mcp-flowise
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_chatflowsA | |
| create_predictionA | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one lists available chatflows, and the other creates predictions using a specific chatflow. There is no overlap in functionality or ambiguity between them.
Both tools follow a consistent verb_noun pattern (list_chatflows, create_prediction) with clear, descriptive names that align with their functions. No deviations or mixed conventions are present.
With only 2 tools, the server feels thin for its apparent domain of interacting with Flowise chatflows. While the tools cover basic operations, the lack of tools for updating, deleting, or managing chatflows suggests an incomplete surface that may limit agent workflows.
The toolset is severely incomplete for a chatflow management domain. It provides listing and prediction creation but lacks essential CRUD operations like creating, updating, or deleting chatflows, as well as tools for managing predictions (e.g., retrieving or canceling them), which will likely cause agent failures in complex tasks.