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2025-04-14

Planes de pensamientos ChangeLog es un servidor compatible con MCP para codificar con agentes de IA

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TPC Server - Model Context Protocol (MCP) Implementation

Python 3.8+ SQLAlchemy 2.0

A production-ready MCP server for tracking AI team coordination through Thoughts, Plans, and Changelog (TPC) entries. Built with SQLAlchemy async and FastMCP, optimized for software development collaboration.


Features

Structured Collaboration

  • Track decision-making (Thoughts), task coordination (Plans), and progress (Changelog)
  • Dependency management for complex workflows
  • Uncertainty flagging for critical design decisions

Performance Optimized

  • Async SQLAlchemy 2.0 with connection pooling
  • Time-ordered UUIDs (UUID7) for chronological traceability
  • Cached queries with 5-minute TTL

Developer-Friendly

  • Full MCP interface compliance
  • REST-like resource endpoints for data access
  • Comprehensive Pydantic validation

Quick Start

# 1. Clone repository
git clone https://github.com/suttonwilliamd/tpc-server.git
cd tpc-server

# 2. Install dependencies
pip install -r requirements.txt

# 3. Run server (SQLite auto-created)
uvicorn main:mcp --reload --port 8000

Core Concepts

1. Thoughts

# Log design decisions or uncertainties
create_thought(
    content="Choosing React over Vue for frontend",
    plan_id="pl_frontend_123",
    uncertainty_flag=True
)

2. Plans

# Define tasks with dependencies
create_plan(
    description="Implement user authentication",
    dependencies=["pl_database_setup", "pl_security_audit"]
)

3. Changelog

# Track implementation progress
log_change(
    plan_id="pl_auth_456",
    description="Added JWT token endpoints",
    thought_ids=["th_design_decision_789"]
)

Advanced Usage

AI Agent Integration

# Example pre-commit hook validation
modified_files = get_git_changes()
tpc_entries = query_tpc_server()

for file in modified_files:
    if not has_corresponding_tpc_entry(file, tpc_entries):
        raise Exception(f"Missing TPC entry for {file}")

API Reference

Endpoint Method Description
/mcp/thoughts POST Create new thought
/mcp/plans POST Define new plan with dependencies
/mcp/changelog POST Log implementation changes
/mcp/plans/{id} GET Get plan details with dependencies

Architecture

graph TD
    A[Thoughts] -->|reference| B(Plans)
    B -->|depend_on| B
    C[Changelog] -->|link| A
    C -->|track| B

Production Setup

# Optimal deployment
uvicorn main:mcp \
  --host 0.0.0.0 \
  --port 8000 \
  --workers 1 \  # Recommended for SQLite
  --proxy-headers

Contributing

  1. Fork repository
  2. Create feature branch (git checkout -b feature/tpc-enhancements)
  3. Commit changes (git commit -am 'Add new feature')
  4. Push branch (git push origin feature/tpc-enhancements)
  5. Open pull request

Inspired by the Awesome MCP Servers community . For MCP client implementations, see FastMCP documentation.

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    Reviews

    2 (1)
    Avatar
    user_1PZPOEot
    2025-04-17

    I've been using tpc-server by suttonwilliamd, and it has been a game-changer for my projects. The implementation and functionality are top-notch, and the documentation is very clear. The fact that it's open-source and available on GitHub makes it even better. Highly recommend!