Connect models to LangSmith for observability and prompt data
Visit WebsiteWhat is LangSmith MCP?
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Key Features
Pricing Plans
Pricing checked Jul 21, 2026
Developer
$0 / seat per month
- Up to 5k base traces / mo
- 1 seat
- Community support
- Includes 5 LCU of Fleet usage / mo
- Includes 5 LCU & 1 LSU of Sandbox usage / mo (limited to 10 sandboxes)
Plus
$39 / seat per month
- Up to 10k base traces / mo
- Add unlimited seats at $39/seat/month
- Email support
- 1 free Serverless (Small) deployment included
- Includes 25 LCU of Fleet usage / mo
- Includes 5 LCU & 1 LSU of Sandbox usage / mo
- Access to Engine (metered in LCUs)
Enterprise
Custom pricing
- Custom trace volume
- Self-hosted or hybrid deployment options
- Custom SSO and Role-Based Access Control
- Support SLA
- Custom seats and workspaces
- Annual invoicing
Is LangSmith MCP worth the price?
The Developer free tier is generous for small projects, offering 5k traces and some Fleet/Sandbox usage at no cost.
The Plus tier at $39/seat/month is reasonably priced for teams needing more traces and support, though overage costs are not disclosed. Enterprise custom pricing likely suits large organizations with specific needs.
Best for developers and teams building LLM applications.
Hidden Costs & Gotchas
Overage charges for traces beyond tier limits
Additional seats at $39/seat/month
Fleet LCU overage fees not specified
Sandbox usage beyond included LCU/LSU
Enterprise may require annual minimum commitment
How LangSmith MCP Compares to Competitors
Compared to Datadog, LangSmith MCP is more specialized and cheaper per seat for LLM observability, but lacks broad infrastructure monitoring. Against open-source alternatives like Langfuse, LangSmith MCP offers managed support and integration with LangChain, though at a higher cost for larger trace volumes.
How LangSmith MCP's pricing compares
At $39/mo, LangSmith MCP is mid-range of its 5 direct competitors ($4 to $60/mo across the set).
Entry paid plan, monthly. Pricing checked Jul 21, 2026.
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Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.
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LangSmith MCP FAQ
How does LangSmith MCP help developers monitor AI model behavior?
How does LangSmith MCP compare to Langfuse in terms of observability integration?
What kind of users might find LangSmith MCP less suitable for their workflow?
Which teams benefit most from adopting LangSmith MCP?
How is LangSmith MCP priced?
Can LangSmith MCP pull prompt data from any model or only from LangSmith-tracked models?
Does LangSmith MCP require additional setup beyond installing the MCP server?
Which types of observability data can LangSmith MCP access?
Source: langchain.com