ASCII Banner MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_TRANSPORT | No | The transport protocol to use. Set to 'streamable-http' to run the server over HTTP instead of the default stdio. |
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 | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_fontsA | List all available pyfiglet font names. |
| generate_bannerA | Generate an ASCII art banner from the given string. |
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 perfectly distinct purposes: generate_banner creates ASCII art from text, while get_fonts lists available fonts. There is no overlap or ambiguity between them; an agent can easily tell them apart based on their clear, complementary functions.
Both tools follow a consistent verb_noun pattern: generate_banner and get_fonts. The naming is predictable and readable, with no deviations or mixed conventions, making it easy for an agent to understand and use them.
With only 2 tools, this server feels thin for its apparent scope of ASCII banner generation. While the tools cover core functionality, the count is too low for a typical server, limiting flexibility and potentially requiring agents to work around missing operations like customization or management features.
The server covers basic ASCII banner generation with text input and font selection, but there are notable gaps. For example, it lacks tools for customizing banners (e.g., adjusting width, alignment, or colors) or managing generated banners, which could hinder more advanced agent workflows in this domain.