MCP Content Curation Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | Yes | Your OpenAI API key from OpenAI Platform |
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 |
|---|---|
| suggest_categoryC | Sugere categoria mais apropriada para um curso usando IA |
| suggest_tagsB | Sugere tags relevantes para um curso usando IA |
| improve_contentC | Melhora título e descrição de um curso seguindo boas práticas |
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 3 tools
Each tool has a clearly distinct purpose: improve_content focuses on enhancing title and description, suggest_category recommends a category, and suggest_tags suggests tags. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.
All tool names follow a consistent verb_noun pattern (improve_content, suggest_category, suggest_tags) with the same verb style ('improve' and 'suggest'). This predictability aids in understanding and usage without deviation.
With only 3 tools, the server feels thin for a content curation domain, as it lacks operations like creating, updating, or deleting content. While the tools are focused, the scope is limited, potentially requiring workarounds for full curation workflows.
The toolset is severely incomplete for content curation, missing core CRUD operations (e.g., create_content, update_content, delete_content) and other essential functions like listing or searching content. This will likely cause agent failures in handling comprehensive curation tasks.