R_net LP risk evaluator for DeFAI agents. IL + Breakeven Corridor O(1). L402 Lightning paywall.
If you already use Arsenal Decision Engine, the arsenal decision engine mcp server is the piece that lets your assistant work with it directly. R_net LP risk evaluator for DeFAI agents. IL + Breakeven Corridor O(1). L402 Lightning paywall.
Built for agents, priced for agents. Pay per decision via Lightning Network (L402).
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Complexity — ** $\mathcal{O}(1)$ time and memoryLatency — ** $< 15\text{ms}$ local executionConfiguration is passed through the environment: LNBITS_URL, LNBITS_PAYMENT_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Arsenal Decision Engine's toolset — Complexity, Latency — is a fair guide to whether it matches your workflow. It is maintained by Faouzi122; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Arsenal Decision Engine's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Complexity | ** $\mathcal{O}(1)$ time and memory. |
| Latency | ** $< 15\text{ms}$ local execution. |
| Variable | Description | Required |
|---|---|---|
| LNBITS_URL | Endpoint or connection string the server talks to. | Yes |
| LNBITS_PAYMENT_KEY | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.