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removed MCP server code and moved to acedanger/finance-mcp

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mcp/README.md
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# Finance MCP Server
A Model Control Protocol (MCP) server implementation for financial transaction management.
## Current Implementation
The server currently provides a basic REST API for managing financial transactions with the following features:
- FastAPI-based REST API
- In-memory transaction storage
- Basic CRUD operations for transactions
- Data validation using Pydantic models
- Auto-generated API documentation (Swagger UI)
### Project Structure
```
mcp/
├── mcp_server.py # Main server implementation
├── requirements.txt # Python dependencies
└── start_server.sh # Server startup script
```
## Setup Instructions
1. Install Python dependencies:
```bash
pip install -r requirements.txt
```
2. Make the start script executable:
```bash
chmod +x start_server.sh
```
3. Start the server:
```bash
./start_server.sh
```
The server will start on `http://localhost:8000` with the following endpoints:
- `/` - Health check endpoint
- `/docs` - Auto-generated API documentation (Swagger UI)
- `/transactions` - Transaction management endpoints
- GET /transactions - List all transactions
- POST /transactions - Create a new transaction
- GET /transactions/{id} - Get a specific transaction
## API Usage
### Create a Transaction
```bash
curl -X POST "http://localhost:8000/transactions" \
-H "Content-Type: application/json" \
-d '{
"amount": 100.00,
"description": "Grocery shopping",
"category": "expenses"
}'
```
### List All Transactions
```bash
curl "http://localhost:8000/transactions"
```
## Recommended Next Steps
1. **Database Integration**
- Implement PostgreSQL integration using SQLAlchemy
- Add database migrations
- Create proper data models
- Add transaction persistence
2. **Authentication & Authorization**
- Implement JWT-based authentication
- Add user management
- Role-based access control
- API key authentication for machine-to-machine communication
3. **Enhanced Features**
- Add transaction categories management
- Implement transaction search and filtering
- Add date range queries
- Support for different currencies
- Transaction metadata support
4. **Security Enhancements**
- Input validation and sanitization
- Rate limiting
- CORS configuration
- Request logging and monitoring
- SSL/TLS configuration
5. **Testing**
- Unit tests for models and endpoints
- Integration tests
- Load testing
- API documentation tests
6. **Monitoring & Logging**
- Structured logging
- Prometheus metrics
- Health check endpoints
- Error tracking
- Performance monitoring
7. **DevOps**
- Docker containerization
- CI/CD pipeline
- Environment configuration
- Backup strategy
- Deployment documentation
8. **API Enhancements**
- Pagination
- Sorting options
- Bulk operations
- Webhook support
- Event streaming
9. **Documentation**
- API documentation
- Development guide
- Deployment guide
- Contributing guidelines
10. **Compliance & Standards**
- GDPR compliance
- Financial regulations compliance
- API versioning
- Error handling standards
- Audit logging
## Contributing
Please read our contributing guidelines before submitting pull requests.
## License
[Add your chosen license here]

