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Discover open-source AI agents and get source-owned installation instructions through MCP.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2024-11-05
URL
Repository
AgentsKit-io/agentskit-registry
GitHub Stars
4
ChatGPT
–
Claude
–

TDQS

A4/5.0

Scored across 4 tools

Disambiguation4/5

The tools are mostly distinct: get_agent retrieves full details, get_install_command provides installation info, list_agents gives a simple listing, and search_agents offers advanced filtering. Some overlap exists between list_agents and search_agents (both can filter by category), but the descriptions clarify the different intentions.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case: get_agent, get_install_command, list_agents, search_agents. The naming is predictable and uniform.

Tool Count5/5

With 4 tools, the server is well-scoped for a read-only registry. Each tool serves a distinct purpose (listing, searching, fetching details, and getting installation instructions), and the count feels intentional without unnecessary additions.

Completeness5/5

The tool surface fully covers the apparent domain of browsing and retrieving agents from a registry. It supports discovery (list/search), detailed inspection (get_agent), and actionable usage (get_install_command). No obvious missing operations for a read-only registry.

Available Tools

4 tools
get_agentAInspect

Get the full bundle for one agent: metadata, env, skill, and source files.

Inputs: id (required).

get_install_commandAInspect

Get the exact install command and a usage snippet for an agent.

Inputs: id (required).

list_agentsAInspect

List all agents in the AgentsKit registry. Optionally filter by category.

Inputs: category.

search_agentsAInspect

Search agents by free-text query, category, tag, or runnable flag.

Inputs: tag, query, category, runnable.

Tool Schema Changelog

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