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Why use LangSmith MCP Server with Cline?

Bring Llm Observability
to Cline

Create your Vinkius account to connect LangSmith to Cline and start using all 3 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

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Langsmith Get RunLangsmith List ProjectsLangsmith List Runs
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

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ChatGPTChatGPT
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GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
LangSmith

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Enter your LangSmith API key (5,000 free traces/month)
  3. Your agent can now monitor and debug LLM applications

Who is this for?

  • AI Engineers — monitor LLM calls, chains, and agent actions in production
  • ML Teams — track experiment performance, compare model outputs, and identify regressions
  • DevOps — set up alerts for error rates, latency spikes, and cost anomalies in AI workloads

Built-in capabilities (3)

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

Why Cline?

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including LangSmith tool calls without waiting for prompts between steps. Connect 3 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

  • Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

  • Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

  • Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

  • Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

See it in action

LangSmith in Cline

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run LangSmith with Vinkius?

The LangSmith connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 3 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

LangSmith
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect LangSmith using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

LangSmith and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect LangSmith to Cline through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures LangSmith for Cline

Every request between Cline and LangSmith is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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 tool use, giving you complete visibility into inputs, outputs, latency, token usage, and error rates.

02

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.

03

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.

04

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.

05

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.

06

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

07

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Click the server name to see logs. Verify the URL and token are correct.

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