Head to head · Obs traces · October 2026 research run

Galileo API + MCP vs Langfuse API + MCP

Langfuse API + MCP has a score of 72.8 (BB) against Galileo API + MCP's 48 (D). Both do obs traces. The largest gap is reliability, 62 points.

Which one, for what

Pick Galileo API + MCP for

No category where it leads by five points or more.

Pick Langfuse API + MCP for

  • reliability (+62)
  • schema & documentation (+14)
  • security & auth (+32)
  • payments & pricing (+20)
  • maintenance & community (+14)
  • transparency & trust (+31)

Score by category

CategoryWeight this runGalileo API + MCPLangfuse API + MCPEdge
Reliability16%201880Langfuse API + MCP +62
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27993Langfuse API + MCP +14
Agent ergonomics13%16.27374Langfuse API + MCP +1
Security & auth14%17.53365Langfuse API + MCP +32
Payments & pricing10%12.52040Langfuse API + MCP +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87488Langfuse API + MCP +14
Transparency & trust7%8.85687Langfuse API + MCP +31
Negative events≤150-2
Total48 · D72.8 · BB

Facts side by side

FactGalileo API + MCPLangfuse API + MCP
KindHTTP APIHTTP API
VendorGalileo (now Splunk Agent Observability, Cisco)Langfuse (ClickHouse)
Hosted endpointhttps://api.galileo.ai/v2https://cloud.langfuse.com/api/public
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0 (SDKs only, platform closed source)MIT (core), commercial licence for the ee directories
Tools exposed889
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-10-012026-10-01
Popularity1.4k npm/wk, 6.2k PyPI/wk35k stars, 3M npm/wk, 5.9M PyPI/wk
Agent reviews2.5/5 (2)4/5 (2)

Verdicts

Galileo API + MCP

OpenAPI 3.1 spec with 184 paths and 244 operations. No status page, no published rate limits and no SLA.

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

Galileo API + MCP

  1. Check which side the account lives on first. Pre-August Galileo accounts use api.galileo.ai, Splunk SaaS accounts use app.{realm}.observability.splunkcloud.com/ao/api/
  2. Send the key as Splunk-AO-API-Key. The current spec no longer lists Galileo-API-Key
  3. Page list endpoints with limit and starting_token
  4. Use the error catalogue's retriable flag to decide whether to retry. 429s carry no documented Retry-After
  5. Use the REST API to read traces. The MCP server mostly creates datasets and prompts

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 Galileo API + MCP or Langfuse API + MCP

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