semvec/pypi-packages huggingface dataset:
py-mcp-agent 0.0.2.dev1
Placeholder for the official Python SDK for the Intelligent Agents Platform (IAP) . Coming soon!
Requires Python: >=3.8

# mcp-agent-client

**⚠️ Legacy MCP Client - Consider using py-agent ecosystem instead**

![PyPI](https://img.shields.io/pypi/v/mcp-agent-client)
![Python](https://img.shields.io/pypi/pyversions/mcp-agent-client)

## 📢 Migration Notice

This package has been superseded by the **py-agent ecosystem**. For new projects, please use:

- **py-agent-core** - Core MCP functionality
- **py-agent-client** - Modern client implementation
- **py-agent-server** - Server implementation
- **py-agent-tool** - Additional tools

## 🎯 What is mcp-agent-client?

The original MCP (Model Context Protocol) client implementation. This package provides basic functionality for connecting to MCP servers but is now considered legacy.

## 🚀 Quick Start

```bash
pip install mcp-agent-client
```

```python
from mcp_agent_client import MCPClient

# Basic usage (legacy)
client = MCPClient()
client.connect("localhost:8080")
```

## ⬆️ Migration Guide

### Old (mcp-agent-client):
```python
from mcp_agent_client import MCPClient
client = MCPClient()
```

### New (py-agent-client):
```python
from py_agent_client import MCPClient
client = MCPClient()
# Enhanced features and better performance
```

## 🔄 Recommended Migration

1. **Install new ecosystem:**
   ```bash
   pip install py-agent-client
   ```

2. **Update imports:**
   ```python
   # Old
   from mcp_agent_client import MCPClient
   
   # New
   from py_agent_client import MCPClient
   ```

3. **Enjoy enhanced features:**
   - Better error handling
   - Improved performance
   - More comprehensive tooling
   - Active development

## 🚧 Support Status

- ⚠️ **Legacy support only**
- 🚫 **No new features**
- ✅ **Critical bug fixes only**
- 📈 **Migrate to py-agent-client recommended**

## 📦 py-agent Ecosystem

For new projects, use the modern ecosystem:

```bash
pip install py-agent-core py-agent-client py-agent-server py-agent-tool
```

## 📄 License

Apache License 2.0

## 🤝 Migration Support

Need help migrating? Check out the **py-agent-client** documentation or open an issue.

---

**Built with ❤️ by fmonfasanidev**

**✨ Upgrade to py-agent ecosystem for the best experience! ✨**
django-postgres-copy 2.8.0
Quickly import and export delimited data with Django support for PostgreSQL's COPY command
Requires Python: >=3.9

### Links

-  Documentation: [palewi.re/docs/django-postgres-copy/](https://palewi.re/docs/django-postgres-copy/)
-  Issues: [github.com/palewire/django-postgres-copy/issues](https://github.com/palewire/django-postgres-copy/issues)
-  Packaging: [pypi.python.org/pypi/django-postgres-copy](https://pypi.python.org/pypi/django-postgres-copy)
-  Testing: [github.com/palewire/django-postgres-copy/actions](https://github.com/palewire/django-postgres-copy/actions/workflows/test.yaml)

### Contributing

To set up a development environment, run `pipenv install` after forking and cloning the repository.
To run tests, use `pipenv run pytest tests`
langchain-search-django 0.7.0
A Django app for integrating LangChain with search capabilities
Requires Python: >=3.11

# Overview

This project uses langchain (currently only OpenAI) to search a Django model.
Simply use LangChainSearchMixin in your view, and let the user perform
a query with the `?q=` parameter.
Example:
```
http://127.0.0.1:8000/api/jobs/?q=Engineer jobs posted after or on June 22 2025 salary minimum 40000 hybrid
```

The human language query will be converted to your model fields using LangChain
and ChatGPT.

# Installation


This project runs with `uv`.
```
pip install uv
uv sync --frozen
```

To add to your django project
Add this to apps: `'langchain_search'`


You need to also set your openai key

```
export OPENAI_API_KEY=....
```


# Usage example

```
from .models import Job
from rest_framework import generics
from .serializers import JobSerializer
from langchain_search import LangChainSearchMixin

# Add mixin here
class JobListAPI(LangChainSearchMixin, generics.ListAPIView):
    queryset = Job.objects.all()
    serializer_class = JobSerializer

    def get(self, request, *args, **kwargs):
        return super().get(request, *args, **kwargs)
```

Example project: https://github.com/errietta/django-langchain-search-example