report_outcome — Spark - AI Assets Marketplace MCP Tool
report_outcome
(report outcome) is one of 6 tools on the
Spark - AI Assets Marketplace
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call report_outcome from your client
- Claude Code Spark - AI Assets Marketplace report_outcome run in your project directory
- Claude Desktop Spark - AI Assets Marketplace report_outcome ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Spark - AI Assets Marketplace report_outcome ~/.cursor/mcp.json
- VS Code Spark - AI Assets Marketplace report_outcome .vscode/mcp.json
- Zed Spark - AI Assets Marketplace report_outcome ~/.config/zed/settings.json
- Windsurf Spark - AI Assets Marketplace report_outcome ~/.codeium/windsurf/mcp_config.json
- Cline Spark - AI Assets Marketplace report_outcome ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Spark - AI Assets Marketplace report_outcome ~/.gemini/settings.json
- Grok Spark - AI Assets Marketplace report_outcome .mcp.json (in your project root)
- ChatGPT Spark - AI Assets Marketplace report_outcome Settings → Connectors → Advanced → Developer mode
- Claude.ai Spark - AI Assets Marketplace report_outcome Settings → Connectors → Add custom connector
- LangChain Spark - AI Assets Marketplace report_outcome pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http spark https://spark.entire.vc/mcp/Other tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.