# mcp-fmp

> mcp-fmp — pipeworx-io-mcp-fmp. Use this tool when you need to streamline financial modeling and data preparation for machine learning applications, solving problems related to data inconsistency and inefficiency. It takes in financial data and outputs formatted datasets, providing a seamless interface for git integration. Ideal for use cases requiring automated data processing and version control in financial analysis and modeling contexts.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-fmp  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-fmp

## Description

Financial Modeling Prep MCP.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-fmp)

## 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": "pipeworx-io-mcp-fmp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-fmp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-fmp/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