--- title: "Langfuse data MCP: review, setup & limitations · Undominated.ai" canonical: https://undominated.ai/mcp-servers/langfuse/ description: "Inspect Langfuse observations, prompts and evaluation data, and manage supported project resources through its native MCP endpoint." --- # Langfuse data MCP: review, setup & limitations · Undominated.ai > Inspect Langfuse observations, prompts and evaluation data, and manage supported project resources through its native MCP endpoint. [← Explore all mcp servers](/mcp-servers/) OBSERVABILITY / Langfuse # Langfuse data MCP Inspect Langfuse observations, prompts and evaluation data, and manage supported project resources through its native MCP endpoint. See setup guidance ↓Original source ↗ SOURCE REVIEW Reviewed 2026-09-21 Evidence 2 linked sources Publisher Langfuse Licence Not established Read what was—and wasn’t—checked ↓ “Both read and write tools are available by default.” Langfuse · upstream description ↗ Our analysis follows below. 01 / THE REASONING ## Why this made the selection. - Brings prompts, observations, scores and evaluation datasets into an agent’s investigation. - Project-scoped API credentials and regional endpoints make the data boundary explicit. ### A good fit for - Investigate an LLM application trace or prompt. - Manage reviewed evaluation datasets, scores and annotation work. ### Weigh up before choosing - Read and write tools are available by default; use a client allowlist to restrict mutations. - This authenticated data server is different from Langfuse’s public documentation MCP. - Self-hosted deployments behind a reverse proxy or internal hostname may need to preserve the public Host header or configure LANGFUSE_MCP_ALLOWED_HOSTS; cloud endpoints differ by region. 02 / THE REVIEW RECORD ## What we actually inspected. Source review has boundaries. A clear record is more useful than a “safe” badge. ### Material inspected - Native Langfuse MCP setup guide and generated MCP Reference. ### Our findings - The server uses stateless Streamable HTTP with project API-key Basic authentication. - The current reference includes prompt, dataset, score and annotation mutations; it is broader than prompt retrieval. ### Not established by this review - Server launch, authenticated tool calls, and release-to-source parity were not tested. The review applies to the material and revision named here. A newer upstream release can change its behavior. 03 / PUT IT TO WORK ## Connect a server deliberately. Upstream setup instructions ↗ - Choose the documented cloud-region endpoint, or your self-hosted /api/public/mcp endpoint. - Create project API keys and configure Basic authentication using the official client instructions; keep secrets outside shared project files. - Apply a read-only tool allowlist if the agent should investigate without changing project data. ### Before you start - Langfuse project API keys. - A client supporting Streamable HTTP and the required authorization header. ### Compatibility Claude Code · Cursor · Codex · Streamable HTTP clients ### Transports Streamable HTTP ### Project API-key Basic authentication - Returns project prompts, observations, evaluation records and related data. - Can change supported prompt, dataset, scoring and annotation resources. ### Cost model Langfuse cloud plan or self-hosting costs apply; the connected model client is separate. 04 / FOLLOW THE EVIDENCE ## The source trail. Our notes are separate from the original resource. Check upstream before adopting a new version. - Langfuse data MCP setup and scope ↗ Checked 2026-09-21 https://langfuse.com/docs/api-and-data-platform/features/mcp-server Supports: summary, upstreamDescription, whySelected, bestFor, limitations, install, access, compatibility, transports, review - Langfuse generated MCP tool reference ↗ Checked 2026-09-21 https://mcp.reference.langfuse.com Supports: summary, whySelected, bestFor, access, limitations, review KEEP COMPARING ## Other approaches to consider. Related by category or shared topics. These are alternatives to inspect, not a measured quality order. [### Datadog MCP ↗ Query Datadog telemetry and operate permitted monitoring resources from an authenticated AI client.](/mcp-servers/datadog/)[### Grafana MCP Server ↗ Connects dashboards, logs, metrics and related Grafana data sources to an assistant, with separate controls for writes and query execution.](/mcp-servers/grafana/)[### Honeycomb MCP ↗ Explore production telemetry and save investigations in Honeycomb, with additional write scope for operational changes.](/mcp-servers/honeycomb/) [AI Tools ↗](/tools/)[Skills ↗](/skills/)[Agents ↗](/agents/)[MCP Servers ↗](/mcp-servers/)