Meme Generator MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MEME_GENERATOR_MCP_OUTPUT_PATH | No | Custom path for generated memes | ~/.config/meme-generator-mcp/generated_memes |
| MEME_GENERATOR_MCP_CONFIGS_PATH | No | Custom path to meme configs JSON | ~/.config/meme-generator-mcp/meme_configs.json |
| MEME_GENERATOR_MCP_TEMPLATES_PATH | No | Custom path to meme templates directory | ~/.config/meme-generator-mcp/meme_templates |
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 |
|---|---|
| generate_memeA | Generate a meme with custom text overlays. Each meme type has specific named text placeholders that must be filled. Use the 'get_meme_info' tool to see available memes and their placeholder requirements. |
| get_meme_infoC | Get information about available memes and their text placeholder requirements. |
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 generates memes while the other provides metadata about available memes. There is no overlap in functionality, and the descriptions clearly differentiate their roles.
Both tools follow a consistent verb_noun naming pattern (generate_meme, get_meme_info) with clear, descriptive names that indicate their specific actions. The naming convention is uniform across all tools.
With only 2 tools, the server feels under-scoped for a meme generation domain. While the tools cover the basic workflow (discover memes then generate), there are likely missing operations like listing meme categories, managing templates, or editing existing memes that would enhance completeness.
The tools cover the core discovery-to-generation workflow adequately, but there are notable gaps. Missing operations might include updating or deleting generated memes, searching/filtering memes by category, or managing user-created templates, which could limit agent capabilities in extended scenarios.