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Register, discover, rate, and manage AI agents and services locally.
The materials indicate this MCP tool is mainly for local agent/service discovery and management, with no declared secrets or remote endpoints, and no clear high-risk red flags. Its open-source MIT-licensed code lowers risk, but low community adoption, unknown maintenance, and inherent executable MCP behavior still warrant least-privilege use.
The materials explicitly state that no keys or environment variables are required, and no API keys, tokens, or account credentials are mentioned; based on the available information, credential exposure and abuse risk appears low.
No remote host is declared, and the description emphasizes registering, searching, rating, and managing agents/services in a local directory; the provided materials do not show user data being sent to external services.
The system checks indicate this tool has executes-code capability, meaning it runs code/processes locally as an MCP service; this is a standard capability for such tools and not high risk by itself, but its runtime environment and invocation permissions should be constrained.
The description says it is used to register, search, rate, and manage items in a local directory, so it likely reads and writes local directory data; the materials do not show broader filesystem or system-resource access beyond the stated purpose, but local data access should still be assumed.
The project is open source and MIT-licensed, making the code auditable, which is a meaningful risk-reducing factor; however, it comes from a third-party registry, has 0 stars, unknown maintenance status, and no README, so supply-chain maturity and maintenance signals are weak, and the source and dependencies should be reviewed first.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agent Directory MCP Server" yet — see the docs or source repo.
Please register a new AI agent in the Agent Directory named "Customer Support Assistant". Its functions include answering FAQs and checking order status. Add tags: customer support, ecommerce, auto-reply.
Returns the registration result for the new agent, including its name, capability summary, tags, and directory record status.
Find AI agents in the directory suitable for "document summarization" and "multilingual translation", then list the top three results ranked by rating.
Returns a filtered list of matching agents with their names, use cases, tags, and rating-based ranking.
List agents in the directory rated below 3 stars and not updated in the last 30 days, then submit a 5-star review for "Data Cleaning Assistant" with the comment "Fast responses and stable results."
Returns a cleanup list of low-performing agents and confirms the rating and review were successfully updated for the target agent.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Search the official MCP registry for servers, trust grades, stars, and install configs.
Add agentic tools with iterative reasoning and tool use to apps
Manage Git tasks, agent templates, and project utilities more efficiently.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Provides AI agents with local search, business context retrieval, and summarization prompts.