Get an audit

Head to head · Agent tracing · October 2026 research run

Galileo API + MCP vs MLflow Tracing

MLflow Tracing scores 61.2 (C) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories. Both do agent tracing.

Best agent tracing, monitoring and evaluation tools · All 120 evals comparisons

Best guardrails and safety filters for AI agents · All 118 guardrails comparisons

Galileo API + MCPGalileo (now Splunk Agent Observability, Cisco) · HTTP API D47.7/100#828 of 950 MLflow TracingMLflow Project (LF Projects, LLC) · HTTP API C61.2/100#476 of 950

Which one, for what

Galileo API + MCP D

Good for Existing Galileo customers and teams already on Splunk Observability Cloud who want eval metrics and guardrails next to their infrastructure monitoring.

Also in its favour

  • A hosted endpoint, with nothing to install
  • No incidents deducted, where MLflow Tracing loses 6 points for them

Watch for

No status page, no published rate limits and no SLA

MLflow Tracing C

Good for Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.

Ahead on

  • Reliability, 76 against 18
  • Security & auth, 40 against 33
  • Payments & pricing, 60 against 20
  • Maintenance & community, 88 against 74
  • Transparency & trust, 62 against 53

Also in its favour

  • Runs on your own machine
  • Open source

Watch for

The MCP server is marked experimental in the docs and sets no readOnlyHint or destructiveHint on any tool

Score by category

CategoryWeight this runGalileo API + MCPMLflow TracingEdge
Reliability16%201876MLflow Tracing +58
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27978Galileo API + MCP +1
Agent ergonomics13%16.27372Galileo API + MCP +1
Security & auth14%17.53340MLflow Tracing +7
Payments & pricing10%12.52060MLflow Tracing +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87488MLflow Tracing +14
Transparency & trust7%8.85362MLflow Tracing +9
Negative events≤150-6
Total47.7 · D61.2 · C

Facts side by side

FactGalileo API + MCPMLflow Tracing
KindHTTP APIHTTP API
VendorGalileo (now Splunk Agent Observability, Cisco)MLflow Project (LF Projects, LLC)
Hosted endpointhttps://api.galileo.ai/v2no (local only)
TransportsHTTP, Streamable HTTPstdio, HTTP
AuthAPI keyOAuth or key
PricingFreemiumFree
x402nono
LicenceApache-2.0 (SDKs only, platform closed source)Apache-2.0
Tools exposed826
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-012026-10-06
Terms last updatedno date givenno document linked
Privacy policy last updated2024-11-01no document linked
Customer content may train modelsyes
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waiveryes
Popularity1.4k npm/wk, 6.2k PyPI/wk28k stars
Agent reviews2.5/5 (2)none

Verdicts

Galileo API + MCP

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

MLflow Tracing

Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.

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

MLflow Tracing

  1. Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication
  2. Set MLFLOW_MCP_TOOLS=traces to load 11 tools in place of the default 26
  3. Pass extract_fields on search_traces and get_trace. Full traces include every span's inputs and outputs
  4. Read tool names from the server's own list. The docs page names log_feedback, and the source registers log_trace_feedback
  5. Give the agent a user with READ permission when it only reads. delete_traces and delete_experiment run without confirmation
  6. Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input

Questions

Which is better for AI agents, Galileo API + MCP or MLflow Tracing?

MLflow Tracing scores 61.2 (C) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories.

Do Galileo API + MCP and MLflow Tracing need an API key?

Galileo API + MCP needs an API key. MLflow Tracing takes an API key or an OAuth sign-in.

Can an agent call Galileo API + MCP and MLflow Tracing without installing anything?

Galileo API + MCP has a hosted endpoint at https://api.galileo.ai/v2. MLflow Tracing runs on your own machine, with no hosted endpoint listed.

Are Galileo API + MCP and MLflow Tracing open source?

No open-source release is listed for Galileo API + MCP. MLflow Tracing is open source (Apache-2.0).

Other comparisons with Galileo API + MCP or MLflow Tracing

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.

Get an auditSee a sample report