Python MCP Server Template
Server 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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_pingD | – |
| get_jokeD | – |
| get_weatherD | – |
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: get_joke retrieves jokes, get_ping checks server status, and get_weather fetches weather data. 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 with 'get_' as the prefix, using snake_case throughout. This predictable naming scheme enhances readability and usability for agents.
With only 3 tools, the server feels thin for a general-purpose template, as it lacks depth in any specific domain. While the count is not extreme, it may be insufficient for complex workflows, though it's reasonable for a basic example.
The tool set is severely incomplete for a Python MCP server template, as it only includes three unrelated, trivial functions without covering any meaningful domain or lifecycle operations. There are significant gaps that would hinder agent performance in practical scenarios.