Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GHIDRA_PATHNoGhidra installation path/opt/ghidra
YARA_RULES_PATHNoCustom YARA rules directory./rules

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_projectC

Analyze project structure and provide architectural feedback

review_securityC

Review code for security vulnerabilities

analyze_apiC

Analyze API endpoints in the project

validate_api_structureC

Validate API follows REST best practices

get_architecture_adviceC

Get architectural advice based on requirements

scaffold_projectC

Generate project scaffold with Docker and tests

add_dockerC

Add Docker configuration to existing project

add_testsC

Add unit and integration tests

execute_commandC

Execute a shell command

read_fileD

Read a file

write_fileC

Write content to a file

list_directoryC

List directory contents

ghidra_analyzeC

Analyze binary with Ghidra (headless mode)

ghidra_decompileB

Decompile binary functions with Ghidra

yara_scanC

Scan file with YARA rules for malware indicators

analyze_binaryA

Static analysis: extract strings, check security (checksec), binary info

radare2_analyzeA

Analyze binary with Radare2 (functions, imports, strings)

pestudio_analyzeC

Analyze PE (Windows) file with PE Studio features

dynamic_analysisB

Run dynamic/behavioral analysis on suspicious file

network_analysisB

Analyze network capture (pcap) for IOCs and traffic

memory_forensicsC

Analyze memory dump - provides Volatility commands and quick wins

gdb_debugA

Debug binary with GDB (set breakpoint, run, inspect)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RoySamson-stack/backend-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server