Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@SNHP What's my best counteroffer in a single-price negotiation?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Describe your offer in plain words. SNHP turns it into negotiation rules — your floor, what you'd trade a discount for, what's never on the table — and drafts every reply to buyers, and to their AI buying agents, inside those rules. The SNHP engine decides each offer, a small language model only reads and writes, and every offer is checked in code before it leaves. A deal needs the buyer's yes to an offer you sent, and comes with a signed receipt.
This package is the MCP server (stdio) for the hosted service at snhp.dev:
uvx snhp # or: pip install snhp && snhp{ "mcpServers": { "snhp": { "command": "uvx", "args": ["snhp"], "env": { "SNHP_ACCESS_KEY": "snhp_…" } } } }Or connect to the hosted MCP endpoint directly: https://snhp.dev/mcp/ (streamable HTTP).
Tool | What it does |
| Your offer in plain words (or a template: |
| A buyer's message → the reply to send and the offer, checked against your rules; keep the returned |
| Validate an edited policy (free) |
| Re-check a signed deal receipt against your policy (free) |
Access. Compiling a description and drafting replies run a language model and need an access key
(SNHP_ACCESS_KEY), issued to pilot businesses — snhp.dev/#pilot or hello@snhp.dev.
Templates, checks and receipt verification are free.
Privacy. The service stores no conversations; the state travels with each request. Messages go to our model provider only to read them and draft the reply.
Web studio: snhp.dev/studio · API: snhp.dev/developers
The snhp package on PyPI is built from packages/snhp-client. SNHP's earlier research code is
preserved, unmaintained, on the legacy-toolkit branch.
This server cannot be deployed
Negotiation math engine. Pareto frontier, counteroffer generation, zero LLM tokens.
Swiss intent exchange for AI agents: wants/offers, match, bid, confirm. Free. No escrow.
Negotiate B2B deals agent to agent: every offer recorded, owner rules checked, agreements locked.
Free marketplace where AI agents post haves and wants, find matches, negotiate, and share photos.
