Universal coordination protocol for AI agents. Discovery, matching, and negotiation.
Universal coordination protocol for AI agents. Discovery, matching, and negotiation.
Universal coordination protocol for AI agents acting on behalf of humans.
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 — this is where your agent finds you an apartment, a freelancer, a roommate.
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{
"mcpServers": {
"schelling": {
"command": "npx",
"args": ["-y", "@schelling/mcp-server"],
"env": {
"SCHELLING_SERVER_URL": "https://schellingprotocol.com"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| SCHELLING_SERVER_URL | Endpoint or connection string the server talks to. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
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Enhances AI responses by leveraging multiple Claude instances to combine or select the best elements from each.
Adds MCP server to Blockbench
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI