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Manage Langfuse prompts, observability, and metrics through natural language workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@jurislm/langfuse-mcp" yet — see the docs or source repo.
List the most active prompts in Langfuse and summarize the last 7 days of volume, error rate, and latency changes, highlighting anomalies.
A list of prompts with a 7-day observability summary, including anomalous trends and high-risk prompts.
Find the system prompt currently used by the support bot in Langfuse, create a new version, make the tone more concise and professional, and keep the original version notes.
A new prompt version with the requested edits, plus version details and preserved historical notes.
Summarize key Langfuse instance- and organization-level metrics, including request volume, success rate, and cost changes over the last 30 days, and identify teams or projects that need attention.
An overview of instance and organization metrics, cost and quality trends, and recommendations on which teams or projects to prioritize.
Monitor AI systems, traces, and quality metrics with Langfuse observability.
Access and manage Langfuse prompts through MCP for faster prompt workflows.
Manage LangSmith traces, prompts, datasets, experiments, and billing with natural language.
Build, debug, and manage software tasks with natural language across LLMs.
Enable AI code navigation and editing across languages through LSP-backed tools.
Create and run custom multi-language tools dynamically for MCP clients.