Chainlit MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Chainlit through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Chainlit and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"chainlit": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Chainlit MCP Server
Connect your Chainlit Cloud projects to any AI agent and embrace a new paradigm of conversational observability. Analyze your AI app traffic directly from your terminal or chat.
Windsurf's Cascade agent chains multiple Chainlit tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Project Analytics — Trigger detailed data fetches mapping global traffic statistics, distinct user adoptions, and absolute utilization figures across your AI portfolio.
- Thread Introspection — Query explicit interaction boundaries isolating full chronological conversations from users securely and swiftly.
- Trace Logic Steps — Extrapolate internal logic jumps identifying explicit prompts, outputs, tool executions, and retrieval boundaries used per interaction.
- Qualitative Feedback — Automatically extract lists capturing precise thumbs up/down, implicit ratings, and explicit textual user reviews targeting your bot responses.
The Chainlit MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Chainlit to Windsurf via MCP
Follow these steps to integrate the Chainlit MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Chainlit
Open Cascade and ask: "Using Chainlit, help me...". 6 tools available
Why Use Windsurf with the Chainlit MCP Server
Windsurf provides unique advantages when paired with Chainlit through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Chainlit + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Chainlit MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Chainlit and generate models, types, or handlers based on real API responses
Live debugging: query Chainlit tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Chainlit and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Chainlit data with Cascade's code generation to scaffold entire features in minutes
Chainlit MCP Tools for Windsurf (6)
These 6 tools become available when you connect Chainlit to Windsurf via MCP:
get_stats
Retrieve explicit analytics statistics representing traffic boundaries and resource consumptions over native projects
get_thread
Retrieve the exact payload for a specific conversational thread locating exact node topologies
list_feedbacks
List absolute user review feedbacks rating explicitly conversational accuracy and value across deployments
list_projects
List explicit globally configured Chainlit Cloud projects managing independent app tracking spaces
list_steps
List raw programmatic interaction steps explicitly defining prompts and generations inside a single thread
list_threads
List conversational threads identifying user interaction boundaries inside a specific deployed project
Example Prompts for Chainlit in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Chainlit immediately.
"Retrieve the analytics stats of my currently enabled Chainlit cloud project targeting traffic."
"Search my cloud instance for the recent recorded chat interactions (threads) to fetch what clients asked today."
"Gather all negative feedbacks users submitted across this AI project."
Troubleshooting Chainlit MCP Server with Windsurf
Common issues when connecting Chainlit to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Chainlit + Windsurf FAQ
Common questions about integrating Chainlit MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Chainlit with your favorite client
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Connect Chainlit to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.