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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DDGS_PROXYNoOptional proxy server to use for egress web search requests
MCP_SERVER_TRANSPORTNoTransport type for the MCP server (stdio, streamable-http, or sse)

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": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
greetA

Greet the caller with a quintessential Hello World message.

generate_passwordA

Generate a random password with specified length, optionally including special characters.

text_web_searchB

Perform a text web search using the provided query using DDGS.

permutationsA

Calculate the number of ways to choose k items from n items without repetition and with order.

run_python_codeC

Run the given Python code and return the output or error message.

pirate_summaryA

Summarise the given text in a pirate style. This is an example of a tool that can use LLM sampling to generate a summary.

vonmises_randomB

Generate a random number from the von Mises distribution. This is an example of a tool that uses elicitation to obtain the required parameter kappa (κ).

Prompts

Interactive templates invoked by user choice

NameDescription
code_promptGet a prompt to write a code snippet in Python based on the specified task.

Resources

Contextual data attached and managed by the client

NameDescription
resource_logoGet the base64 encoded PNG logo of PyMCP.
resource_logo_svgGet the PyMCP logo as SVG.

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