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LangSmith (MCP Server) — MCP Servers

Unified observability and evaluation platform for AI apps with an MCP server for history and prompt…

Quick Info

Category
developer-tools

Tags

LLM monitoring
prompt engineering
observability
evaluation
self-hosting
mcp

Overview

LangSmith is a product by LangChain that provides teams with tools to debug, evaluate, and monitor the performance of AI applications — including agents built with or without the LangChain framework. It offers tracing of application behavior, evaluation with human feedback or automated “LLM-as-judge”, prompt testing/versioning, dashboarding, and alerting. It supports features like self-hosting for enterprises, controlling where data is stored, and monitoring business-relevant metrics. The “LangSmith MCP Server” is a specific component under active development: a Model Context Protocol (MCP) server that connects language models with the LangSmith platform to fetch conversation history, manage prompts, and integrate analytics. It allows MCP-compatible clients to interact with LangSmith for getting prompt templates, thread histories, datasets, and examples.

Key Features

Tracing and detailed observability of LLM/agent runs
Automated and human-in-the-loop evaluations
Prompt engineering with versioning and testing
Dashboards and monitoring for latency, cost, and quality
Self-hosting and hybrid deployment options
OpenTelemetry-compliant, API-first platform
MCP server for conversation history, prompts, search, and analytics

Use Cases

Enhance development workflows and productivity
Integrate LangSmith (MCP Server) with Claude and other AI assistants
Streamline developer-tools processes using MCP protocol