This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Built an open protocol layer that sits above MCP: instead of dumping every
tool's auth tokens + schemas into the agent's context, the agent sends intent
and gets back a scoped manifest — only relevant tools, auth injected
server-side, execution ordering declared.
Benchmark numbers (50 runs/scenario, tiktoken cl100k_base):
- Standard query: 373 → 111 tokens (-70%)
- 50 tools, 2 relevant: 9,223 → 241 tokens (-97.4%)
- Complex multi-step: 1,431 → 359 tokens (-74.9%)
Key points:
- Auth never enters agent context (injected server-side)
- Execution ordering is declared in the manifest, not left to the agent
- It's a protocol spec (CC BY 4.0), not a library — works with any framework
Go server + Python adapters for LangGraph, CrewAI, OpenAI Agents SDK.
go install github.com/Clawdlinux/ninevigil-...https://github.com/Clawdlinux/ni...
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About ACP – Agent Context Protocol on Product Hunt
“The intent layer above MCP — 64–97% fewer tokens”
ACP – Agent Context Protocol was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #129 on the daily leaderboard. ACP sits above MCP as an intent-resolution layer. Send intent, get back a scoped manifest: only relevant tools, auth injected server-side (never in context), execution ordering declared. Benchmark results (50 runs/scenario, tiktoken cl100k_base): • 373 → 111 tokens (-70%) for a standard query • 9,223 → 241 tokens (-97.4%) with 50 tools, 2 relevant • 1,431 → 359 tokens (-74.9%)
ACP – Agent Context Protocol was featured in Open Source (68.4k followers), Developer Tools (512.4k followers), Artificial Intelligence (468.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 194.2k products, making this a competitive space to launch in.
Who hunted ACP – Agent Context Protocol?
ACP – Agent Context Protocol was hunted by Shreyansh Sancheti. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Shreyansh Sancheti