Langfuse MCP vs Langfuse MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Langfuse MCP vs Langfuse MCP
In-depth architectural comparison of the Langfuse MCP and Langfuse MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Langfuse MCP
Monitoring · Local stdio
Quality: 64/100 (Good) | Auth: API Key required
Langfuse MCP
Monitoring · Local stdio
Quality: 57/100 (Good) | Auth: API Key required
Verdict Summary: Choose Langfuse MCP if you need specialized Monitoring tools running via a local process. Choose Langfuse MCP if your workspace requires Monitoring integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Langfuse MCP when:
You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_HOST, LANGFUSE_MCP_READ_ONLY.
Langfuse MCP is categorized under Monitoring and uses a local stdio subprocess. In contrast, Langfuse MCP belongs to Monitoring using local stdio subprocess. Select Langfuse MCP when you need capabilities focused on monitoring and Langfuse MCP when you require tools for monitoring.
List all datasets in the project with pagination.
Returns metadata about datasets including name, description, item count, and timestamps.
Args:
ctx: Context object containing lifespan context with Langfuse client
page: Page number for pagination (starts at 1)
limit: Maximum items per page (max 100)
Returns:
A dictionary containing:
- data: List of dataset metadata objects
- metadata: Pagination info (page, limit, total)
get_dataset
Get a specific dataset by name.
Retrieves dataset details including metadata and item count.
Args:
ctx: Context object containing lifespan context with Langfuse client
name: The name of the dataset to fetch
Returns:
A dictionary containing dataset details:
- id: Unique dataset identifier
- name: Dataset name
- description: Dataset description
- metadata: Custom metadata
- items: List of dataset items (if included by the API)
- runs: List of dataset runs (if included by the API)
+36 more tools listed on main page
Langfuse MCP Tools (27)
listTraces
List traces with filters. Returns summary metadata.
getTrace
Fetch a single trace by id including the full observation tree.
listObservations
List spans, generations, and events with filters.
getObservation
Fetch a single observation by id.
listSessions
List sessions within a time range.
getSession
Fetch a session by id, including its traces.
listScores
List scores with filters.
getScore
Fetch a single score by id.
listScoreConfigs
List score configurations (definitions, ranges, categories).
getScoreConfig
Fetch a score configuration by id.
listPrompts
List prompt definitions, optionally filtered by name, label, or tag.
getPrompt
Fetch a prompt by name, optionally pinned to a specific version or label.