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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

NameDescription
list_chatflowsA
List all available chatflows from the Flowise API.

This function respects optional whitelisting or blacklisting if configured
via FLOWISE_CHATFLOW_WHITELIST or FLOWISE_CHATFLOW_BLACKLIST.

Returns:
    str: A JSON-encoded string of filtered chatflows.
create_predictionA
Create a prediction by sending a question to a specific chatflow or assistant.

Args:
    chatflow_id (str, optional): The ID of the chatflow to use. Defaults to FLOWISE_CHATFLOW_ID.
    question (str): The question or prompt to send to the chatflow.

Returns:
    str: The raw JSON response from Flowise API or an error message if something goes wrong.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 2 tools

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness2/5

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.

Maintenance

ActivityInactive
ResponsivenessNo issues