About ZeroWidth Caliper
Build datasets and rubrics, then run evals that score your AI in Caliper
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.zerowidth.ai/mcp/x/caliperclaude mcp add --transport http ai-zerowidth-caliper https://api.zerowidth.ai/mcp/x/caliper{"mcpServers":{"ai-zerowidth-caliper":{"type":"http","url":"https://api.zerowidth.ai/mcp/x/caliper"}}}Open in Cursor{"servers":{"ai-zerowidth-caliper":{"type":"http","url":"https://api.zerowidth.ai/mcp/x/caliper"}}}Open in VS Code{"mcpServers":{"ai-zerowidth-caliper":{"type":"http","url":"https://api.zerowidth.ai/mcp/x/caliper"}}}{"mcpServers":{"ai-zerowidth-caliper":{"serverUrl":"https://api.zerowidth.ai/mcp/x/caliper"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://api.zerowidth.ai/mcp/x/caliperAuth requiredTools
45| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | Max number of results. Defaults to 10. |
| query | string | Yes | Search query — keywords or natural-language phrase. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.