New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

get_agent_registry

Curated roster of the AI platforms and agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. The roster is BACKEND-OWNED and changes: read the platforms[] array the response returns, and the status on each row (mcp_active / mcp_ready), ra...

SERVERMcp Server SOURCEhttps://dchub.cloud/mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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

Retrieves registry data about AI platforms and agent frameworks with no side effects.

From the tool's definition Curated roster, read the platforms[] array, status on each row

Questions about get_agent_registry

What does the get_agent_registry tool do? +

Curated roster of the AI platforms and agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. The roster is BACKEND-OWNED and changes: read the platforms[] array the response returns, and the status on each row (mcp_active / mcp_ready), rather than any list named in this sentence — an enumeration here goes stale the moment the backend adds or drops a platform, which is exactly how a client named here stopped appearing in the roster. ★ These statuses are CURATED EDITORIAL claims, not measurements: the response carries as_of null, so do NOT relay "MCP Active" as though it were a live connection count. Answers "which AI platforms can connect to DC Hub". 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 or feed 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.

How do I enforce a policy on get_agent_registry? +

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.

What risk level is get_agent_registry? +

get_agent_registry is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_agent_registry? +

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.

How do I block get_agent_registry completely? +

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.

What MCP server provides get_agent_registry? +

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.

More on Mcp Server, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Mcp Server's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.