MLX lacks support for tool-call-parser flag
MLX lacks support for the --tool-call-parser flag that is available in vLLM/SGLang. This limitation may hinder users from fully utilizing the capabilities offered by these other tools.
4 people in 6 posts across 1 source · demand low, pain low, competition low
The pain
shares of 6 quoted postsWhat goes wrong, and for whom
- Who
- 4 people, in AI Agents
- What goes wrong
- Missing feature50% of posts
- Using a workaround50% of posts
- Manual work50% of posts
- How bad
- 50% of posts are complaints
- Since
- 01 Mar 2026 → 13 Jul 2026
Is this a startup idea?
Not directly. These are complaints about a product or service people already use — the fix belongs first to that provider.
- Looking for something else
- 17% want an alternative · 0% ask the provider for a feature
- What the numbers say
- 17% are looking for an alternative — if there is an opening, it is with them.
The pain — what people say
Their asks, who is writing, and the posts themselves
What people were doing
Every post behind this page, by what its author was doing — and when each one was written
- Complaint350%
- Looking for an alternative117%
- About price233%
Sources
6 signals · 1 sources
Evidence
Raw public posts behind this opportunity — click through to the original
…ol calls, but n8n's LangChain integration expects Hermes JSON format. MLX doesn't support the --tool-call-parser flag that vLLM/SGLang offer. The fixes that made it work: Temperature: 0.5 (more deterministic tool selection) Frequency penalty: 0 (Qwen hates non-zero values here — it causes repetition loops) Max tokens…
Wants a free optionMissing featureUsing a workaround…ol calls, but n8n's LangChain integration expects Hermes JSON format. MLX doesn't support the --tool-call-parser flag that vLLM/SGLang offer. The fixes that made it work: Temperature: 0.5 (more deterministic tool selection) Frequency penalty: 0 (Qwen hates non-zero values here — it causes repetition loops) Max tokens…
Wants a free optionMissing featureUsing a workaround…ol calls, but n8n's LangChain integration expects Hermes JSON format. MLX doesn't support the --tool-call-parser flag that vLLM/SGLang offer. The fixes that made it work: Temperature: 0.5 (more deterministic tool selection) Frequency penalty: 0 (Qwen hates non-zero values here — it causes repetition loops) Max tokens…
Wants a free optionMissing featureUsing a workaroundRunning a Mac as home server and couldn't be happier. Power efficient, fast, small. Roast me! — I finally decided to get a home server a while ago. I've built my own PCs since I was a kid, my first was an AMD K6-2 at 400 MHz with an NVIDIA Riva TNT2 Pro. So I did what I always do: hand-picked the components for a box…
Too expensive…MaNGOS + playerbots; this is just the glue that points it at Ollama. TL;DR: I didn't want to pay $30/mo for a stock-screener app I loved, so I built my own — and three years later it's a silent \~40-service homelab (which replaced a screaming Dell R710), runs my house, keeps working with the internet unplugged, and…
Wants a free option
Market and score
Products already there, how the score moved, and what it is made of
Opportunity history
Every score change is stored as a snapshot — click a sub-score to overlay it
Why did it move?
Score 26.2 → 26.1 · 14 Sept 2026, 03:00 → 04:15 UTC
How the score was measured37 measured values behind the seven sub-scores · each shows the value, then the points it earned out of 100Show ↓Hide ↑
Questions about this idea
- Is MLX lacks support for tool-call-parser flag a startup idea?
- Not directly. These are complaints about a product or service people already use, and the fix belongs first to that provider. The page shows what is frustrating users and how badly — not an open market to start a company in.
- How many people have this problem?
- 4 different people described it independently, in 6 mentions, the earliest from 01 Mar 2026 and the most recent from 13 Jul 2026. The quotes, with dates and links to the originals, are in the Evidence section.
- Is this problem getting worse?
- Current status: declining — mentioned less often than before. Momentum is 30/100, measured as how often it is mentioned recently compared with before.
Adjacent opportunities
Nearest neighbours by embedding similarity
Discussion
Written by readers. Not part of the evidence above and not counted in any score.
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If you have run into this problem, what did you try?