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mcp/mcp-issues.md
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# MCP Server Enhancement Issues
## Priority 1: Core Infrastructure
### Issue 1: Database Integration with Existing PostgreSQL Setup
**Labels**: `enhancement`, `database`, `priority-high`
#### Description
Currently, the MCP server uses in-memory storage for transactions. We need to integrate it with the existing PostgreSQL database.
#### Tasks
- [ ] Add SQLAlchemy to requirements.txt
- [ ] Create database models that align with existing Prisma schema
- [ ] Implement database connection handling
- [ ] Convert in-memory operations to database operations
- [ ] Add database migration system
- [ ] Add connection error handling
- [ ] Add database connection pooling
#### Technical Details
- Use existing PostgreSQL setup from docker-compose.yml
- Align with existing Prisma schema structure
- Implement proper connection closing and resource cleanup
#### Dependencies
- SQLAlchemy
- alembic (for migrations)
- psycopg2-binary
**Estimated time**: 3-4 days
---
### Issue 2: Authentication System Implementation
**Labels**: `enhancement`, `security`, `priority-high`
#### Description
Implement secure authentication system for the MCP server endpoints.
#### Tasks
- [ ] Add JWT authentication
- [ ] Create authentication middleware
- [ ] Implement user session management
- [ ] Add API key authentication for machine-to-machine communication
- [ ] Integrate with existing user system from the main application
- [ ] Add rate limiting for authentication attempts
- [ ] Implement secure password handling
#### Technical Details
- Use Python-JWT for token handling
- Integrate with existing user schema from Prisma
- Implement token refresh mechanism
- Add proper error handling for auth failures
#### Dependencies
- python-jose[cryptography]
- passlib[bcrypt]
- python-multipart
#### Security Considerations
- Token expiration
- Secure password hashing
- Protection against brute force attacks
**Estimated time**: 2-3 days
---
## Priority 2: Feature Enhancements
### Issue 3: Enhanced Transaction Features
**Labels**: `enhancement`, `feature`, `priority-medium`
#### Description
Add enhanced features for transaction management and querying.
#### Tasks
- [ ] Implement transaction categories management
- [ ] Add transaction search functionality
- [ ] Date range filtering
- [ ] Amount range filtering
- [ ] Category filtering
- [ ] Description search
- [ ] Add pagination for transaction listings
- [ ] Implement sorting options
- [ ] Add support for different currencies
- [ ] Implement transaction metadata support
#### Technical Details
- Add proper indexing for search operations
- Implement efficient pagination
- Add currency conversion support
- Add proper validation for all new fields
#### API Endpoints to Add
- GET /transactions/search
- GET /categories
- POST /categories
- PUT /transactions/{id}/metadata
**Estimated time**: 3-4 days
---
## Priority 3: Observability & Quality
### Issue 4: Monitoring and Logging Setup
**Labels**: `enhancement`, `observability`, `priority-medium`
#### Description
Implement monitoring and logging systems for better observability.
#### Tasks
- [ ] Set up structured logging
- [ ] Request logging
- [ ] Error logging
- [ ] Performance metrics
- [ ] Add Prometheus metrics
- [ ] Request counts
- [ ] Response times
- [ ] Error rates
- [ ] Implement detailed health check endpoints
- [ ] Add performance monitoring
- [ ] Set up error tracking
#### Technical Details
- Use Python logging module with JSON formatter
- Implement OpenTelemetry integration
- Add proper error context collection
- Implement custom metrics for financial operations
#### Dependencies
- prometheus-client
- opentelemetry-api
- opentelemetry-sdk
- python-json-logger
**Estimated time**: 2-3 days
---
### Issue 5: Testing Infrastructure
**Labels**: `enhancement`, `testing`, `priority-medium`
#### Description
Set up complete testing infrastructure for the MCP server.
#### Tasks
- [ ] Set up unit testing framework
- [ ] Implement integration tests
- [ ] Add API documentation tests
- [ ] Create load testing suite
- [ ] Set up test data fixtures
- [ ] Implement CI pipeline for tests
#### Test Coverage Areas
- [ ] Transaction operations
- [ ] Authentication
- [ ] Database operations
- [ ] Error handling
- [ ] API endpoints
- [ ] Data validation
#### Technical Details
- Use pytest for testing
- Implement proper test database handling
- Add mock services for external dependencies
- Set up GitHub Actions for CI
#### Dependencies
- pytest
- pytest-cov
- pytest-asyncio
- locust (for load testing)
**Estimated time**: 4-5 days
---
## Priority 4: DevOps & Documentation
### Issue 6: Docker & Deployment Setup
**Labels**: `enhancement`, `devops`, `priority-low`
#### Description
Containerize the MCP server and set up deployment infrastructure.
#### Tasks
- [ ] Create Dockerfile for MCP server
- [ ] Update docker-compose.yml to include MCP service
- [ ] Set up environment configuration
- [ ] Create deployment scripts
- [ ] Implement backup strategy
- [ ] Add health checks for container orchestration
#### Technical Details
- Multi-stage Docker build
- Environment variable configuration
- Volume management for persistent data
- Container health monitoring
**Estimated time**: 2-3 days
---
### Issue 7: Documentation Enhancement
**Labels**: `documentation`, `priority-low`
#### Description
Create comprehensive documentation for the MCP server.
#### Tasks
- [ ] Create API documentation
- [ ] Write development guide
- [ ] Create deployment guide
- [ ] Add contributing guidelines
- [ ] Document security practices
- [ ] Add troubleshooting guide
#### Areas to Cover
- Setup instructions
- API endpoints and usage
- Authentication flows
- Database schema
- Configuration options
- Deployment procedures
- Contributing workflow
- Security best practices
**Estimated time**: 2-3 days

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mcp/mcp_server.py
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from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from datetime import datetime
from typing import List, Optional
app = FastAPI(title="Finance MCP Server")
class Transaction(BaseModel):
id: Optional[int]
amount: float
description: str
timestamp: datetime = datetime.now()
category: str
# In-memory storage (replace with database in production)
transactions: List[Transaction] = []
@app.get("/")
async def root():
return {"status": "running", "service": "Finance MCP Server"}
@app.get("/transactions")
async def get_transactions():
return transactions
@app.post("/transactions")
async def create_transaction(transaction: Transaction):
transaction.id = len(transactions) + 1
transactions.append(transaction)
return transaction
@app.get("/transactions/{transaction_id}")
async def get_transaction(transaction_id: int):
for tx in transactions:
if tx.id == transaction_id:
return tx
raise HTTPException(status_code=404, detail="Transaction not found")

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mcp/requirements.txt
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fastapi==0.68.0
uvicorn==0.15.0
pydantic==1.8.2

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mcp/start_server.sh
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#!/bin/bash
uvicorn mcp_server:app --reload --port 8000