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Glama
gwbischof
by gwbischof

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
outsource_textA
Delegate text generation to another AI model. Use this when you need capabilities
or perspectives from a different model than yourself.

Args:
    provider: The AI provider to use (e.g., "openai", "anthropic", "google", "groq")
    model: The specific model identifier (e.g., "gpt-4o", "claude-3-5-sonnet-20241022", "gemini-2.0-flash-exp")
    prompt: The instruction or query to send to the external model

Returns:
    The text response from the external model, or an error message if the request fails

Example usage:
    To get a different perspective: provider="anthropic", model="claude-3-5-sonnet-20241022", prompt="Analyze this problem from a different angle..."
    To leverage specialized models: provider="deepseek", model="deepseek-coder", prompt="Write optimized Python code for..."
outsource_imageA
Delegate image generation to an external AI model. Use this when you need to create
visual content.

Args:
    provider: The AI provider to use (currently only "openai" is supported)
    model: The image model to use ("dall-e-3" for high quality, "dall-e-2" for faster/cheaper)
    prompt: A detailed description of the image you want to generate

Returns:
    The URL of the generated image, which can be shared with users or used in responses

Example usage:
    For high-quality images: provider="openai", model="dall-e-3", prompt="A photorealistic rendering of..."
    For quick concepts: provider="openai", model="dall-e-2", prompt="A simple sketch showing..."

Note: Only OpenAI currently supports image generation. Other providers will return an error.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.3/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one handles image generation while the other handles text generation. Their descriptions explicitly differentiate when to use each tool, with no overlap in functionality or ambiguity about which tool to select for a given task.

Naming Consistency5/5

Both tools follow a consistent 'outsource_<resource>' naming pattern, using snake_case throughout. The naming convention is predictable and clearly indicates the type of content being outsourced (image vs text).

Tool Count2/5

With only 2 tools, this server feels thin for its apparent scope of 'outsourcing' AI tasks. While the two tools cover image and text generation, the server name suggests broader outsourcing capabilities that aren't represented in the tool surface, such as audio generation, video processing, or other AI services.

Completeness2/5

For a server named 'Outsource MCP', the tool surface is severely incomplete. It only covers image and text generation, missing obvious outsourcing capabilities like audio generation, video processing, code execution, data analysis, or other AI services that would logically fall under an outsourcing umbrella. The domain implied by the server name is much broader than what's actually covered.

Maintenance

ActivityInactive
ResponsivenessNo issues