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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