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brettapps MCP Agent Workforce

brettapps MCP Agent Workforce

by brettanthonysjoberg179-lab
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Python
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brettapps MCP Agent Workforce

BrettApps — MCP Server Agents, one per agent, integrated with local Ollama models.

Architecture

brettapps/
├── agents/                  # One folder per agent
│   ├── manuscript_author/   # Manuscript author agent
│   │   ├── agent.py        # Agent logic (BaseAgent subclass)
│   │   └── server.py       # FastAPI MCP server exposing tools
│   ├── ebook_production/    # Ebook production agent
│   ├── market_research/     # Market research agent
│   ├── cover_creative_director/
│   ├── editorial/
│   ├── fact_check_compliance/
│   ├── cloud_archivist/
│   ├── analytics_optimisation/
│   ├── positioning_offer/
│   ├── sales_copy/
│   ├── funnel_fulfillment/
│   ├── launch_strategist/
│   ├── product_director/
│   ├── outline_architect/
│   ├── credentials_manager/
│   ├── obsidian_knowledge_manager/
│   └── google_drive_agent/
├── models/                  # Shared Ollama client
│   └── ollama_client.py
├── shared/                  # Shared utilities
│   ├── base.py             # BaseAgent class
│   └── config.py           # Config loader
├── pyproject.toml
├── README.md
├── Makefile
└── AGENTS.md

Related MCP server: forge-mcp

Running

# Start a single agent MCP server
uvicorn agents.manuscript_author.server:app --host 127.0.0.1 --port 8001

# Start all agents (one port each, 8001+)
make run-all

Ollama Models

  • brettanthonysjoberg179/brettapps:latest (Llama 3.2 3.2B Q4_K_M) — default agent model

  • gemma3:4b — fallback small model

  • gemma4:31b-cloud — large model for complex tasks

Agent Conventions

  • Each agent has execute() returning dict with status, message, and agent-specific data

  • MCP tools map 1:1 to agent capabilities

  • All agents use the shared Ollama client for LLM calls

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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