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Glama
xiangshiyin

mcp-toy

by xiangshiyin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_forecastB

Get weather forecast for a location.

Args:
    latitude: Latitude of the location
    longitude: Longitude of the location

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so no ambiguity is possible. The tool has a clear, distinct purpose.

Naming Consistency5/5

With a single tool, naming is inherently consistent. The name follows a clear verb_noun pattern.

Tool Count1/5

A server with one trivial tool is an extreme mismatch for any real-world use case. Far too few tools to be useful.

Completeness1/5

The tool surface is severely incomplete for a weather domain. Missing basic operations like current conditions, historical data, or forecasts for multiple days.

Resources