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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LangSmith with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Monitor LLM apps via LangSmith. track traces, audit prompt templates, and manage evaluation datasets.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 6 capabilities

The complete LangSmith capability set.

These are the exact actions your AI can choose when you ask it to work with LangSmith.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through LangSmith.

  1. 01

    List annotation queues

    List active human-in-the-loop annotation queues

  2. 02

    List datasets

    List all evaluation and fine-tuning datasets mapped in LangSmith

  3. 03

    List prompts

    Extract prompt templates hosted in the LangChain Hub

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through LangSmith.

  1. 04

    List runs

    Isolates the raw interactions containing prompts sent to and responses received from the AI models. List explicit LLM invocation runs within a specific project

  2. 05

    Get run

    Get precise telemetry for a single LLM invocation run

  3. 06

    List projects

    Maps out the boundaries of distinct AI pipelines currently monitored by LangSmith. List all active LangSmith tracing projects/sessions

Observed, not estimated

852ms average. Fast in production.

LangSmith is checked daily against the live service.

Daily averagePeak 913ms
Aug 20Today
Fastest day
712ms
Slowest day
913ms
14-day trend
Slowing+17%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LangSmith, so you can see the experience inside your AI.

It does not authenticate your account with LangSmith. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LangSmith Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ixIJrwVWDWlC1bEOf4IyffAPgAEw302Ns6BE1oLo/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LangSmith capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "langsmith-llm-observability-hub-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ixIJrwVWDWlC1bEOf4IyffAPgAEw302Ns6BE1oLo/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions LangSmith owners ask.

  • 01

    Can I see the token usage for a specific LLM run through my agent?

    Yes. Use the get_run_telemetry capability with a specific Run ID. Your agent will retrieve the exact token count (prompt + completion) and latency metrics calculated by LangSmith for that interaction.

  • 02

    How do I fetch a prompt template from the LangChain Hub using natural language?

    The list_prompts capability allows your agent to navigate your hosted Hub repository. You can ask your agent to find a specific prompt by name to inspect its instruction text, variables, and version history.

  • 03

    Can my agent check the status of human annotation queues?

    Absolutely. Use the list_annotation_queues capability to retrieve all active queues where human feedback is being collected. Your agent can report on the number of pending traces and general alignment scores established by your reviewers.

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