[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cc-detail-mcp-servers-entire-vc-evc-spark-mcp":3},{"id":4,"slug":5,"type":6,"title":7,"summary":8,"description_md":9,"install_command":10,"install_method":11,"source_url":12,"source_type":13,"github_repo":14,"github_stars":15,"github_last_commit_at":16,"language":17,"tags":18,"use_cases":24,"status":25,"submitted_by_ip":26,"approved_at":27,"view_count":28,"copy_count":28,"created_at":29,"updated_at":29,"quality_score":30,"discovered_via":31},"7adf934c-6622-41fc-84be-68aee2e8a043","entire-vc-evc-spark-mcp","mcp_server","Spark MCP","An MCP server for searching and retrieving assets from the Spark workflow catalog.","Spark MCP exposes the Spark catalog as an MCP server for clients like Claude Code, Claude Desktop, Cursor, and ChatGPT via an MCP bridge.\n\nIt provides tools to search assets, fetch asset details, read raw prompt or skill content, list popular items, and browse categories. The server also exposes MCP resources for asset markdown and catalog listings.\n\nThe README shows a Claude Code setup command and a simple `npx` quick start. It is configured through `SPARK_API_URL` and `SPARK_SITE_URL` environment variables.","claude mcp add spark -- npx -y evc-spark-mcp","npx","https:\u002F\u002Fgithub.com\u002Fentire-vc\u002Fevc-spark-mcp","github","entire-vc\u002Fevc-spark-mcp",5,"2026-07-10T12:25:22+00:00","en",[19,20,21,22,23],"mcp","claude-code","catalog","workflow","agents",[],"approved",null,"2026-07-11T04:00:38.639+00:00",0,"2026-07-11T04:00:38.648002+00:00",7,"awesome-list"]