Code2Flow MCP Server is a project that wraps the code2flow command-line tool into an MCP (Model Context Protocol) server, allowing AI applications to generate and access code call graphs through a standardized MCP protocol.
Code2Flow MCP Server is a project that wraps the code2flow command-line tool into an MCP (Model Context Protocol) server, allowing AI applications to generate and access code call graphs through a standardized MCP protocol.
Clone the repository, set up a virtual environment, install dependencies, and run the server using Python.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"code2flow-mcp": {
"command": "npx",
"args": [
"-y",
"Clone the repository, set up a virtual environment, install dependencies, and run the server using Python."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Code2Flow MCP 服务器?"
No configuration required. This server works out of the box.
"What resources are available in Code2Flow MCP 服务器?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Code2Flow MCP 服务器"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Code2Flow MCP 服务器 with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.