flowcore/mcp-flowcore-platform
🎖️ 📇 ☁️ 🏠 - Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language.
Quick Install
{
"mcpServers": {
"flowcore-mcp-flowcore-platform": {
"command": "npx",
"args": [
"-y",
"flowcore-mcp-flowcore-platform"
]
}
}
}Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.
Documentation Overview
Flowcore Platform MCP Server
A Model Context Protocol (MCP) server for managing and interacting with the Flowcore Platform.
If you're curious about how it works, you can check out our video, where we set it up and demonstrate what it can do.
If you like this solution, but would like to reduce the hallucinations, reduce token usage, increase the amount of data you can look through and also speed up querying exponentially - then we recommend you also check out our local read model mcp server,
Usage with npx
You can run this package directly using npx without installing it:
npx @flowcore/platform-mcp-server --username <username> --pat <pat>
Replace <username> and <pat> with your Flowcore username and PAT (Personal Access Token).
Installation
If you prefer to install the package globally:
npm install -g @flowcore/platform-mcp-server
Then run it:
platform-mcp-server --username <username> --pat <pat>
Development
To install dependencies:
bun install
Run the project directly with Bun:
bun run src/index.ts --username <username> --pat <pat>
Building
Build the project:
bun run build
Run the built project:
node dist/cli.js --username <username> --pat <pat>
Environment Variables
| Variable | Type | Description | Default | Required |
|---|---|---|---|---|
| USERNAME | string | Flowcore username | - | ✓ |
| PAT | string | Flowcore PAT (Personal Access Token) | - | ✓ |
About
This project uses the Model Context Protocol (MCP) to provide a standardized interface for interacting with the Flowcore Platform. It allows AI assistants to query and manage Flowcore resources through a structured API.
Originally created using bun init in bun v1.2.3. Bun is a fast all-in-one JavaScript runtime.
Questions
if you have any questions or cool ideas, then feel free to join our Discord community. Otherwise you can find us on all major social platforms