How to Use the Channels MCP in Claude Code
Connect Claude Code to your communication stack to monitor call metrics and manage contacts entirely from the command line.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Channels MCP to Claude Code
Create your Vinkius account to connect Channels to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate daily reporting scripts
Extracting daily metrics via `get_call_stats` eliminates the need for a separate Python environment. You can replace that boilerplate by piping commands directly to your agent in the terminal. It runs the stats tool and `list_calls` to aggregate yesterday's traffic data. The output gets formatted however your pipeline demands. Tell the agent to generate a CSV or a JSON blob, and it writes the file straight to disk. You drop this into a GitHub Action and let the MCP Server handle the data extraction.
Audit users and webhooks in Claude Code
Auditing access with `list_users` and `list_webhooks` shows exactly where your data flows. Your headless agent pulls the current roster and checks active endpoints. It flags any unauthorized addresses or dormant accounts in seconds. You do not need a browser to fix misconfigurations. If an old webhook points to a deprecated server, you just instruct the agent to remove it and register the new one using `create_webhook`. Everything happens over an SSH session.
Headless contact management
Applying batch updates to customer records via `update_contact` requires zero custom scripts. Instead of writing a one-off Python file, feed a CSV to your terminal agent. It iterates through the rows, executing the update tool for each entry to keep the system current. Handling deletions follows the same pattern. When a user requests an account purge, the agent finds their ID with `get_contact` and wipes the record using `delete_contact`. It integrates perfectly into your existing bash aliases.
Set up Channels MCP in Claude Code
Prerequisites
- Claude Code CLI installed (
npm install -g @anthropic-ai/claude-code) - Active Vinkius subscription with a valid endpoint token
- 1
Run the add command
Open your terminal and run the command shown on the right. Replace
[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. Use--scope userto make it available across all projects. - 2
Verify the connection
Start a Claude Code session and type
/mcpto list connected servers. You should seechannels-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest Channels transactions." It will automatically discover and invoke the available Channels tools.
claude mcp add --transport http channels-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Channels MCP in Claude Code
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Channels MCP today
We host it, we monitor it, we maintain it. You just paste one token.