MCP server for managing and interacting with Flowcore Platform
{
"flowcore-platform-mcp-server": {
"command": "npx",
"args": [
"-y",
"@flowcore/platform-mcp-server",
"--username",
"<username>",
"--pat",
"<pat>"
],
"env": {}
},
"platform-mcp-server": {
"command": "platform-mcp-server",
"args": [
"--username",
"<username>",
"--pat",
"<pat>"
],
"env": {}
},
"flowcore-platform-mcp-server-dev-bun": {
"command": "bun",
"args": [
"run",
"src/index.ts",
"--username",
"<username>",
"--pat",
"<pat>"
],
"env": {}
},
"flowcore-platform-mcp-server-built-node": {
"command": "node",
"args": [
"dist/cli.js",
"--username",
"<username>",
"--pat",
"<pat>"
],
"env": {}
}
}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
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
Related MCP Servers
markitdown-mcp
Python tool for converting files and office documents to Markdown.
fetch
Model Context Protocol Servers
memory
Model Context Protocol Servers
mindsdb
AI Analytics Engine that can answer questions over large scale data. - The only MCP Server you'll ever need
fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients
screenpipe
AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording
