MCP Tools Reference

Bootspring exposes 9 hosted MCP (Model Context Protocol) tools that your AI assistant can use. Local-only and server-preview package capabilities are documented separately in readiness surfaces and are not counted as hosted production tools.

What Are MCP Tools?

MCP tools are capabilities that Bootspring makes available to AI assistants through the Model Context Protocol. When you ask your AI assistant to use Bootspring, it invokes these tools behind the scenes.

You: "Use the frontend-expert agent to build a login form" │ ▼ AI Assistant invokes: bootspring_agent │ ▼ Bootspring returns: Expert guidance + code

Available Tools

Core Tools

ToolDescription
bootspring_assistNatural language assistant with recommendations
bootspring_contextQuery and manage project context
bootspring_agentInvoke specialized expert agents
bootspring_skillSearch and use code patterns
bootspring_generateGenerate or regenerate CLAUDE.md

Task Management

ToolDescription
bootspring_todoManage development tasks

Automation

ToolDescription
bootspring_orchestratorWorkflow orchestration and phases
bootspring_loopAutonomous task execution loops

Configuration & System

ToolDescription
bootspring_qualityQuality gates and checks

Preview and Local-Only Entries

Git Autopilot, observer intelligence, build, seed, memory, plugin, dashboard, telemetry, and package-level tools remain local-only or server-preview entries until hosted execution is verified.

How to Use MCP Tools

Through Natural Language

Most of the time, you'll use tools implicitly through natural language:

"Generate a new context file for this project" → AI uses bootspring_generate "Search for authentication patterns" → AI uses bootspring_skill "Use the security-expert to review this code" → AI uses bootspring_agent

Explicit Tool Invocation

You can also explicitly request a tool:

Use the bootspring_agent tool with agent="database-expert" to design a schema.
Use the bootspring_skill tool with query="stripe subscriptions" to find patterns.

Tool Parameters

Each tool accepts specific parameters. For example:

bootspring_agent

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bootspring_skill

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bootspring_orchestrator

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Tool Categories

Intelligence Tools

Tools that provide AI-powered assistance:

  • bootspring_assist - General assistance with recommendations
  • bootspring_agent - Specialized expert guidance
  • bootspring_skill - Code pattern discovery

Automation Tools

Tools that automate development workflows:

  • bootspring_orchestrator - Multi-phase workflows
  • bootspring_loop - Autonomous execution
  • bootspring_quality - Automated quality checks

Management Tools

Tools for project and task management:

  • bootspring_todo - Task tracking
  • bootspring_context - Context management
  • bootspring_generate - Context generation

Tool Response Format

All tools return structured responses:

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Error responses:

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Tool Permissions

Some tools require specific tiers:

ToolFreeProTeam
bootspring_assist
bootspring_agentLimitedFullFull
bootspring_skillBuilt-inAllAll + Custom
bootspring_orchestratorBasicFullFull
bootspring_loop
bootspring_autopilot
bootspring_prd
bootspring_quality

Debugging Tools

Verbose Mode

Enable verbose tool output:

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Tool Logs

View tool invocation logs:

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Best Practices

1. Let the AI Choose

Usually, let your AI assistant choose the right tool:

Help me set up authentication

The AI will automatically use bootspring_skill and bootspring_agent as needed.

2. Be Specific for Complex Tasks

For complex tasks, specify the tool:

Use the bootspring_orchestrator tool to start the launch workflow

3. Chain Tools

Tools can be chained together:

First use bootspring_skill to find the auth pattern, then use bootspring_agent with security-expert to review it.

4. Check Capabilities First

Discover what's available:

Use bootspring_capabilities to show what tools I have access to.

Complete Tool Reference

Quick Reference Table

ToolPrimary UseKey Parameters
bootspring_assistGeneral helpquery, context, format
bootspring_contextContext queriesaction, query
bootspring_agentExpert guidanceagent, task, context
bootspring_skillCode patternsquery, category, limit
bootspring_generateContext genforce, sections
bootspring_todoTask managementaction, task, id
bootspring_prdRequirementsaction, feature
bootspring_memoryLearningsquery, type
bootspring_orchestratorWorkflowsaction, workflow, phase
bootspring_loopAutonomoustask, maxIterations
bootspring_autopilotGit automationevent, config
bootspring_seedScaffoldingaction, template
bootspring_mvpMVP importsource, analyze
bootspring_pluginPluginsaction, plugin
bootspring_capabilitiesDiscoverycategory
bootspring_dashboardDashboardaction
bootspring_qualityQuality gatesgate, files
bootspring_telemetryTelemetryaction, event
bootspring_contentContent gentype, topic
observer-session-metricsSession analyticssessionId
observer-intelligenceFull analysissessionId
observer-efficiencyEfficiency scoresessionId
observer-patternsAnti-patternssessionId
observer-optimizeCost optimization
autopilot-statusAutopilot status
autopilot-suggestionsSuggestionslimit
autopilot-configConfigmode, key, value

Next Steps