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Raccoon AI
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python
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7 months ago
First Indexed
3 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"raccoonaihq-raccoonai-mcp-server": {
"command": "mcp",
"args": [
"install",
"src/raccoonai_mcp_server/server.py",
"-v",
"RACCOON_SECRET_KEY=<RACCOON_SECRET_KEY>",
"-v",
"RACCOON_PASSCODE=<RACCOON_PASSCODE>"
],
"env": {
"RACCOON_PASSCODE": "<RACCOON_PASSCODE>",
"RACCOON_SECRET_KEY": "<RACCOON_SECRET_KEY>"
}
}
}
}Raccoon AI's MCP server lets you leverage the LAM API for web browsing, data extraction, and multi-step web automation from your client of choice. It enables you to search and browse sites, interact with forms and UI elements, and extract structured data according to defined schemas, all while coordinating complex tasks across multiple web pages.
How to use
Use an MCP-compatible client to connect to this server and perform web tasks. You can search and browse websites, fill out forms, navigate UI elements, extract data with defined schemas, and manage multi-step processes across sites. Plan prompts that describe the sequence you want to run: open a page, locate fields, submit forms, extract items, and assemble results into a structured answer.
How to install
Prerequisites you need before starting:
- Python 3.8 or higher
- Claude Desktop or another MCP-compatible client
- Raccoon AI Secret Key and your Raccoon Passcode.
Install options you can use to set up the MCP server locally.
npx -y @smithery/cli@latest install @raccoonaihq/raccoonai-mcp-server --client claude
Additional setup steps
If you are configuring Claude Desktop to run the MCP server, use the following command to install the server module and pass your credentials.
mcp install src/raccoonai_mcp_server/server.py -v RACCOON_SECRET_KEY=<RACCOON_SECRET_KEY> -v RACCOON_PASSCODE=<RACCOON_PASSCODE>
Available tools
web_search
Search and browse websites, follow links, and retrieve information across pages.
form_interaction
Fill out forms, interact with UI elements, and navigate to target sections.
data_extraction
Extract structured data according to defined schemas from web pages and documents.
workflow_execution
Coordinate multi-step tasks across websites, handling sequences and state.