Metadata-Version: 2.4
Name: sef-agents
Version: 3.2.0
Summary: SEF Agents — AI-powered guidance for the Synchronous Engineering Framework. Built on Model Context Protocol (MCP).
Project-URL: Homepage, https://github.com/Mishtert/sef-agents
Project-URL: Repository, https://github.com/Mishtert/sef-agents
Author: Mishtert T
License: MIT
Requires-Python: >=3.12
Requires-Dist: fastmcp>=2.14.1
Requires-Dist: mcp>=1.25.0
Requires-Dist: networkx>=3.4
Requires-Dist: pydantic>=2.12.5
Requires-Dist: pytest>=9.0.2
Requires-Dist: structlog>=25.5.0
Requires-Dist: tree-sitter-markdown>=0.3.0
Requires-Dist: tree-sitter-python>=0.21.0
Requires-Dist: tree-sitter-typescript>=0.21.0
Requires-Dist: tree-sitter>=0.21.0
Requires-Dist: watchdog>=4.0.0
Description-Content-Type: text/markdown

# SEF Agents

![Security Scan](https://github.com/Mishtert/sef-agents/actions/workflows/security-scan.yml/badge.svg)
![Python 3.13+](https://img.shields.io/badge/python-3.13+-blue.svg)

**AI-Powered Guidance for the Synchronous Engineering Framework**

SEF Agents provides agent-based AI guidance, codebase mapping, and quality enforcement for the Synchronous Engineering Framework (SEF).

> *Built on [Anthropic's Model Context Protocol (MCP)](https://modelcontextprotocol.io/) for universal AI assistant compatibility.*

---

## Table of Contents

- [What This Does](#what-this-does)
- [Features](#features)
- [Security](#security)
- [Installation](#installation)
- [Configuration](#configuration)
- [Local Development](#local-development)
- [Quick Start](#quick-start)
- [Contributing](#contributing)
- [About](#about)
- [License](#license)

---

## What This Does

SEF Agents is an **MCP server** that connects to your AI assistant (Cursor, Claude Desktop, Windsurf). Once connected, it provides:

1. **Agent-based prompts** — Specialized guidance for 13 agents (10 SDLC + 3 utility)
2. **Quality enforcement tools** — Scan code for compliance, debt, security
3. **Workflow orchestration** — Track story state, dependencies, handoffs

**Important:** This is not a standalone app. It requires an MCP-compatible AI assistant.

---

## Features

### Agent-Based Guidance (13 Agents)

#### SDLC Workflow Agents (10)

| Agent | Function |
|------|----------|
| `discovery` | Brownfield codebase scanning, CODE_MAP generation |
| `product_manager` | Requirements, acceptance criteria |
| `qa_lead` | Validates AC *before* development begins |
| `architect` | System design, boundaries, integration points |
| `developer` | Elite Code Quality Protocol enforcement |
| `tester` | Test standards, real-execution tests |
| `pr_reviewer` | PR review, AI anti-pattern detection |
| `scrum_master` | Process orchestration, handoff tracking |
| `security_owner` | Security audit, vulnerability scanning |
| `test_designer` | Conceptual test design, BDD architecture |

#### Utility Agents (3) — On-Demand

| Agent | Function |
|------|----------|
| `forensic_engineer` | Incident investigation, 5 Whys, post-mortems |
| `strategist` | Solution brainstorming, trade-off analysis |
| `platform_engineer` | DevEx, health scanning, code quality enforcement |

### Quality Tools

| Tool | What It Does |
|------|--------------|
| `generate_codemap` | Auto-document directory structure |
| `validate_compliance` | Check code against SEF standards |
| `detect_ai_patterns` | Find AI-generated code smells |
| `scan_debt` | Detect technical debt (TODOs, bare exceptions, etc.) |
| `scan_external_dependencies` | Find env vars, API clients, external URLs |
| `scan_code_quality` | AST-based pe_rules enforcement (bare except, types, logging) |
| `scan_health` | Unified health report across all quality dimensions |

### Workflow Tools

| Tool | What It Does |
|------|--------------|
| `init_workflow` | Start tracking a story |
| `get_workflow_state` | See current phase, blockers, artifacts |
| `suggest_next_agent` | Auto-suggest agent transitions |
| `generate_story_dependency_graph` | Visualize story dependencies |
| `detect_flow_gaps` | Find broken E2E flows |

---

## Security

SEF Agents is designed with security as a core principle:

- ✅ **No Network Calls**: Contains no HTTP clients, sockets, or external communication
- ✅ **No Data Exfiltration**: All operations are local-only
- ✅ **No Hardcoded Secrets**: Scanned for credentials and API keys
- ✅ **Audited Dependencies**: All dependencies use permissive OSS licenses
- ✅ **Stdio Transport Only**: Communication via standard input/output streams

### Run Security Audit

Enterprise customers can verify these claims:

```bash
# Run full security audit
uv run python -m sef_agents.security_scan

# Output JSON for CI/CD
uv run python -m sef_agents.security_scan --format json
```

See [SECURITY.md](SECURITY.md) for full security policy and architecture details.

