ValueCell

v1.0.0Finance & Fintechstable

ValueCell is a community-driven, multi-agent platform for financial applications.

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What is ValueCell?

ValueCell is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to valuecell is a community-driven, multi-agent platform for financial applications.

ValueCell is a community-driven, multi-agent platform for financial applications.

This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • ValueCell is a community-driven, multi-agent platform for fi

Use Cases

Financial application development
Multi-agent trading
Investment analytics
ValueCell-ai

Maintainer

LicenseApache-2.0
Languagepython
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx valuecell

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use ValueCell

ValueCell is a community-driven, multi-agent platform for financial applications that combines AI research agents, automated trading strategies, and news retrieval into a single desktop application. It connects to major cryptocurrency exchanges (Binance, OKX, Hyperliquid, Coinbase, Gate.io, MEXC) and supports multiple LLM providers (OpenAI, Google, Azure, DeepSeek) so you can research assets, build automated strategies, and monitor news with AI assistance. Developers and traders use it as an extensible foundation for building AI-powered fintech workflows and live trading systems.

Prerequisites

  • Git installed on your system
  • API keys for at least one supported LLM provider (OpenAI, Google Gemini, Azure, DeepSeek, OpenRouter, or SiliconFlow)
  • Exchange API keys and sufficient account balance if using live trading features
  • macOS, Windows, or Linux desktop environment
1

Clone the ValueCell repository

Clone the repository to get the full application code including the startup scripts for your platform.

git clone https://github.com/ValueCell-ai/valuecell.git
cd valuecell
2

Start the application (Linux/macOS)

Run the provided startup script which installs dependencies and launches the ValueCell application.

bash start.sh
3

Start the application (Windows)

On Windows, run the PowerShell startup script instead.

.\start.ps1
4

Download a pre-built release (optional)

If you prefer not to build from source, download the latest MacOS or Windows application from the GitHub Releases page and run the installer directly.

5

Open the web interface and configure AI models

Navigate to http://localhost:1420 in your browser. In the settings panel, enter your LLM provider API keys (e.g., OpenAI API key) and configure your preferred model.

6

Connect exchange accounts (for live trading)

In the web interface, go to Exchange Settings and enter your exchange API key and secret. Supported exchanges include Binance, OKX, Hyperliquid, Coinbase, Gate.io, and MEXC. Use read-only keys for research-only workflows.

7

Configure the MCP client

Once ValueCell is running locally, connect your AI assistant to its MCP endpoint for natural-language financial queries.

{
  "mcpServers": {
    "valuecell": {
      "url": "http://localhost:1420/mcp"
    }
  }
}

ValueCell Examples

Client configuration

MCP config for connecting to a locally running ValueCell instance.

{
  "mcpServers": {
    "valuecell": {
      "url": "http://localhost:1420/mcp"
    }
  }
}

Prompts to try

Use these prompts in your AI assistant to interact with the ValueCell multi-agent financial platform.

- "Run a deep research analysis on Bitcoin's fundamentals"
- "Summarize today's cryptocurrency news relevant to my portfolio"
- "Create an automated strategy to buy ETH when RSI drops below 30"
- "What is the current balance across my connected exchange accounts?"
- "Analyze the risk/return profile of my current positions"

Troubleshooting ValueCell

Application fails to start with dependency errors

Ensure you have all system dependencies installed. On macOS, run 'brew install cmake' if native build tools are missing. On Linux, ensure build-essential is installed (sudo apt install build-essential).

LLM provider API calls fail with authentication errors

Re-enter your API key in the Settings panel at http://localhost:1420. Different providers use different key formats — verify you are copying the full key including any prefix (e.g., 'sk-' for OpenAI).

Exchange API returns insufficient permissions errors

Verify that your exchange API key has the required permissions enabled (trading permission for automated strategies, read permission for balance/position monitoring). Regenerate the key on the exchange dashboard if unsure.

Frequently Asked Questions about ValueCell

What is ValueCell?

ValueCell is a Model Context Protocol (MCP) server that valuecell is a community-driven, multi-agent platform for financial applications. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install ValueCell?

Follow the installation instructions on the ValueCell GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with ValueCell?

ValueCell works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is ValueCell free to use?

Yes, ValueCell is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

Browse More Finance & Fintech MCP Servers

Explore all finance & fintech servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "valuecell": { "command": "npx", "args": ["-y", "valuecell"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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