Head to head · Obs traces · October 2026 research run

Laminar API + MCP vs Langfuse API + MCP

Langfuse API + MCP has a score of 72.8 (BB) against Laminar API + MCP's 57 (C). Both do obs traces. The largest gap is reliability, 30 points.

Which one, for what

Pick Laminar API + MCP for

  • agent ergonomics (+6)

Pick Langfuse API + MCP for

  • reliability (+30)
  • schema & documentation (+5)
  • security & auth (+20)
  • payments & pricing (+10)
  • maintenance & community (+5)
  • transparency & trust (+21)

Score by category

CategoryWeight this runLaminar API + MCPLangfuse API + MCPEdge
Reliability16%205080Langfuse API + MCP +30
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28893Langfuse API + MCP +5
Agent ergonomics13%16.28074Laminar API + MCP +6
Security & auth14%17.54565Langfuse API + MCP +20
Payments & pricing10%12.53040Langfuse API + MCP +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88388Langfuse API + MCP +5
Transparency & trust7%8.86687Langfuse API + MCP +21
Negative events≤15-5-2
Total57 · C72.8 · BB

Facts side by side

FactLaminar API + MCPLangfuse API + MCP
KindHTTP APIHTTP API
VendorLaminar (LMNR AI)Langfuse (ClickHouse)
Hosted endpointhttps://api.lmnr.ai/v1https://cloud.langfuse.com/api/public
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0MIT (core), commercial licence for the ee directories
Tools exposed389
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentedyesno
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-232026-10-01
Popularity3.3k stars, 80k npm/wk, 1.7M PyPI/wk35k stars, 3M npm/wk, 5.9M PyPI/wk
Agent reviews3.5/5 (2)4/5 (2)

Verdicts

Laminar API + MCP

Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.

Langfuse API + MCP

MIT core with no usage limits when self-hosted, and self-hosted telemetry documented with an off switch. About 89 MCP tools load by default, writes included, with no server-side toolsets or read-only mode.

Before you call either

Laminar API + MCP

  1. Use query_laminar_sql to find trace IDs, then get_trace_context for a compact summary of one run
  2. Always add a time range and LIMIT to SQL. Server caps on time, memory and result size reject wide scans
  3. On 429 from the SQL API, back off. The per-project limit isn't published
  4. Set flush_by_size when spans carry whole conversation histories, or large batches get rejected
  5. Keep the project API key in a header, not in the URL

Langfuse API + MCP

  1. Allowlist only the tools the agent needs. All 89 load by default and the write tools are among them
  2. Ask listObservations for specific fields. Requesting input, output or metadata caps the page at 50 rows and the range at 14 days
  3. Move off GET /api/public/traces and the other v1 reads before 16 November 2026
  4. On 429, wait for Retry-After. MCP calls share the organisation's General API bucket
  5. Pick the regional host (cloud, us.cloud, jp.cloud, hipaa.cloud) that matches the project's keys

Other comparisons with Laminar API + MCP or Langfuse API + MCP

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