---

## Installation

### Prerequisites
- `uv` or `uvx` ([Install uv](https://docs.astral.sh/uv/getting-started/installation/))
- Python 3.12+ (Windows users: see [WINDOWS_TROUBLESHOOTING.md](WINDOWS_TROUBLESHOOTING.md) if encountering installation issues)

### Client Compatibility
SEF Agents uses **stdio** transport (Standard Input/Output). It works with:
- Claude Desktop
- Cursor
- Windsurf
- Any MCP-compatible client supporting `stdio`

> **Note**: Gemini and GitHub Copilot do not currently support MCP.

---

## Configuration

**Simple installation** — works like Playwright MCP. No cloning required.

### Cursor (Recommended)

Add to `~/.cursor/mcp.json` (global) or `.cursor/mcp.json` (project-local):

```json
{
  "mcpServers": {
    "sef-agents": {
      "command": "uvx",
      "args": ["sef-agents"]
    }
  }
}
```

**Via UI:**
1. Settings → MCP → + Add New MCP Server
2. Name: `sef-agents`
3. Type: `command`
4. Command: `uvx sef-agents`

### Claude Desktop

Add to `claude_desktop_config.json`:

- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "sef-agents": {
      "command": "uvx",
      "args": ["sef-agents"]
    }
  }
}
```

### Windsurf

Add to `~/.codeium/windsurf/mcp_config.json`:

```json
{
  "mcpServers": {
    "sef-agents": {
      "command": "uvx",
      "args": ["sef-agents"]
    }
  }
}
```

### Install from GitHub (Development/Unpublished)

If not yet published to PyPI, use GitHub:

```json
{
  "mcpServers": {
    "sef-agents": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/Mishtert/sef-agents",
        "sef-agents"
      ]
    }
  }
}
```

**Note for Windows users:** If you encounter `pywin32` access denied errors, see [WINDOWS_TROUBLESHOOTING.md](WINDOWS_TROUBLESHOOTING.md) for solutions. Prefer using PyPI version (`uvx sef-agents`) when available.

---

## Local Development

For contributors or local testing:

```bash
git clone https://github.com/Mishtert/sef-agents.git
cd sef-agents
uv sync
uv run sef-agents
```

---

## Quick Start

### 1. Verify Connection

After adding the config, restart your AI assistant. In Cursor:
- Open Settings → MCP
- Look for `sef-agents` with a green status indicator

### 2. Try These Commands

Type these in your AI assistant to verify it's working:

```
"What SEF agents are available?"
```
**Expected:** List of 13 agents with descriptions.

```
"Set my agent to developer"
```
**Expected:** Elite Code Quality Protocol injected. AI now enforces coding standards.

```
"Generate a codemap for this directory"
```
**Expected:** CODE_MAP.md structure with files, purposes, dependencies.

```
"Scan this directory for technical debt"
```
**Expected:** Report of TODOs, bare exceptions, missing types, long functions.

### 3. Full Workflow Example

```
1. "Set agent to discovery" → Scans codebase, generates documentation
2. "Set agent to product_manager" → Write requirements with testable AC
3. "Set agent to qa_lead" → Validate AC before development
4. "Set agent to developer" → Implement with quality enforcement
5. "Set agent to pr_reviewer" → Review for compliance + AI patterns
```

### Troubleshooting

| Issue | Solution |
|-------|----------|
| MCP not connecting | Restart AI assistant after config change |
| `uvx` not found | Install uv: `curl -LsSf https://astral.sh/uv/install.sh \| sh` |
| Tools not appearing | Check MCP status in settings; verify JSON syntax |
| Agent not activating | Use exact agent name: `developer` |

---

## Contributing

We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for:

- Code of conduct
- Development setup
- PR submission guidelines
- Testing requirements

**Version History:** See [GitHub Releases](https://github.com/Mishtert/sef-agents/releases) for changelog.

---

## About

SEF Agents implements the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/), an open standard developed by Anthropic for connecting AI assistants to external tools and data sources. This ensures compatibility with a wide ecosystem of AI development tools.

**SEF Agents** is part of the **Synchronous Engineering Framework (SEF)** — a methodology for collapsing the software delivery lifecycle through intelligent parallelism and agent orchestration.

---

## License

Proprietary. All rights reserved.
