# Flatfile

> Use this tool when you need to programmatically manage data import workflows, validate sheets, and orchestrate data transformations. The Flatfile MCP server provides access to over 200 API endpoints for managing spaces, workbooks, and data operations, accepting bearer tokens as input and returning data through stdio. It is ideal for use cases requiring automated data import and validation, such as data migration, integration, and transformation workflows.

Canonical page: https://skillsregistry.net/skills/flatfile  
JSON: https://api.skillsregistry.net/v1/skills/flatfile

## Description

The Flatfile MCP server provides AI assistants with direct access to Flatfile's data import platform through a TypeScript implementation. Developed by Flatfile, Inc., this server exposes over 200 API endpoints for managing spaces, workbooks, sheets, jobs, users, and data operations on the Flatfile platform. The implementation uses the Model Context Protocol SDK to communicate via stdio, authenticates with the Flatfile API using bearer tokens, and follows a consistent pattern for API interactions with proper error handling. It's particularly valuable for users who need to programmatically manage data import workflows, validate sheets, and orchestrate data transformations without leaving their conversation context.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/flatfile)
- **Repository:** <https://github.com/flatfilers/mcp-server-flatfile>

## 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": "flatfile"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flatfile` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flatfile/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