Execute — https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1/optimize-model.md
- …and 198 more: https://policylayer.com/tools/coder-rl-claude-mcpserver-dev1.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=coder-rl-claude-mcpserver-dev1 · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/coder-rl-claude-mcpserver-dev1