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mcp-tool-layer
Enhances LLM agents with a Model Context Protocol layer for contextual reasoning and structured task execution. Includes agents that interact with semantic technologies (e.g. RDF, OWL, SPARQL), enabling hybrid symbolic-neural workflows.
6stars
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Python
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest TheWorldAvatar/mcp-tool-layerAuto-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
uvx mcp-tool-layer
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp-tool-layer": {
"command": "uvx",
"args": [
"mcp-tool-layer"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mcp-tool-layer — 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