Geneva Forecasting MCP
by RoadMap-Tech · ai-ml · mcp-server, glama
Geneva MCP brings production-grade forecasting directly into AI assistants and coding agents. Connect any MCP-compatible client to the Geneva Forecasting Engine and run rigorous time series forecasts through natural conversation.
Source: https://github.com/RoadMap-Tech/geneva-mcp
Install
git clone https://github.com/RoadMap-Tech/geneva-mcpTags: mcp-server, glama
Source: glama
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Geneva Forecasting MCP is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install Geneva Forecasting MCP?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Geneva Forecasting MCP?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Geneva Forecasting MCP free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.