LangSmith MCP Server for Windsurf 3 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect LangSmith through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install LangSmith and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"langsmith": {
"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 LangSmith MCP Server
Connect your AI agent to LangSmith — the observability platform from the LangChain team that gives you complete visibility into your LLM applications.
Windsurf's Cascade agent chains multiple LangSmith tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 3 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- List Projects — View all tracing projects with aggregate metrics: total runs, median latency, feedback scores, and creation dates
- List Runs — Browse recent traces in any project. See run names, types (LLM, chain, tool), status (success/error), token usage, and timing
- Run Details — Deep-dive into any specific run to see its full execution trace, inputs, outputs, and associated feedback
The LangSmith MCP Server exposes 3 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 LangSmith to Windsurf via MCP
Follow these steps to integrate the LangSmith 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 LangSmith
Open Cascade and ask: "Using LangSmith, help me...". 3 tools available
Why Use Windsurf with the LangSmith MCP Server
Windsurf provides unique advantages when paired with LangSmith 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 3 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
LangSmith + Windsurf Use Cases
Practical scenarios where Windsurf combined with the LangSmith MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from LangSmith and generate models, types, or handlers based on real API responses
Live debugging: query LangSmith tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from LangSmith and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine LangSmith data with Cascade's code generation to scaffold entire features in minutes
LangSmith MCP Tools for Windsurf (3)
These 3 tools become available when you connect LangSmith to Windsurf via MCP:
langsmith_get_run
Useful for debugging specific LLM calls or agent actions. Get detailed information about a specific run/trace by its ID
langsmith_list_projects
Each project groups related traces together and shows aggregate metrics like total runs, median latency, and feedback counts. List all tracing projects in your LangSmith account with run counts, latency stats, and feedback metrics
langsmith_list_runs
Each run represents a single LLM call, chain execution, or agent action. Shows status (success/error), latency, and token consumption. List recent traces/runs in a specific LangSmith project. Shows run names, types, status, token usage, and timing
Example Prompts for LangSmith in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with LangSmith immediately.
"List all my LangSmith projects and show their metrics."
"Show me the last 5 runs in my production-agent project."
"Get details on the failed run a0b1c2."
Troubleshooting LangSmith MCP Server with Windsurf
Common issues when connecting LangSmith to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
LangSmith + Windsurf FAQ
Common questions about integrating LangSmith 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 LangSmith with your favorite client
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Connect LangSmith to Windsurf
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.