LangSmith MCP Server for Cursor 3 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"langsmith": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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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.
Cursor's Agent mode turns LangSmith into an in-editor superpower. Ask Cursor to generate code using live data from LangSmith and it fetches, processes, and writes — all in a single agentic loop. 3 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the LangSmith MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using LangSmith
Open Agent mode in chat and ask: "Using LangSmith, help me..." — 3 tools available
Why Use Cursor with the LangSmith MCP Server
Cursor AI Code Editor provides unique advantages when paired with LangSmith through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
LangSmith + Cursor Use Cases
Practical scenarios where Cursor combined with the LangSmith MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
LangSmith MCP Tools for Cursor (3)
These 3 tools become available when you connect LangSmith to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting LangSmith to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
LangSmith + Cursor FAQ
Common questions about integrating LangSmith MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect LangSmith with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LangSmith to Cursor
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
