banana-prompts-mcp
OfficialServer 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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_prompts_by_tagsA | Search for AI art prompts on Banana Prompts by one or more tags. |
| search_prompts_by_queryB | Search for AI art prompts on Banana Prompts using a general search query. |
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 clearly distinct purposes: one searches by a general query, the other by tags. There is no overlap in functionality, making them easy to distinguish for an agent.
Both tools follow the consistent verb_noun pattern 'search_prompts_by_<criterion>', making the naming predictable and intuitive.
Only two tools is very few for a server. Even though it focuses on search, the minimal count suggests an underdeveloped surface that may not meet diverse agent needs.
Only search operations are provided; there are no tools for creating, updating, or deleting prompts. This leaves obvious gaps for any workflow beyond simple lookup.