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How to Use the Chainlit MCP in Claude

Pull Chainlit observability data straight into Claude Desktop to audit chat threads and analyze model steps.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Chainlit MCP to Claude Desktop

Create your Vinkius account to connect Chainlit to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Claude Desktop MCP Server for LLM Observability

You can pull exact conversational node topologies directly into your chat interface using `get_thread`. Claude reads the raw programmatic interaction steps defining prompts and generations inside a single thread via `list_steps`. PMs and developers skip jumping between dashboards. Your agent grabs the exact payload for a specific thread, letting you inspect exactly what the model generated.

Track Project Usage and Metrics

Calling `list_projects` returns your globally configured Chainlit Cloud projects and their independent tracking spaces. Once connected, your MCP agent uses `get_stats` to pull traffic boundaries and resource consumption. Analyzing application usage happens right inside the chat window. You just ask for the numbers, and it fetches explicit analytics statistics without requiring you to open a separate browser tab.

Review User Feedback and Ratings

Fetching absolute user review ratings across deployments takes one command with `list_feedbacks`. The agent reads conversational accuracy and value scores assigned by actual users. Product teams need to know how users react to model outputs. Running `list_threads` identifies user interaction boundaries inside a specific deployed project, giving you the full context behind every positive or negative rating.

Setup guide

Set up Chainlit MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Chainlit MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

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 Desktop

Open your settings and navigate to Developer to edit your config file. You just paste the Vinkius endpoint URL and restart the application.
Yes, the agent calls the stats tool to pull traffic and resource consumption data. You get the raw numbers directly in your conversation.
Custom Connectors let you plug the remote Vinkius URL right into the browser client. You navigate to Settings, select Integrations, and paste the endpoint to start analyzing threads.
Your MCP tools run a command to extract the prompts and generations for a specific thread. The raw interaction data appears immediately in your chat window.
Every request runs inside an ephemeral V8 Isolate Sandbox. Vinkius handles the authentication token securely, ensuring your raw programmatic interaction steps and user ratings never leak across sessions.

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.

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