@anycast/mcp
@anycast-net
About @anycast/mcp
Connect AI assistants to the Anycast network. Manage agents, send messages, control access policies, and monitor connectivity — all from Claude, Cursor, or any MCP-compatible client. 19 tools covering agent registration, P2P connections, groups, policies, and analytics.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"anycast": {
"command": "npx",
"args": [
"-y",
"@anycast/mcp"
],
"env": {
"ANYCAST_API_KEY": "your-api-key-here"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is @anycast/mcp?
@anycast/mcp connects AI assistants to the Anycast network, enabling management of agents, messaging, access policies, and connectivity monitoring from any MCP-compatible client such as Claude or Cursor.
How to use @anycast/mcp?
Install the server and configure it with your Anycast credentials. It exposes 19 tools covering agent registration, P2P connections, groups, policies, and analytics that can be invoked from your AI assistant.
Key features of @anycast/mcp
- Manage agents on the Anycast network
- Send and route messages via P2P connections
- Control access policies for agents
- Monitor network connectivity in real-time
- Manage groups and agent registration
- Analyze network data and patterns
Use cases of @anycast/mcp
- Automate agent registration and management from an AI chat
- Define and enforce access policies across agent groups
- Monitor connectivity status and troubleshoot network issues
- Send commands to remote agents via P2P connections
- Analyze agent network data for operational insights
FAQ from @anycast/mcp
—
More AI & Agents MCP servers
MCP Server - Remote MacOs Use
baryhuangThe only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App
Gemini MCP Server
aliargunMCP server implementation for Google's Gemini API
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
1MCP - One MCP Server for All
1mcp-appA unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Comments