LangSmith (LLM Observability & Hub) MCP Server for Claude Code 6 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add LangSmith (LLM Observability & Hub) as an MCP server in one command and Claude Code will discover every tool at runtime — ideal for automation pipelines, CI/CD integration, and headless workflows via the Vinkius.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install LangSmith (LLM Observability & Hub) and 2,500+ MCP Servers from a single visual interface.
# Your Vinkius token — get it at cloud.vinkius.com
claude mcp add langsmith-llm-observability-hub --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About LangSmith (LLM Observability & Hub) MCP Server
Connect your LangSmith account to any AI agent and take full control of your LLM observability, tracing, and prompt management through natural conversation.
Claude Code registers LangSmith (LLM Observability & Hub) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 6 tools at runtime and can call them headlessly — ideal for CI/CD pipelines, cron jobs, and automated workflows where LangSmith (LLM Observability & Hub) data drives decisions without human intervention.
What you can do
- Trace Orchestration — List active tracing projects and retrieve detailed execution logs for specific LLM invocation runs directly from your agent
- Performance Telemetry — Extract precise metrics including token consumption, prompt latency, and exact error strings from your AI pipelines
- Prompt Hub Access — Navigate and retrieve managed prompt templates, variable definitions, and version histories hosted in the LangChain Hub
- Evaluation Datasets — Enumerate curated 'golden' datasets used for automated evaluation of prompt logic or few-shot injection models
- Human-in-the-Loop Audit — Monitor active annotation queues where human reviewers assess the alignment, accuracy, and safety of generated LLM traces
- Agentic Step Analysis — Deep-dive into multi-turn agentic workflows to understand nested tool calls and internal reasoning paths securely
The LangSmith (LLM Observability & Hub) MCP Server exposes 6 tools through the Vinkius. Connect it to Claude Code 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 (LLM Observability & Hub) to Claude Code via MCP
Follow these steps to integrate the LangSmith (LLM Observability & Hub) MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using LangSmith (LLM Observability & Hub)
Ask Claude: "Using LangSmith (LLM Observability & Hub), show me..." — 6 tools are ready
Why Use Claude Code with the LangSmith (LLM Observability & Hub) MCP Server
Claude Code provides unique advantages when paired with LangSmith (LLM Observability & Hub) through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly — no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using LangSmith (LLM Observability & Hub) tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
LangSmith (LLM Observability & Hub) + Claude Code Use Cases
Practical scenarios where Claude Code combined with the LangSmith (LLM Observability & Hub) MCP Server delivers measurable value.
CI/CD integration: embed LangSmith (LLM Observability & Hub) tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query LangSmith (LLM Observability & Hub) nightly and generate reports without human intervention
Shell scripting: pipe LangSmith (LLM Observability & Hub) outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query LangSmith (LLM Observability & Hub) status endpoints and alert on anomalies
LangSmith (LLM Observability & Hub) MCP Tools for Claude Code (6)
These 6 tools become available when you connect LangSmith (LLM Observability & Hub) to Claude Code via MCP:
get_run
Get precise telemetry for a single LLM invocation run
list_annotation_queues
List active human-in-the-loop annotation queues
list_datasets
List all evaluation and fine-tuning datasets mapped in LangSmith
list_projects
Maps out the boundaries of distinct AI pipelines currently monitored by LangSmith. List all active LangSmith tracing projects/sessions
list_prompts
Extract prompt templates hosted in the LangChain Hub
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
Example Prompts for LangSmith (LLM Observability & Hub) in Claude Code
Ready-to-use prompts you can give your Claude Code agent to start working with LangSmith (LLM Observability & Hub) immediately.
"List all active tracing projects in LangSmith"
"Show me the telemetry for the last run in the 'Production-Bot-V2' project"
"List all prompts hosted in our Hub repository"
Troubleshooting LangSmith (LLM Observability & Hub) MCP Server with Claude Code
Common issues when connecting LangSmith (LLM Observability & Hub) to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
LangSmith (LLM Observability & Hub) + Claude Code FAQ
Common questions about integrating LangSmith (LLM Observability & Hub) MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect LangSmith (LLM Observability & Hub) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
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 (LLM Observability & Hub) to Claude Code
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.