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LLMVCS
MCP algorithm for reducing LLM coding agent token usage via vectorized prompts and interpreted code stack.
1stars
0forks
JavaScript
ai-researchalgorithimgenerative-aijavascriptjavascript-examplellmmcpoptimizerprompt-engineeringprompt-vectorizerpythontoken-reduction
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via npx (Node)
Universal installANY TOOL
$ npx skillcity@latest TolinSimpson/LLMVCSAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
npx -y llmvcs
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"llmvcs": {
"command": "npx",
"args": [
"-y",
"llmvcs"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
llmvcs — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt