"what servers", "available", "list"?
list_servers / discover_tools
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Agent infrastructurePublic skills
MCP Registry Management
MCP control plane — register servers, discover tools, manage allow-lists, monitor health, restart unhealthy servers, and export inventory for the enterprise MCP fleet.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Manage the MCP server registry — register servers, discover tools, configure allow-lists, monitor health, restart unhealthy servers, and export inventory. Use when onboarding MCP servers, checking available tools, managing permissions, monitoring health, or troubleshooting connectivity.
Architecture
How MCP Registry Management guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
MCP Registry Management skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-registry
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"register", "onboard", "add server"?
register_server
"health", "status", "is it up"?
health_check / inspect_server
"allow", "permission", "enable tool"?
allow_list_tools
"restart", "fix", "unhealthy"?
restart_server
"disable", "remove"?
disable_server
"export", "inventory"?
export_inventory
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011-2 calls
Discover
List servers + available tools
022 calls
Register
Validate manifest → register
031-2 calls
Health Monitor
Check + restart if unhealthy
041 calls
Allow-List
Grant/revoke tool access
Tool boundary
The skill may use 10 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-registry retains responsibility for authentication, validation, and the connected system.
register_server
update_server
list_servers
inspect_server
discover_tools
allow_list_tools
health_check
restart_server
disable_server
export_inventory
Working rules
What the agent should do.
- Require manifest validation before registering
- Enforce allow-lists (no default access)
- Monitor health continuously
- Classify all tools by risk level before enabling
Operating boundaries
What the agent should avoid.
- Don't register servers without valid manifests
- Don't enable tools without risk classification
- Don't disable servers without checking dependents
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-registry, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-mcp-registry-management.git \
~/.skills/skills/mcp-registry-managementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("mcp-registry-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-registry server connected.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
Keep exploring
More in agent infrastructure.
A2A Agent OrchestrationMulti-agent coordination — discover capabilities, dispatch tasks, stream results, and manage remote agent lifecycles via the A2A protocol.10 allowed toolsACP Workspace ManagementCoding agent workspace control — start sessions, delegate tasks to coding agents, review proposed patches, manage permissions, and publish agents with governance gates.9 allowed toolsArtifact LifecycleGoverned artifact management — versioned storage, provenance tracking, integrity verification, derivation chains, and export packaging for build outputs and documents.10 allowed tools
Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 10
- References
- 3
- Revision
- 171f095d4137
- Updated
- May 31, 2026