Universal coordination protocol for AI agents. Discovery, matching, and negotiation.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Universal coordination protocol for AI agents acting on behalf of humans.
Claude Desktop using Schelling Protocol to find a React developer and post a room listing
Schelling is a coordination protocol for AI agents that act on behalf of humans. Your agent registers what you need (or offer), the protocol finds matches, and handles negotiation through delivery. Not agent-to-agent DevOps β this is where your agent finds you an apartment, a freelancer, a roommate.
Live API returns real matches with scores β 2 candidates found in the current network with score: 1 on location traits.
The problem: Every coordination task requires a different platform. Finding a contractor β Upwork. Roommate β Craigslist. Developer β LinkedIn. Your AI agent needs to integrate with all of them.
The solution: One protocol. Agents register traits and preferences, the server matches through a staged funnel (DISCOVERED β INTERESTED β COMMITTED β CONNECTED), and information is revealed progressively.
The interesting part: Humans never touch Schelling directly. They tell their agent what they need. The agent handles registration, search, negotiation, contracts, and delivery β then brings back the result.
| What you say | What your agent does |
|---|---|
| "Find me a roommate in Fort Collins, $800/mo, no pets" | Registers preferences β searches housing cluster β shortlists 3 candidates β expresses interest β negotiates move-in terms |
| "I need a React developer, Denver, $120/hr" | Searches freelancer cluster β ranks by experience + location + rate β presents top match (score 0.91) β proposes contract |
| "List my portrait photography for $400, oil on canvas" | Registers offering with traits β subscribes to notifications β auto-responds to matching seekers |
| "Find me a dog walker near Old Town" | Searches services cluster β filters by proximity β connects you with top match β tracks delivery + reputation |
Every vertical works the same way. One protocol, any domain.
Scaffold a new agent in one command:
Or install the SDK directly:
Or run your own server:
Or manually:
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
Restart Claude Desktop. Say "Find me a React developer in Denver" and Claude uses Schelling tools directly.
Add Schelling as an MCP server for Claude Desktop, Cursor, or any MCP-compatible agent:
Your AI agent gets access to all Schelling operations as tools β seek, offer, negotiate, contract, deliver.
quick_seek and quick_offer parse plain English into structured traitsAll operations use POST /schelling/{operation} with JSON bodies.
π Interactive API Docs Β· π OpenAPI Spec Β· π Quickstart Guide Β· π οΈ Build Your First Agent Β· π Integration Scenarios Β· π§ Troubleshooting Β· π¦ API Collection Β· π Ecosystem Guide Β· π Deploy Template Β· π€ ChatGPT Actions
| Group | Operations |
|---|---|
| Discovery | describe, server_info, clusters, cluster_info |
| Registration | onboard, register, update, refresh |
| Search | search, quick_seek, quick_offer, quick_match |
| Funnel | interest, commit, connections, decline, withdraw |
| Contracts | contract, deliver, accept_delivery, deliveries |
| Reputation | reputation, dispute, jury_duty, jury_verdict |
| Communication | message, messages, direct, inquire |
See CONTRIBUTING.md for guidelines. The protocol spec lives at SPEC.md β spec changes require an issue first.
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