Flowcore Platform MCP Server
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Flowcore Platform MCP Serverlist my data streams"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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).
Related MCP server: flowise-mcp
Installation
If you prefer to install the package globally:
npm install -g @flowcore/platform-mcp-serverThen run it:
platform-mcp-server --username <username> --pat <pat>Development
To install dependencies:
bun installRun the project directly with Bun:
bun run src/index.ts --username <username> --pat <pat>Building
Build the project:
bun run buildRun 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
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
AlicenseBqualityDmaintenanceConnects AI assistants (Claude, Cursor, etc.) directly to the HiveFlow automation platform, allowing them to create, manage, and execute automation flows through natural language commands.Last updated9344MIT- AlicenseAqualityDmaintenanceEnables AI agents to interact with Flowise instances for flow management, predictions, analysis, and more.Last updated182MIT
- AlicenseBqualityAmaintenanceEnables AI assistants to manage Temporal workflows, schedules, and workflow executions through a standardized interface.Last updated3148Apache 2.0
- Alicense-qualityCmaintenanceEnables AI assistants to explore and interact with the Facets Control Plane API via natural language, supporting operations like searching endpoints, loading schemas, and making authenticated API calls.Last updatedMIT
Related MCP Connectors
Connect AI assistants to Stellary projects, boards, documents, and governed agent workflows.
List, configure, chat with, analyse and embed your Echo AI assistants.
Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/flowcore-io/mcp-flowcore-platform'
If you have feedback or need assistance with the MCP directory API, please join our Discord server