Gives your agent direct access to up-to date Fantasy Premier League (FPL) data.
## Description
## Server Details
- Server: `fantasy-pl-mcp-server`
- Provides tools to analyze Fantasy PL players and fixtures
- Provides customized advice to FPL managers based on latest API information
## Motivation and Context
I wanted to be able to ask Claude for advice on my Fantasy Premier League team, analyze players, fixtures and get transfer suggestions but it never had the upto date data and specific Fantasy relevant data (like points scored, price, etc) so I created an MCP server to give Claude direct access via the FPL API.
This MCP server lets Claude users:
- Give Claude direct access to live Fantasy Premier League data
- Use Claude as an FPL AI Assistant
- Ask for personalized advice on their FPL teams
- Get recommendations on players
- Get recommendations on fixtures and teams
## How Has This Been Tested?
Tested with Claude Desktop after doing an installation via pip. I was able to run tools and conduct analysis. I verified that the analysis makes sense. I also have some basic testing in my project code.
I also tested it out on common questions from the Fantasy PL community and it seems to be well received (see screenshots for reference)
## Breaking Changes
No
## Types of changes
<!-- What types of changes does your code introduce? Put an `x` in all the boxes that apply: -->
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to change)
- [x] Documentation update
## Checklist
<!-- Go over all the following points, and put an `x` in all the boxes that apply. -->
- [x] I have read the [MCP Protocol Documentation](https://modelcontextprotocol.io)
- [x] My changes follows MCP security best practices
- [x] I have updated the server's README accordingly
- [x] I have tested this with an LLM client
- [x] My code follows the repository's style guidelines
- [x] New and existing tests pass locally
- [x] I have added appropriate error handling
- [x] I have documented all environment variables and configuration options
## Additional context
Fantasy Premier League (FPL) is a massively popular game with over 9 million players worldwide, making it the largest fantasy sports platform in the world. The passionate community includes dedicated followers who analyze every match, player statistic, and team selection, creating a thriving ecosystem of blogs, podcasts, and tools to gain a competitive edge in their mini-leagues and overall rankings.
QGIS MCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS. This integration enables prompt assisted project creation, layer loading, code execution and more.
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
# investor-agent: A Financial Analysis MCP Server
## Overview
The **investor-agent** is a Model Context Protocol (MCP) server that provides comprehensive financial insights and analysis to Large Language Models. It leverages real-time market data, news, and advanced analytics to help users obtain:
- Detailed ticker reports including company overview, news, key metrics, performance, dates, analyst recommendations, and upgrades/downgrades.
- Options data highlighting high open interest.
- Historical price trends for stocks.
- Essential financial statements (income, balance sheet, cash flow) formatted in millions USD.
- Up-to-date institutional ownership and mutual fund holdings.
- Earnings history and insider trading activity.
The server integrates with [yfinance](https://pypi.org/project/yfinance/) for market data retrieval and [BraveSearch](https://pypi.org/project/brave-search-python-client/) for search capabilities.
## Prerequisites
- **Python:** 3.12 or higher
- **Package Manager:** [uv](https://docs.astral.sh/uv/)
## Installation
First, install **uv** if you haven't already:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
Then, you can run the **investor-agent** MCP server using `uvx`:
```bash
uvx investor-agent
```
## Tools
The **investor-agent** server comes with several tools to support financial analysis:
### Ticker Information
1. **`get_ticker_data`**
- **Description:** Retrieves a comprehensive report for a given ticker symbol, including company overview, news, key metrics, performance, dates, analyst recommendations, and upgrades/downgrades.
- **Input:**
- `ticker` (string): Stock ticker symbol (e.g., `"AAPL"`).
- **Return:** A formatted multi-section report.
2. **`get_available_options`**
- **Description:** Provides a list of stock options with the highest open interest.
- **Inputs:**
- `ticker_symbol` (string): Stock ticker symbol.
- `num_options` (int, optional): Number of options to return (default: 10).
- `start_date` & `end_date` (string, optional): Date range in `YYYY-MM-DD` format.
- `strike_lower` & `strike_upper` (float, optional): Desired strike price range.
- `option_type` (string, optional): Option type (`"C"` for calls, `"P"` for puts).
- **Return:** A formatted table of options data.
3. **`get_price_history`**
- **Description:** Retrieves historical price data for a specific ticker.
- **Inputs:**
- `ticker` (string): Stock ticker symbol.
- `period` (string): Time period (choose from `"1d"`, `"5d"`, `"1mo"`, `"3mo"`, `"6mo"`, `"1y"`, `"2y"`, `"5y"`, `"10y"`, `"ytd"`, `"max"`).
- **Return:** A table showing price history.
### Financial Data Tools
1. **`get_financial_statements`**
- **Description:** Fetches financial statements (income, balance, or cash flow) formatted in millions USD.
- **Inputs:**
- `ticker` (string): Stock ticker symbol.
- `statement_type` (string): `"income"`, `"balance"`, or `"cash"`.
- `frequency` (string): `"quarterly"` or `"annual"`.
- **Return:** A formatted financial statement.
2. **`get_institutional_holders`**
- **Description:** Retrieves details about major institutional and mutual fund holders.
- **Input:**
- `ticker` (string): Stock ticker symbol.
- **Return:** Two formatted tables listing institutional and mutual fund holders.
3. **`get_earnings_history`**
- **Description:** Retrieves a formatted table of earnings history.
- **Input:**
- `ticker` (string): Stock ticker symbol.
- **Return:** A table displaying historical earnings data.
4. **`get_insider_trades`**
- **Description:** Fetches the recent insider trading activity for a given ticker.
- **Input:**
- `ticker` (string): Stock ticker symbol.
- **Return:** A formatted table showing insider trades.
## Usage with MCP Clients
To integrate **investor-agent** with an MCP client (for example, Claude Desktop), add the following configuration to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"investor": {
"command": "path/to/uvx/command/uvx",
"args": ["investor-agent"],
"env": {
"BRAVE_SEARCH_API_KEY": "your_brave_search_api_key_here"
}
}
}
}
```
## Debugging
You can leverage the MCP inspector to debug the server:
```bash
npx @modelcontextprotocol/inspector uvx investor-agent
```
For log monitoring, check the following directories:
- macOS: `~/Library/Logs/Claude/mcp*.log`
- Windows: `%APPDATA%\Claude\logs\mcp*.log`
## Development
For local development and testing:
1. Use the MCP inspector as described in the [Debugging](#debugging) section.
2. Test using Claude Desktop with this configuration:
```json
{
"mcpServers": {
"investor": {
"command": "path/to/uv/command/uv",
"args": ["--directory", "path/to/investor-agent", "run", "investor-agent"],
}
}
}
```
## License
This MCP server is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
Removed incorrect additional line break, fixed identation on burningion/video-editing-mcp and added our own new MCP server for Netskope Security Service Edge Cloud Platform Service that can manage all components related to it's Zero Trust Network Access framework through 23 tools available to users of this MCP based on the latest swagger documentation dated 25/01/2025
Added brand new MCP for using Netskope SSE Zero Trust Network Access components through MCP, all available features to date are also available in the MCP as it's build from the swagger documentations dated 25/01/2025.
Add r-huijts/xcode-mcp-server with TypeScript, local service, and macOS support indicators.
The server provides Xcode IDE integration for project management, file operations, and build automation.
