get_agent_registry
Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platfo...
This record as markdown: /tools/cloud-dchub-mcp-server/get-agent-registry.md
What get_agent_registry does on Mcp Server
AI agents call get_agent_registry to retrieve information from Mcp Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_agent_registry is rated Low
This tool performs a straightforward data retrieval operation—it returns a curated index/registry of supported AI platforms and their integration details. There are no side effects, no data modification, no code execution, and no irreversible actions. It is purely informational/reference material lookup, fitting the Read category.
From the tool's definition Tool description states it provides a 'curated roster' and 'capability index' of AI platforms and agent frameworks with their recommended tools and authentication tiers.
Attacks that exploit this kind of access
The rule that runs get_agent_registry safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_agent_registry, this is the rule to start with:
get_agent_registry is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every get_agent_registry call is checked against it from then on.
Questions about get_agent_registry
Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platforms DC Hub supports and how to connect them. Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime / backup health (use get_backup_status). It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
Register the Mcp Server MCP server in PolicyLayer and add a rule for get_agent_registry: 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 Mcp Server. Nothing to install.
get_agent_registry is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_agent_registry 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 get_agent_registry. 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.
get_agent_registry is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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