# Smithery.ai configuration for pprof-analyzer-mcp
startCommand:
# Specifies that this is a standard I/O based MCP server
type: stdio
# JSON Schema defining configuration options for the server.
# Our server doesn't require any configuration, so this is empty.
configSchema: {}
# A JavaScript function that produces the CLI command to start the MCP server via stdio.
# It receives the user-provided config (which is empty in our case).
# It should return an object with 'command' and optionally 'args' and 'env'.
# The command here refers to the executable inside the Docker container built by the Dockerfile.
commandFunction: |-
(config) => ({
// The command is the path to the binary inside the Docker container's WORKDIR.
"command": "/app/pprof-analyzer-mcp",
// No arguments needed for our server.
"args": [],
// No specific environment variables needed for our server.
"env": {}
})
# Optional build configuration (if Dockerfile is not in the root or named differently)
# build:
# dockerfile: Dockerfile # Path to Dockerfile relative to this file (default)
# dockerBuildPath: . # Path to docker build context relative to this file (default)
MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/ZephyrDeng/pprof-analyzer-mcp'
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