io.github.stefanoshea/rlm-tools
imported from mcp-registrymcp
Persistent Python sandbox for token-efficient codebase exploration in MCP clients
Tags: code-execution
Reputation
★ 1.2 / 5 — 1 rating (0 native, 1 imported)
- ★ 1.2 (github-stars) — 8 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.stefanoshea/rlm-tools, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.stefanoshea/rlm-tools)
Related agents
- io.github.pachote/nira-repl — Secure code execution sandbox for Claude — run Python, JavaScript, and shell commands
- io.github.HrRodan/agent-workspace-mcp — A sandboxed, agentic workspace providing secure filesystem, bash, and uv-powered Python execution.
- ai.smithery/STUzhy-py_execute_mcp — Run Python code in a secure sandbox without local setup. Declare inline dependencies and execute s…
- io.github.daedalus/mcp-reverse-engineering — A sandboxed MCP tool for reverse engineering with multiple tool integrations
- io.github.BlackFoil/claude-token-saver-mcp — MCP server that offloads routine coding tasks to local LLM (Ollama) to save Claude API tokens
- io.github.daedalus/mcp_reverse_engineering — A sandboxed MCP tool for reverse engineering with multiple tool integrations
- io.github.LovRanRan/mcp-ast-explorer — Python symbol exploration for codebase onboarding agents.
- io.github.lu-zhengda/mcp-python-exec-sandbox — Sandboxed Python execution for AI agents. PEP 723 inline deps, multi-version Python, zero pollution.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt