# forecast-mcp

> forecast-mcp — ownoptic-forecast-mcp. Use this tool when you need to predict project outcomes and analyze uncertainties, as it provides Monte Carlo forecasting for duration, cost, and completion dates using three-point estimates and historical throughput. It solves problems related to project planning, risk management, and resource allocation by generating probabilistic forecasts and sensitivity analyses. The tool takes in project data and three-point estimates as inputs and outputs forecasts and analysis results, making it ideal for project managers and planners seeking to make informed decisions under uncertainty.

Canonical page: https://skillsregistry.net/skills/ownoptic-forecast-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ownoptic-forecast-mcp

## Description

A Model Context Protocol server that provides Monte Carlo forecasting tools for project duration, cost, completion dates, and sensitivity analysis using three-point estimates and historical throughput.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aiq7ugm65h)
- **Repository:** <https://github.com/OwnOptic/forecast-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": "ownoptic-forecast-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ownoptic-forecast-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ownoptic-forecast-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