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Docker curated MCP registry entry
Kagi Search is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 86/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Kagi Search to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/kagisearchReview the upstream source before running this command.
{
"raw": "name: kagisearch\nimage: mcp/kagisearch\ntype: server\nmeta:\n category: devops\n tags:\n - kagisearch\n - devops\nabout:\n title: Kagi Search\n icon: https://avatars.githubusercontent.com/u/92134518?s=200&v=4\nsource:\n project: https://github.com/kagisearch/kagimcp\n commit: 17c4dfd25fbfeeffa43a428574b786982bd3cd97\nconfig:\n description: Configure the connection to Kagi search\n secrets:\n - name: kagisearch.api_key\n env: KAGI_API_KEY\n example: YOUR_API_KEY_HERE\n env:\n - name: KAGI_SUMMARIZER_ENGINE\n example: cecil\n value: \"{{kagisearch.engine}}\"\n parameters:\n type: object\n properties:\n engine:\n type: string\n",
"path": "servers/kagisearch/server.yaml"
}