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Manage agents, webhooks, and P2P connectivity on the Anycast network.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Anycast MCP Server" yet — see the docs or source repo.
List all agents on the Anycast network and summarize each agent's online status, last connection time, and current connection stats.
A list of agents with a summary of connection status, timestamps, and stats.
Create an access token for a new webhook integration and explain its purpose, permission scope, and next configuration steps.
Token creation results plus permission details and configuration guidance.
Inspect P2P connection stats on the Anycast network, identify nodes with high failure rates, and provide likely causes and troubleshooting suggestions.
A list of problematic nodes, key metrics, and actionable troubleshooting recommendations.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Create, sign, and enforce binding agent agreements with deadlines and penalties.
Turn existing APIs and databases into MCP tools for direct AI use.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Build AI agent workflows and automate tasks using MCP-connected services.