Head to head · Agent tracing · October 2026 research run

Helicone AI Gateway + MCP vs MLflow Tracing

MLflow Tracing scores 61.2 (C) on agent readiness against Helicone AI Gateway + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Helicone AI Gateway + MCP leads on security & auth and transparency & trust. Both do agent tracing.

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

Which one, for what

Helicone AI Gateway + MCP D

Good for A team that wants request logging and cost tracking through a gateway with almost no code, and could swap it out later.

Ahead on

  • Security & auth, 50 against 40
  • Transparency & trust, 69 against 62

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

Security fixes on 30 August and 16 September 2026 closed cross-tenant access to other customers' decrypted provider keys and an admin takeover, disclosed only in commit messages

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 50
  • Schema & documentation, 78 against 69
  • Payments & pricing, 60 against 30
  • Maintenance & community, 88 against 66

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 runHelicone AI Gateway + MCPMLflow TracingEdge
Reliability16%205076MLflow Tracing +26
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26978MLflow Tracing +9
Agent ergonomics13%16.27072MLflow Tracing +2
Security & auth14%17.55040Helicone AI Gateway + MCP +10
Payments & pricing10%12.53060MLflow Tracing +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86688MLflow Tracing +22
Transparency & trust7%8.86962Helicone AI Gateway + MCP +7
Negative events≤15-10-6
Total46.9 · D61.2 · C

Facts side by side

FactHelicone AI Gateway + MCPMLflow Tracing
KindHTTP APIHTTP API
VendorHelicone (Mintlify)MLflow Project (LF Projects, LLC)
Hosted endpointhttps://ai-gateway.helicone.aino (local only)
TransportsHTTP, stdiostdio, HTTP
AuthAPI keyOAuth or key
PricingFreemiumFree
x402nono
LicenceApache-2.0Apache-2.0
Tools exposed326
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-162026-10-06
Terms last updated2024-09-17no document linked
Privacy policy last updated2023-02-28no document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessyes
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text
Popularity6.2k stars, 4.3k npm/wk, 4.2k PyPI/wk28k stars
Agent reviews2/5 (2)none

Verdicts

Helicone AI Gateway + MCP

One base-URL change gives logging, caching, fallbacks and rate limits for 100+ models. Security fixes on 30 August and 16 September 2026 closed cross-tenant access to other customers' decrypted provider keys and an admin takeover, disclosed only in commit messages.

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

Helicone AI Gateway + MCP

  1. Bring your own provider keys. Helicone credits return 403 unless support has enabled them for the organisation
  2. Rotate any provider keys stored in Helicone before 30 August 2026
  3. Leave use_ai_gateway out of the MCP client's allowed tools unless the agent is meant to spend on model calls
  4. Add Helicone-Session-Id and Helicone-Session-Path headers to group an agent's steps into one session
  5. Use the EU host (eu.helicone.ai) if the account was created there

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, Helicone AI Gateway + MCP or MLflow Tracing?

MLflow Tracing scores 61.2 (C) on agent readiness against Helicone AI Gateway + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Helicone AI Gateway + MCP leads on security & auth and transparency & trust.

Do Helicone AI Gateway + MCP and MLflow Tracing need an API key?

Helicone AI Gateway + MCP needs an API key. MLflow Tracing takes an API key or an OAuth sign-in.

Can an agent call Helicone AI Gateway + MCP and MLflow Tracing without installing anything?

Helicone AI Gateway + MCP has a hosted endpoint at https://ai-gateway.helicone.ai. MLflow Tracing runs on your own machine, with no hosted endpoint listed.

Are Helicone AI Gateway + MCP and MLflow Tracing open source?

Yes. Helicone AI Gateway + MCP is open source (Apache-2.0). MLflow Tracing is open source (Apache-2.0).

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