# LangSmith MCP Server

> Use this tool when you need to manage LangSmith resources through natural language interactions, enabling AI agents to create, edit, and retrieve traces, prompts, datasets, experiments, and billing information. It solves problems related to automated workflow management, data organization, and billing integration, providing a streamlined interface for AI-driven language model development. The LangSmith MCP Server accepts natural language inputs and returns relevant data outputs, making it ideal for use cases requiring efficient and automated LangSmith resource management.

Canonical page: https://skillsregistry.net/skills/amitrechavia-langsmith-mcp-server-js  
JSON: https://api.skillsregistry.net/v1/skills/amitrechavia-langsmith-mcp-server-js

## Description

TypeScript MCP server that enables AI agents to manage LangSmith traces, prompts, datasets, experiments, and billing through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ou52b08fa3)
- **Repository:** <https://github.com/amitrechavia/langsmith-mcp-server-js>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "amitrechavia-langsmith-mcp-server-js"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amitrechavia-langsmith-mcp-server-js` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amitrechavia-langsmith-mcp-server-js/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt