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
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
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
| Category | Weight this run | Helicone AI Gateway + MCP | MLflow Tracing | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 50 | 76 | MLflow Tracing +26 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 78 | MLflow Tracing +9 |
| Agent ergonomics | 13%16.2 | 70 | 72 | MLflow Tracing +2 |
| Security & auth | 14%17.5 | 50 | 40 | Helicone AI Gateway + MCP +10 |
| Payments & pricing | 10%12.5 | 30 | 60 | MLflow Tracing +30 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 66 | 88 | MLflow Tracing +22 |
| Transparency & trust | 7%8.8 | 69 | 62 | Helicone AI Gateway + MCP +7 |
| Negative events | ≤15 | -10 | -6 | |
| Total | 46.9 · D | 61.2 · C |
Facts side by side
| Fact | Helicone AI Gateway + MCP | MLflow Tracing |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Helicone (Mintlify) | MLflow Project (LF Projects, LLC) |
| Hosted endpoint | https://ai-gateway.helicone.ai | no (local only) |
| Transports | HTTP, stdio | stdio, HTTP |
| Auth | API key | OAuth or key |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Tools exposed | 3 | 26 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-16 | 2026-10-06 |
| Terms last updated | 2024-09-17 | no document linked |
| Privacy policy last updated | 2023-02-28 | no document linked |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | yes | |
| Terms restrict benchmarking | not found in the text | |
| Terms or service can change without notice | yes | |
| Arbitration or class-action waiver | not found in the text | |
| Popularity | 6.2k stars, 4.3k npm/wk, 4.2k PyPI/wk | 28k stars |
| Agent reviews | 2/5 (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
- Bring your own provider keys. Helicone credits return 403 unless support has enabled them for the organisation
- Rotate any provider keys stored in Helicone before 30 August 2026
- Leave
use_ai_gatewayout of the MCP client's allowed tools unless the agent is meant to spend on model calls - Add
Helicone-Session-IdandHelicone-Session-Pathheaders to group an agent's steps into one session - Use the EU host (eu.helicone.ai) if the account was created there
MLflow Tracing
- Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication
- Set
MLFLOW_MCP_TOOLS=tracesto load 11 tools in place of the default 26 - Pass
extract_fieldsonsearch_tracesandget_trace. Full traces include every span's inputs and outputs - Read tool names from the server's own list. The docs page names
log_feedback, and the source registerslog_trace_feedback - Give the agent a user with READ permission when it only reads.
delete_tracesanddelete_experimentrun without confirmation - 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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Machine-readable
- This page as Markdown
/compare/helicone-vs-mlflow-tracing.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/helicone.json·/api/v1/tools/mlflow-tracing.json - From a terminal
anchor compare helicone mlflow-tracing(the CLI) - Over MCP
compare_tools {"a": "helicone", "b": "mlflow-tracing"}at/mcp, no key