# Geneva Forecasting MCP

> Use this tool when you need to generate accurate time series forecasts through a conversational interface. It solves problems related to predicting future trends and patterns in data, allowing for informed decision-making in various industries. The Geneva Forecasting MCP takes in natural language inputs and outputs rigorous forecast results, making it ideal for use cases where complex data analysis is required.

Canonical page: https://skillsregistry.net/skills/roadmap-tech-geneva-mcp  
JSON: https://api.skillsregistry.net/v1/skills/roadmap-tech-geneva-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e9ro8e95i5)
- **Repository:** <https://github.com/RoadMap-Tech/geneva-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "roadmap-tech-geneva-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/roadmap-tech-geneva-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/roadmap-tech-geneva-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
