MCP server by cyberchitta · ★ 307 · updated 1 month ago
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude.
{
"mcpServers": {
"llm-context-py": {
"command": "uvx",
"args": [
"--from",
"llm-context",
"lc-mcp"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
{
"mcpServers": {
"llm-context-py": {
"command": "uvx",
"args": [
"--from",
"llm-context",
"lc-mcp"
]
}
}
}Or add to .vscode/mcp.json in your workspace.
{
"servers": {
"llm-context-py": {
"type": "stdio",
"command": "uvx",
"args": [
"--from",
"llm-context",
"lc-mcp"
]
}
}
}Run in your terminal:
claude mcp add llm-context-py -- uvx --from llm-context lc-mcpRun the server directly:
uvx --from llm-context lc-mcpTest/reference server that exercises every MCP feature (prompts, tools, resources, sampling). Built for MCP client developers, not for everyday use.
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Up-to-date, version-specific library documentation and code examples pulled straight into your prompt, so coding assistants stop hallucinating outdated APIs.
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