How to Use the Chainlit MCP in Claude
Pull Chainlit observability data straight into Claude Desktop to audit chat threads and analyze model steps.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Chainlit MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Chainlit MCP today
We host it, we monitor it, we maintain it. You just paste one token.