4,500+ servers built on MCP Fusion
Vinkius
Chainlit logo
Vinkius
Claude Code logo

How to Use the Chainlit MCP in Claude Code

Connect Chainlit to Claude Code for terminal-based observability.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Chainlit MCP on Cursor AI Code Editor MCP Client Chainlit MCP on Claude Desktop App MCP Integration Chainlit MCP on OpenAI Agents SDK MCP Compatible Chainlit MCP on Visual Studio Code MCP Extension Client Chainlit MCP on GitHub Copilot AI Agent MCP Integration Chainlit MCP on Google Gemini AI MCP Integration Chainlit MCP on Lovable AI Development MCP Client Chainlit MCP on Mistral AI Agents MCP Compatible Chainlit MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect Chainlit MCP to Claude Code

Create your Vinkius account to connect Chainlit 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.

GDPR Free for Subscribers

Claude Code MCP Server monitoring

Run `get_stats` to pipe traffic and resource consumption data directly into your terminal. It gives you immediate visibility into your project's performance. This is for when you need hard numbers in your shell. You can script these outputs into your own monitoring tools.

Automate thread reviews with Claude Code

Use `list_threads` to identify specific interactions for auditing. Claude Code processes the thread boundaries and lets you filter by project. This works great in a CI/CD pipeline or a quick shell script. It pulls the necessary data to verify your deployment status.

Extract interaction steps via Claude Code

Call `list_steps` to get the raw programmatic interactions from a thread. It provides the exact prompts and generation outputs for your logs. You can feed this into other command-line utilities to track accuracy. It gives you granular control over how you analyze your data.

Setup guide

Set up Chainlit 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. 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 user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see chainlit-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Chainlit transactions." It will automatically discover and invoke the available Chainlit tools.

Terminal
claude mcp add --transport http chainlit-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 Chainlit MCP in Claude Code

Execute the command `claude mcp add` followed by the server URL. The tool will be available for your scripts immediately.
Yes, use the `get_stats` tool in your terminal. It returns the traffic and resource data you need for reporting.
You can script thread audits to run during your deployment process. It fetches the data you need to ensure accuracy before pushing code.
Your sensitive conversational payloads are restricted to the local session. The Vinkius sandbox ensures that only your authenticated requests get through.
It provides project-level resource consumption and user feedback scores. You can pipe these outputs directly to other shell tools for analysis.

Start using the Chainlit MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for Chainlit. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.