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Connect LangSmith to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get full visibility into your agent's execution traces and performance.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through LangSmith.

  1. 01

    Langsmith list projects

    This capability pulls all tracing projects from your LangSmith account. It returns aggregate data like total run counts, median latency, and feedback scores for each project.

  2. 02

    Langsmith get run

    This capability retrieves the full execution trace for a specific run ID. Use it to inspect the exact inputs, outputs, and feedback associated with a single LLM call or agent action.

  3. 03

    Langsmith list runs

    This capability lists recent traces within a specific project. It provides a breakdown of run names, types, status, token usage, and timing for recent executions.

Real work

What teams actually run

01

Debugging Agent Failures

When an agent fails a task, you ask it to fetch the run details to see which capability timed out or returned an error.

02

Latency Optimization

You ask your agent to compare the median latency of different projects to find bottlenecks in your chains.

03

Cost Management

You have your agent list recent runs to check the token consumption of specific LLM calls.

04

Production Monitoring

You use the agent to check the status and success rates of your production-level tracing projects.

Automate a task

Put LangSmith to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

LangSmith works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put LangSmith to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

899ms average. Fast in production.

LangSmith is checked daily against the live service.

Daily averagePeak 1056ms
Oct 3Today
Fastest day
726ms
Slowest day
1056ms
14-day trend
Slowing+35%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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_JBueIzhraYvzf2S9aR0UP9Q6bjldfIBgmwxTvRHt/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-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JBueIzhraYvzf2S9aR0UP9Q6bjldfIBgmwxTvRHt/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

Guided setup for Claude? Set up LangSmith in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LangSmith owners hand off.

This MCP is built for technical teams managing LLM-based applications in production or research environments.

  • 01

    AI Engineers

    They use the agent to monitor LLM calls, chains, and specific agent actions in real time.

  • 02

    ML Teams

    They hand off the task of tracking experiment performance and identifying model regressions to the agent.

  • 03

    DevOps

    They use the agent to watch for error rate increases, latency spikes, or cost anomalies in AI workloads.

FAQ

Questions LangSmith owners ask.

  • 01

    How much does LangSmith cost for traces?

    LangSmith offers 5,000 free traces per month when you use your own API key.

  • 02

    Which AI clients can use this MCP?

    This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 04

    Can I see the specific inputs sent to an LLM?

    Yes, the langsmith_get_run capability allows your agent to retrieve the full inputs and outputs for any specific run.

  • 05

    What kind of metrics can my agent access?

    Your agent can access total run counts, median latency, feedback scores, and token usage.

  • 06

    What is LangSmith and why do I need it?

    LangSmith is the 'Datadog for LLM applications'. Without observability, AI agents in production are black boxes. you can't see what they're doing, why they fail, or how much they cost. LangSmith traces every LLM call, chain execution, and capability use, giving you complete visibility into inputs, outputs, latency, token usage, and error rates.

  • 07

    Does LangSmith work only with LangChain?

    No! While LangSmith is built by the LangChain team and has native LangChain/LangGraph integration, it works with any LLM application. You can trace OpenAI, Anthropic, or any LLM provider directly using the REST API. It also integrates with CrewAI, AutoGen, and other frameworks.

  • 08

    How much does LangSmith cost?

    LangSmith offers a generous free tier with 5,000 traces per month. no credit card required. The Developer plan is $39/month with 50,000 traces. Enterprise plans include SSO, RBAC, dedicated support, and unlimited traces with volume discounts.

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