What can you do with this server?

The Polygon.io MCP Server provides an LLM-friendly interface to access comprehensive financial market data through Polygon.io API endpoints as MCP tools. Key capabilities include: • **Market Data & Trading**: OHLC aggregates/bars for stocks, options, forex, and crypto; real-time and historical trades and quotes; daily open/close data with customizable time windows • **Market Snapshots**: Current snapshots for individual tickers, option contracts, crypto order books, entire markets, and gainers/losers across all asset types • **Reference Data**: Ticker details, supported symbols and types, company information, exchanges, and market conditions • **Corporate Actions & Fundamentals**: Historical dividends, stock splits, earnings data, financial statements, and fundamental company metrics • **Economic & Alternative Data**: Treasury yields, inflation data, economic indicators, short interest, and short volume metrics • **Benzinga Integration**: Analyst ratings, insights, earnings estimates, consensus data, firm details, guidance, and market commentary • **Futures Markets**: Contracts, quotes, trades, products, trading schedules, market status, and snapshots for futures • **News & Research**: Ticker-specific news articles, market research, and IPO information (upcoming and historical) • **Market Operations**: Trading hours, market holidays, and current exchange operating status The server supports filtering by date ranges, tickers, market types, and various parameters, making it suitable for both real-time market monitoring and historical financial analysis.

Which integrations are available for this server?

Provides access to comprehensive financial market data from [Polygon](/mcp/servers/integrations/polygon).io, including stock/options/forex/crypto aggregates, real-time and historical trades, market snapshots, ticker details, dividends data, and financial fundamentals.

IMPORTANT

:test_tube: This project is experimental and could be subject to breaking changes.

Massive.com MCP Server

GitHub release

A Model Context Protocol (MCP) server that provides access to Massive.com financial market data API through an LLM-friendly interface.

Overview

This server exposes all Massive.com API endpoints as MCP tools, providing access to comprehensive financial market data including:

Stock, options, forex, and crypto aggregates and bars
Real-time and historical trades and quotes
Market snapshots
Ticker details and reference data
Dividends and splits data
Financial fundamentals
Market status and holidays

Related MCP server: Dingo MCP Server

Installation

Prerequisites

Python 3.10+
A Massive.com API key
Astral UV
- For existing installs, check that you have a version that supports the uvx command.

Claude Code

First, install Claude Code

npm install -g @anthropic-ai/claude-code

Use the following command to add the Massive MCP server to your local environment. This assumes uvx is in your $PATH; if not, then you need to provide the full path to uvx.

# Claude CLI claude mcp add massive -e MASSIVE_API_KEY=your_api_key_here -- uvx --from git+https://github.com/massive-com/mcp_massive@v0.6.0 mcp_massive

This command will install the MCP server in your current project. If you want to install it globally, you can run the command with -s <scope> flag. See claude mcp add --help for more options.

To start Claude Code, run claude in your terminal.

If this is your first time using, follow the setup prompts to authenticate

You can also run claude mcp add-from-claude-desktop if the MCP server is installed already for Claude Desktop.

Claude Desktop

Follow the Claude Desktop MCP installation instructions to complete the initial installation and find your configuration file.
Use the following example as reference to add Massive's MCP server. Make sure you complete the various fields.
1. Path find your path to uvx, run which uvx in your terminal.
2. Replace <your_api_key_here> with your actual Massive.com API key.
3. Replace <your_home_directory> with your home directory path, e.g., /home/username (Mac/Linux) or C:\Users\username (Windows).

{ "mcpServers": { "massive": { "command": "<path_to_your_uvx_install>/uvx", "args": [ "--from", "git+https://github.com/massive-com/mcp_massive@v0.6.0", "mcp_massive" ], "env": { "MASSIVE_API_KEY": "<your_api_key_here>", "HOME": "<your_home_directory>" } } } }

Transport Configuration

By default, STDIO transport is used.

To configure SSE or Streamable HTTP, set the MCP_TRANSPORT environment variable.

Example:

MCP_TRANSPORT=streamable-http \ MASSIVE_API_KEY=<your_api_key_here> \ uv run entrypoint.py

Usage Examples

Once integrated, you can prompt Claude to access Massive.com data:

Get the latest price for AAPL stock Show me yesterday's trading volume for MSFT What were the biggest stock market gainers today? Get me the latest crypto market data for BTC-USD

Available Tools

This MCP server implements all Massive.com API endpoints as tools, including:

get_aggs - Stock aggregates (OHLC) data for a specific ticker
list_trades - Historical trade data
get_last_trade - Latest trade for a symbol
list_ticker_news - Recent news articles for tickers
get_snapshot_ticker - Current market snapshot for a ticker
get_market_status - Current market status and trading hours
list_stock_financials - Fundamental financial data
And many more...

Each tool follows the Massive.com SDK parameter structure while converting responses to standard JSON that LLMs can easily process.

Development

Running Locally

Check to ensure you have the Prerequisites installed.

# Sync dependencies uv sync # Run the server MASSIVE_API_KEY=your_api_key_here uv run mcp_massive

"mcpServers": { "massive": { "command": "/your/path/.cargo/bin/uv", "args": [ "run", "--with", "/your/path/mcp_massive", "mcp_massive" ], "env": { "MASSIVE_API_KEY": "your_api_key_here", "HOME": "/Users/danny" } } }

Debugging

For debugging and testing, we recommend using the MCP Inspector:

npx @modelcontextprotocol/inspector uv --directory /path/to/mcp_massive run mcp_massive

This will launch a browser interface where you can interact with your MCP server directly and see input/output for each tool.

Code Linting

This project uses just for common development tasks. To lint your code before submitting a PR:

just lint

This will run ruff format and ruff check --fix to automatically format your code and fix linting issues.

Links

Privacy Policy

This MCP server interacts with Massive.com's API to fetch market data. All data requests are subject to Massive.com's privacy policy and terms of service.

Massive.com Privacy Policy: https://massive.com/legal/privacy
Data Handling: This server does not store or cache any user data. All requests are proxied directly to Massive.com's API.
API Key: Your Massive.com API key is used only for authenticating requests to their API.

Contributing

If you found a bug or have an idea for a new feature, please first discuss it with us by submitting a new issue. We will respond to issues within at most 3 weeks. We're also open to volunteers if you want to submit a PR for any open issues but please discuss it with us beforehand. PRs that aren't linked to an existing issue or discussed with us ahead of time will generally be declined.

One-click Deploy

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

How are these scores calculated?

Polygon-io MCP Server

Massive.com MCP Server

Overview

Installation

Prerequisites

Claude Code

Claude Desktop

Transport Configuration

Usage Examples

Available Tools

Development

Running Locally

Debugging

Code Linting

Links

Privacy Policy

Contributing

Resources

Tools

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