$ loading_
Access live experiment data and crawler observation endpoints from Agent Observatory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agent Observatory MCP Server" yet — see the docs or source repo.
Use the Agent Observatory MCP Server to fetch the latest visit statistics and summarize the key metrics.
The output returns current visit statistics with a brief interpretation of the metrics.
Query the AI crawler information available in Agent Observatory and organize it into a list of visible fields.
The output provides an overview of AI crawler data and a structured list of available fields.
Use the self-classification endpoint in the Agent Observatory MCP Server and explain what classification results it returns.
The output returns the self-classification result and briefly explains the classification information.
Researchers can use this tool to read live experiment data, such as visit statistics and crawler information, when analyzing an online experimental or observation environment. It is useful for quickly understanding current activity captured by the observatory.
Developers can connect this MCP tool to AI agents so they can discover and call Agent Observatory endpoints. This allows agents to interact directly with its passive research infrastructure.
Data analysts can call the self-classification endpoint to retrieve system-provided classification results for further organization or comparison. This is useful when initial analysis needs to be paired with observatory data.
It provides access to Agent Observatory's live experiment data, including visit statistics, AI crawler information, and self-classification endpoints. It also enables AI agents to discover and interact with the observatory's passive research infrastructure.
Based on the provided description, it can access visit statistics, AI crawler information, and self-classification-related endpoints. For detailed fields and response formats, see the source repository.
The provided material does not include installation steps, runtime requirements, or key requirements. For setup details and prerequisites, see the source repository.
Audit MCP servers and AI packages for security and supply chain risks.
Provides OWASP-oriented security capabilities for AI agents and MCP workflows.
Operate and test Android devices with AI agents and spreadsheet-driven runs.
Search AI agents and MCP servers by capability with pricing and liveness data.
Connect AI agents to multiple APIs through one unified MCP gateway.
Build, deploy, and operate secure, observable AI agent MCP infrastructure.