How to Use the LangSmith MCP in VS Code Copilot

Q: How do we share the LangSmith MCP Server configuration in VS Code Copilot?

You save the server configuration to .vscode/mcp.json and commit it to your git repository. Every developer on the team gets access to the tools automatically.

Q: Does this LangSmith MCP Server work with VS Code Copilot's Agent mode?

Yes, Agent mode allows Copilot to call langsmithlistruns and analyze your trace history autonomously. This helps you identify recurring patterns of failure.

Q: How do I view latency metrics for my projects?

You can call langsmithlistprojects to get a overview of median latency. The results help you track performance trends across different environments.

Share LangSmith observability across your team inside VS Code Copilot with a committed MCP Server config.

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Connect LangSmith MCP to VS Code Copilot

Create your Vinkius account to connect LangSmith to VS Code Copilot 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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Setup LangSmith with VS Code Copilot

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Share LangSmith Projects in VS Code Copilot

`langsmith_list_projects` lets your entire engineering team monitor run counts and latency trends from a shared MCP configuration. Committing the configuration file ensures everyone uses the same telemetry endpoints. Your agent pulls project-level metrics during collaborative debugging sessions.

Analyze Production Runs in Copilot Chat

`langsmith_list_runs` queries your active workspace to retrieve recent trace statuses and token usage. Your VS Code Copilot agent identifies which production steps are consuming the most resources. Developers can spot anomalies without leaving their primary coding environment.

Retrieve Detailed Traces via VS Code Copilot

`langsmith_get_run` fetches the complete execution JSON for any specific run ID. Your agent uses this data to explain exactly why a chain failed or returned a bad response. Having this direct link inside your editor eliminates manual copying and pasting of trace data.

Setup guide

Set up LangSmith MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the LangSmith MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the LangSmith tools listed. Try asking: "List my recent LangSmith transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "langsmith-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LangSmith. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about LangSmith MCP in VS Code Copilot

You save the server configuration to `.vscode/mcp.json` and commit it to your git repository. Every developer on the team gets access to the tools automatically.

Yes, you can ask your agent to retrieve any run by passing its ID to `langsmith_get_run`. The agent will display the timing and token details in the chat window.

Yes, Agent mode allows Copilot to call `langsmith_list_runs` and analyze your trace history autonomously. This helps you identify recurring patterns of failure.

You can call `langsmith_list_projects` to get a overview of median latency. The results help you track performance trends across different environments.

The connection operates within an isolated local runtime, ensuring your API keys and execution traces are never stored outside your local machine or LangSmith's secure cloud.

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