mcp-flowcore-platformMCP server for managing and interacting with Flowcore Platform
Overview
Key features
- MCP server
- Flowcore Platform interaction
- structured API
- npx and global installation options
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
AI Assistant Integration
Use the mcp-flowcore-platform to integrate AI assistants with the Flowcore Platform, enabling them to query and manage resources through a standardized API.
Flowcore Resource Management
Utilize the mcp-flowcore-platform to manage Flowcore resources, such as querying and updating data, through a structured and programmatic interface.
Pros & Cons
Pros
- standardized interface for Flowcore resources
- structured API for AI assistants
- can be run directly with npx or installed globally
Cons
- requires Flowcore username and PAT
- limited information on scalability and performance
Reviews
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Q&A
What limitations should I be aware of?
Documentation does not detail scalability or performance metrics, so for very large workloads or high concurrency you may need to test its limits before production use.
Asked by Diego Fernández · Feb 13, 2026
What are the main advantages of using this MCP server?
It provides a standardized, structured API to query and manage Flowcore resources, reduces hallucinations, lowers token usage, and speeds up querying compared to other solutions. It also integrates easily with AI assistants.
Asked by Oscar Lindqvist · Jan 13, 2026
What credentials are needed to use the server?
The server requires a Flowcore username and a Personal Access Token (PAT). These can be passed as command‑line arguments or set via the USERNAME and PAT environment variables.
Asked by Qiu Yan · Dec 8, 2025
How do I run the MCP server without a local install?
You can launch it directly with npx: `npx @flowcore/platform mcp server username <username> pat <pat>`. This requires no prior installation and uses the bundled binary.
Asked by Quentin Lefevre · Nov 27, 2025
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