CNHK MCP Server

A comprehensive Model Context Protocol (MCP) server for quantitative trading platform integration. This package provides a complete set of tools for interacting with quantitative trading APIs, managing simulations, and accessing financial data.

Features

  • API Integration: Complete API client for quantitative trading platforms
  • Simulation Management: Create, monitor, and manage trading simulations
  • Data Access: Retrieve datasets, data fields, and financial information
  • Alpha Management: Comprehensive alpha factor management and analysis
  • Forum Integration: Access to support forums and documentation
  • Performance Analysis: Advanced performance metrics and correlation analysis
  • Competition Support: Tools for trading competitions and leaderboards

Installation

pip install cnhkmcp

Quick Start

from cnhkmcp import BrainApiClient

# Initialize client
client = BrainApiClient()

# Authenticate
await client.authenticate("your_email@example.com", "your_password")

# Create a simulation
simulation_data = {
    "type": "REGULAR",
    "settings": {
        "instrumentType": "EQUITY",
        "region": "USA",
        "universe": "TOP3000"
    },
    "regular": "your_alpha_formula"
}

result = await client.create_simulation(simulation_data)
print(f"Simulation created: {result}")

Main Components

API Client (pythonmcp.py)

  • Authentication and session management
  • Simulation creation and monitoring
  • Alpha factor management
  • Data retrieval and analysis
  • Performance metrics

Forum Client (forum_functions.py)

  • Glossary term extraction
  • Forum post search and reading
  • Support documentation access

Usage Examples

Authentication

from cnhkmcp import authenticate

result = await authenticate("email@example.com", "password")
print(f"Authentication status: {result}")

Create Simulation

from cnhkmcp import create_simulation

result = await create_simulation(
    type="REGULAR",
    instrument_type="EQUITY",
    region="USA",
    universe="TOP3000",
    regular="your_alpha_formula_here"
)

Get Alpha Details

from cnhkmcp import get_alpha_details

alpha_info = await get_alpha_details("alpha_id_here")
print(f"Alpha details: {alpha_info}")

Search Forum Posts

from cnhkmcp import search_forum_posts

results = await search_forum_posts(
    email="email@example.com",
    password="password",
    search_query="alpha formula"
)

Configuration

The package supports configuration through JSON files:

  • user_config.json: User-specific settings
  • brain_config.json: Platform configuration

Requirements

  • Python 3.8+
  • Chrome browser (for forum functionality)
  • Valid platform credentials

Dependencies

  • requests
  • pandas
  • selenium
  • beautifulsoup4
  • mcp
  • pydantic

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For support and questions, please refer to the documentation or create an issue in the repository.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (4.3.6)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for tangjikede from gravatar.com tangjikede

Credits

Author: cnhkmcp

License

MIT License

Requires

Python >=3.8

Provides Extra

dev

Tags

mcp quantitative trading api client

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cnhkmcp-4.3.5.tar.gz (72.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cnhkmcp-4.3.5-py3-none-any.whl (73.8 MB view details)

Uploaded Python 3

File details

Details for the file cnhkmcp-4.3.5.tar.gz.

File metadata

  • Download URL: cnhkmcp-4.3.5.tar.gz
  • Upload date:
  • Size: 72.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cnhkmcp-4.3.5.tar.gz
Algorithm Hash digest
SHA256 09f1a24336bd2a52188d13e504d01f0d857d412e7b04ca6b6ed9ad03a7207dc2
MD5 83b3077d07b9737e7425a43f9eeb44d6
BLAKE2b-256 3268dee181b196b49238baa8fab32132b8232b24a5ecad1e02e9b5906426bfbe

See more details on using hashes here.

File details

Details for the file cnhkmcp-4.3.5-py3-none-any.whl.

File metadata

  • Download URL: cnhkmcp-4.3.5-py3-none-any.whl
  • Upload date:
  • Size: 73.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cnhkmcp-4.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 69b44933ceaf197b4ba5e891f05745b4ed3ab583ce909174bc21241cf4c29189
MD5 d6f771afbe80779ce8e9b23460af2ff4
BLAKE2b-256 648dcfe7ed13e1652efb675c243afeeb5ade8d24f05adce2156ea8a3ba6539bb

See more details on using hashes here.

Release history Release notifications | RSS feed

4.3.6

2 files

This release

4.3.5 This release

2 files

4.3.4

2 files

4.3.3

2 files

4.3.2

2 files

4.3.1

2 files

4.3.0

2 files

4.2.9

2 files

4.2.8

2 files

4.2.7

2 files

4.2.6

2 files

4.2.5

2 files

4.2.4

2 files

4.2.3

2 files

4.2.2

2 files

4.2.1

2 files

4.2.0

2 files

4.1.9

2 files

4.1.8

2 files

4.1.7

2 files

4.1.6

2 files

4.1.5

2 files

4.1.4

2 files

4.1.3

2 files

4.0.1

2 files

3.1.15

2 files

3.1.14

2 files

3.1.13

2 files

3.1.12

2 files

3.1.11

2 files

3.1.10

2 files

3.1.9

2 files

3.1.7

1 file

3.1.6

2 files

3.1.5

2 files

3.1.4

2 files

3.1.3

2 files

3.1.2

2 files

3.1.1

2 files

3.1.0

2 files

3.0.0

2 files

2.3.20

2 files

2.3.19

2 files

2.3.18

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page