How to Use the LangSmith (LLM Observability & Hub) MCP in Cline
Let Cline automatically trace, debug, and patch your LLM pipelines with live LangSmith telemetry.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LangSmith (LLM Observability & Hub) MCP to Cline
Create your Vinkius account to connect LangSmith (LLM Observability & Hub) to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Pinpoint execution failures with Cline
The `get_run` tool retrieves precise telemetry for a single LLM invocation run directly into Cline's context. When your autonomous coding agent is trying to fix a broken pipeline, it uses this MCP Server to inspect the exact variables and latencies of the failing step. It stops guessing and starts fixing based on actual production telemetry. By combining this with `list_runs`, Cline isolates the raw interactions containing prompts sent to and responses received from the AI models. Cline scans the list, identifies the high-latency or bad-output run, and pulls the details. It then modifies your local Python or TypeScript code to handle the edge case.
Audit prompt templates using Cline MCP Server
The `list_prompts` tool extracts prompt templates hosted in the LangChain Hub so Cline can inspect them for errors. If your application behavior shifts, Cline calls this tool to compare your local codebase against the active prompt versions stored in the cloud. It identifies discrepancies in variables or formatting instantly. Cline also uses `list_projects` to map out the boundaries of distinct AI pipelines currently monitored by LangSmith. This lets the agent verify that your local environment variables are pointing to the correct tracing project. You avoid the common headache of sending test traces to your production dashboard.
Run local evaluations against LangSmith datasets
The `list_datasets` tool lists all evaluation and fine-tuning datasets mapped in LangSmith to help Cline build test suites. When you ask Cline to optimize a prompt, it pulls the target dataset schema and writes local test scripts to run against those inputs. You get automated, data-driven prompt engineering without manual setup. If your pipeline relies on human feedback, Cline calls `list_annotation_queues` to inspect active human-in-the-loop annotation queues. This helps the agent understand which runs have been flagged for review and why. Cline can then suggest architectural changes to address common human-flagged issues.
Set up LangSmith (LLM Observability & Hub) MCP in Cline
Prerequisites
- VS Code with Cline extension installed
- Active Vinkius subscription with a valid endpoint token
- 1
Open Cline MCP settings
Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
- 2
Add a remote server
Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type
langsmith-llm-observability-hub-mcp. In the URL field, paste your Vinkius endpoint:https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com. - 3
Enable the server
After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
- 4
Start using tools
Return to the Cline chat and ask: "Check my latest LangSmith (LLM Observability & Hub) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.
{
"mcpServers": {
"langsmith-llm-observability-hub-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LangSmith. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about LangSmith (LLM Observability & Hub) MCP in Cline
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the LangSmith (LLM Observability & Hub) MCP today
We host it, we monitor it, we maintain it. You just paste one token.
