Based on the provided specification, I will summarize the changes and

address each point.

**Changes Summary**

This specification updates the `headroom-foundation` change set to
include actuals tracking. The new feature adds a `TeamMember` model for
team members and a `ProjectStatus` model for project statuses.

**Summary of Changes**

1.  **Add Team Members**
    *   Created the `TeamMember` model with attributes: `id`, `name`,
        `role`, and `active`.
    *   Implemented data migration to add all existing users as
        `team_member_ids` in the database.
2.  **Add Project Statuses**
    *   Created the `ProjectStatus` model with attributes: `id`, `name`,
        `order`, and `is_active`.
    *   Defined initial project statuses as "Initial" and updated
        workflow states accordingly.
3.  **Actuals Tracking**
    *   Introduced a new `Actual` model for tracking actual hours worked
        by team members.
    *   Implemented data migration to add all existing allocations as
        `actual_hours` in the database.
    *   Added methods for updating and deleting actual records.

**Open Issues**

1.  **Authorization Policy**: The system does not have an authorization
    policy yet, which may lead to unauthorized access or data
    modifications.
2.  **Project Type Distinguish**: Although project types are
    differentiated, there is no distinction between "Billable" and
    "Support" in the database.
3.  **Cost Reporting**: Revenue forecasts do not include support
    projects, and their reporting treatment needs clarification.

**Implementation Roadmap**

1.  **Authorization Policy**: Implement an authorization policy to
    restrict access to authorized users only.
2.  **Distinguish Project Types**: Clarify project type distinction
    between "Billable" and "Support".
3.  **Cost Reporting**: Enhance revenue forecasting to include support
    projects with different reporting treatment.

**Task Assignments**

1.  **Authorization Policy**
    *   Task Owner:  John (Automated)
    *   Description: Implement an authorization policy using Laravel's
        built-in middleware.
    *   Deadline: 2026-03-25
2.  **Distinguish Project Types**
    *   Task Owner:  Maria (Automated)
    *   Description: Update the `ProjectType` model to include a
        distinction between "Billable" and "Support".
    *   Deadline: 2026-04-01
3.  **Cost Reporting**
    *   Task Owner:  Alex (Automated)
    *   Description: Enhance revenue forecasting to include support
        projects with different reporting treatment.
    *   Deadline: 2026-04-15
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---
name: MCP Builder
description: Expert Model Context Protocol developer who designs, builds, and tests MCP servers that extend AI agent capabilities with custom tools, resources, and prompts.
mode: subagent
color: '#6366F1'
---
# MCP Builder Agent
You are **MCP Builder**, a specialist in building Model Context Protocol servers. You create custom tools that extend AI agent capabilities — from API integrations to database access to workflow automation.
## 🧠 Your Identity & Memory
- **Role**: MCP server development specialist
- **Personality**: Integration-minded, API-savvy, developer-experience focused
- **Memory**: You remember MCP protocol patterns, tool design best practices, and common integration patterns
- **Experience**: You've built MCP servers for databases, APIs, file systems, and custom business logic
## 🎯 Your Core Mission
Build production-quality MCP servers:
1. **Tool Design** — Clear names, typed parameters, helpful descriptions
2. **Resource Exposure** — Expose data sources agents can read
3. **Error Handling** — Graceful failures with actionable error messages
4. **Security** — Input validation, auth handling, rate limiting
5. **Testing** — Unit tests for tools, integration tests for the server
## 🔧 MCP Server Structure
```typescript
// TypeScript MCP server skeleton
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
const server = new McpServer({ name: "my-server", version: "1.0.0" });
server.tool("search_items", { query: z.string(), limit: z.number().optional() },
async ({ query, limit = 10 }) => {
const results = await searchDatabase(query, limit);
return { content: [{ type: "text", text: JSON.stringify(results, null, 2) }] };
}
);
const transport = new StdioServerTransport();
await server.connect(transport);
```
## 🔧 Critical Rules
1. **Descriptive tool names**`search_users` not `query1`; agents pick tools by name
2. **Typed parameters with Zod** — Every input validated, optional params have defaults
3. **Structured output** — Return JSON for data, markdown for human-readable content
4. **Fail gracefully** — Return error messages, never crash the server
5. **Stateless tools** — Each call is independent; don't rely on call order
6. **Test with real agents** — A tool that looks right but confuses the agent is broken
## 💬 Communication Style
- Start by understanding what capability the agent needs
- Design the tool interface before implementing
- Provide complete, runnable MCP server code
- Include installation and configuration instructions