langsmith-mcp-server
MCP server for Langsmith SDK integration
Decision gist · record as of 2026-08-14
Yes, if you actively use LangSmith and need MCP integration. The package is low-friction to install and permissively licensed. However, the archived repository and abandoned maintenance status mean no active bug fixes or feature development—use it for stable, read-heavy workflows (querying history, datasets, runs) rather than as a foundation for custom extensions. If you need a hosted solution, the Render instance is available but its long-term availability is not guaranteed.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- LangSmith API key and workspace ID must be provided via environment variables.
- MCP client must support HTTP-streamable or subprocess-based server transport.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for most deployment scenarios.
last release 2026-02-25 (170 days) · last repo commit 2026-08-11 · 131 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 108,107 downloads/mo, #12,578 on PyPI
Alternatives
Verify before relying
# Install from PyPI
pip install langsmith-mcp-server
# Add to MCP client config (e.g., Cursor mcp.json)
{
"mcpServers": {
"LangSmith MCP": {
"command": "uvx",
"args": ["langsmith-mcp-server"],
"env": {
"LANGSMITH_API_KEY": "your_api_key",
"LANGSMITH_WORKSPACE_ID": "your_workspace_id"
}
}
}
}- Whether the hosted instance at langsmith-mcp-server.onrender.com remains operational and reliable for production use.
- Current state of the archived repository and whether critical bugs or security issues are being addressed.
What it is and what it does
This package implements a Model Context Protocol (MCP) server that bridges language models to LangSmith, an observability platform for LLM applications. It exposes tools for querying conversation threads, managing prompts, fetching execution traces and runs, accessing datasets and experiments, and retrieving billing metrics—all through a standardized MCP interface that LLM clients can call. The server can run locally (via PyPI or from source) or be accessed as a hosted HTTP endpoint without local installation.
The package depends on fastmcp, langsmith, langchain-core, and uvicorn to handle MCP protocol transport, LangSmith API communication, and async HTTP serving. It requires Python 3.11 or later. While the repository is archived and no longer actively maintained, the package remains functional for integrating LangSmith data into MCP-compatible clients like Cursor or Claude Desktop.
Use it for
- Query conversation history from LangSmith threads within an MCP client to provide context to language models.
- Retrieve and manage prompts stored in LangSmith workspaces programmatically through MCP tool calls.
- Fetch execution traces and runs from LangSmith projects to analyze LLM application behavior in real time.
- List and read datasets and examples from LangSmith for evaluation and testing workflows.
- Access experiment results and metrics (latency, cost, feedback) for dataset-based evaluations.
- Monitor organization billing usage and trace counts across workspaces via MCP queries.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you actively use LangSmith and need MCP integration.
The package is low-friction to install and permissively licensed. However, the archived repository and abandoned maintenance status mean no active bug fixes or feature development—use it for stable, read-heavy workflows (querying history, datasets, runs) rather than as a foundation for custom extensions. If you need a hosted solution, the Render instance is available but its long-term availability is not guaranteed.
Install
langsmith-mcp-server on PyPI
Before you install
Low install friction with a pure-Python wheel and four runtime dependencies. However, the repository is archived and marked abandoned as of the latest commit, signaling no active maintenance despite recent release activity.
Requires Python 3.11 or later. LangSmith API key and workspace ID must be provided via environment variables. MCP client must support HTTP-streamable or subprocess-based server transport.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for most deployment scenarios.
Quickstart
# Install from PyPI
pip install langsmith-mcp-server
# Add to MCP client config (e.g., Cursor mcp.json)
{
"mcpServers": {
"LangSmith MCP": {
"command": "uvx",
"args": ["langsmith-mcp-server"],
"env": {
"LANGSMITH_API_KEY": "your_api_key",
"LANGSMITH_WORKSPACE_ID": "your_workspace_id"
}
}
}
}Verify before relying
- Whether the hosted instance at langsmith-mcp-server.onrender.com remains operational and reliable for production use.
- Current state of the archived repository and whether critical bugs or security issues are being addressed.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesfastmcplangsmithlangchain-coreuvicorn |
| Maintenance | Abandoned 170 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 108,107 / month, #12,578 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: langsmith_mcp_server-0.1.1-py3-none-any.whl
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