SuperClaude MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CLAUDE_CONFIG_DIR | No | Path to the Claude configuration directory (default: ~/.claude) |
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
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| sc_buildD | Universal project builder - Create any type of project with intelligent defaults |
| sc_dev-setupC | Development environment setup - Configure complete dev environment |
| sc_testC | Testing framework - Create and run tests with coverage |
| sc_analyzeC | Code analysis - Multi-dimensional analysis of code quality |
| sc_troubleshootC | Intelligent debugging - Systematic issue resolution |
| sc_improveD | Code improvement - Enhance existing code |
| sc_explainC | Code explanation - Detailed documentation and understanding |
| sc_deployD | Deployment automation - Handle deployment workflows |
| sc_migrateD | Migration assistance - Database and code migrations |
| sc_scanC | Security scanning - Comprehensive security analysis |
| sc_estimateC | Project estimation - Time and resource estimates |
| sc_cleanupC | Code cleanup - Remove technical debt |
| sc_gitD | Git operations - Advanced git workflows |
| sc_designD | System design - Architecture and design patterns |
| sc_spawnC | Create specialized agents - Spawn task-specific AI agents |
| sc_documentC | Documentation generation - Create comprehensive docs |
| sc_loadC | Load configurations - Apply saved configurations |
| sc_personaB | Switch active SuperClaude persona |
| sc_checkpointC | Create or restore git checkpoint |
| sc_token_modeC | Set token optimization mode |
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 20 tools
Most tools have clear, distinct purposes, but there is some overlap between sc_analyze, sc_improve, sc_cleanup, and sc_troubleshoot, which all deal with code modification. However, their descriptions specify different focuses (analysis, enhancement, cleanup, debugging), so an agent can usually select the right one.
All tools consistently use the sc_ prefix with lowercase hyphenated names (e.g., sc_dev-setup, sc_analyze). This uniform pattern makes the tool naming highly predictable and easy to navigate.
With 20 tools, the set is slightly above the ideal 3-15 range, but each tool serves a distinct development function, from building to deployment. The count feels comprehensive rather than bloated for an all-in-one development assistant.
The tool surface covers the entire development lifecycle—project creation, setup, testing, analysis, debugging, improvement, deployment, migration, security, estimation, documentation, and git operations. There are no obvious gaps that would force an agent into a dead end for common workflows.