Model Context Protocol (MCP) server for Solargis documentation
Project description
Solargis Documentation MCP Server
Model Context Protocol (MCP) server for Solargis Documentation
This MCP server provides tools to access Solargis documentation and search for content.
Features
- Read Documentation: Fetch and convert Solargis documentation pages to markdown format
- Search Documentation: Search Solargis documentation using search API
Prerequisites
Installation Requirements
- Install
uvfrom Astral or the GitHub README - Install Python 3.11 or newer using
uv python install 3.11(or a more recent version)
Installation
Configure the MCP server in your MCP client configuration:
{
"mcpServers": {
"solargis.documentation-mcp-server": {
"command": "uvx",
"args": ["solargis.documentation-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"disabled": false,
"autoApprove": []
}
}
}
For Amazon Q Developer CLI, add the MCP client configuration and tool command to the agent file in ~/.aws/amazonq/cli-agents.
Example, ~/.aws/amazonq/cli-agents/default.json
{
"mcpServers": {
"solargis.documentation-mcp-server": {
"command": "uvx",
"args": ["solargis.documentation-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"disabled": false,
"autoApprove": []
}
},
"tools": [
// .. other existing tools
"@solargis.documentation-mcp-server"
],
}
or docker after a successful docker build -t mcp/solargis-documentation .:
{
"mcpServers": {
"solargis.documentation-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"mcp/solargis-documentation:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
Basic Usage
Example:
- "What resolution does Solargis provide for their Typical Meteorological Year (TMY) and time-series datasets?"
- "What parameters does Solargis Evaluate include in its CSV data exports?"
Tools
read_documentation
Fetches an Solargis documentation page and converts it to markdown format.
read_documentation(url: str) -> str
search_documentation
Searches Solargis documentation using Solargis documentation search API.
search_documentation(search_phrase: str, limit: int) -> list[dict]
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