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Connect to Claude, VAPI, Retell — via MCP

The Model Context Protocol gives any AI platform access to Chanl's agents, tools, memory, and knowledge base. One protocol, every platform.

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MCP Protocol

One protocol,
every platform.

MCP Protocol

Standard Model Context Protocol support. Connect any MCP-compatible AI tool to your Chanl workspace with a single URL.

Any-Platform Connection

Works with Claude Desktop, Cursor, VAPI, Retell, and any platform that supports MCP. No custom integration needed.

Live Tool Access

Your agents' tools, memory, and knowledge base are accessible in real-time via MCP. Build once, connect everywhere.

Claude Desktop Integration

Connect Claude to your agents and tools

Add your Chanl workspace to Claude Desktop as an MCP server. Claude gets access to your agents, tools, knowledge base, and customer data — instantly.

  • One-click setup with Claude Desktop
  • Access all agent tools and knowledge bases
  • Customer data and memory available in Claude
  • Secure API key authentication
mcp-config.json
Live
{
"mcpServers":
{
"chanl":
{
"url": "https://app.chanl.ai/mcp",
"transport": "sse",
"apiKey": "sk-chanl-...a4f2"
}
}
}
Tools
12 connected
Memory
Active
Knowledge
3 sources
Platform Connections

VAPI, Retell, and beyond

Any voice AI platform that supports MCP can connect to Chanl. Your agents get persistent memory, tools, and knowledge — regardless of where they run.

  • VAPI and Retell native MCP support
  • Custom platform integration via SSE transport
  • Workspace-level access control
  • Per-agent tool and memory scoping

VAPI

Connected

Voice agent platform with full MCP tool access

Retell

Connected

Conversational AI with real-time memory sync

ElevenLabs

Pending

Voice synthesis with knowledge base integration

SSE Transport

Real-time, streaming protocol

Server-Sent Events transport for low-latency, real-time tool execution. Your agents get responses as they stream — no polling, no delays.

  • SSE-based streaming for real-time responses
  • Automatic reconnection and error handling
  • Multi-tenant workspace isolation
  • Health monitoring and uptime tracking
mcp-stream
[09:41:12]connectionTransport: SSE | Status: Connected
[09:41:13]tool_list12 tools registered
[09:41:14]tool_callmemory.search({ query: 'billing...' })
[09:41:15]tool_result{ matches: 3, relevance: 0.94 }
[09:41:16]tool_callknowledge.query({ topic: 'refund...' })
[09:41:17]tool_result{ documents: 2, confidence: 0.91 }
[09:41:18]heartbeatlatency: 12ms
>
“Only 18% of organizations have successfully deployed an AI agent in production. The gap isn't building — it's testing, observability, and trust.”

Gartner, 2025 — AI Agent Readiness Report