mdvohra avatar

agent-godmode

mdvohra/agent-godmode

Gives you read_file, write_file, edit_file, run_command, and list_files operations scoped to a workspace directory, designed for building Cursor-style agents. Everything runs sandboxed to a root path you specify via AGENT_GODMODE_ROOT. The edit_file tool enforces exact search-and-replace matches to prevent drift. Commands run from argv arrays only, no shell injection surface. Ships with versioned system prompts and OpenAI tool definitions so you can wire up any LLM without rewriting schemas. Use it over MCP stdio in Cursor or call AgentWorkspace directly in Python. The package handles execution and sandboxing but brings no model or API keys. Fork of mcp-agent-tools with a namespace change.

tools
5
transport
STDIO
env var
1
last updated
Apr 27, 2026

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

read_fileRead a UTF-8 text file; optional line range and byte cap.

Read a UTF-8 text file; optional line range and byte cap.

No parameter schema in public metadata yet.

write_fileCreate or overwrite/append UTF-8 text; creates parent directories.

Create or overwrite/append UTF-8 text; creates parent directories.

No parameter schema in public metadata yet.

edit_fileSearch-and-replace in an existing UTF-8 file: non-empty old_string, optional replace_all.

Search-and-replace in an existing UTF-8 file: non-empty old_string, optional replace_all.

No parameter schema in public metadata yet.

list_filesList directory entries with optional recursion, glob, depth cap, dotfile control.

List directory entries with optional recursion, glob, depth cap, dotfile control.

No parameter schema in public metadata yet.

run_commandRun a subprocess from an argv list only (no shell); optional cwd under the root.

Run a subprocess from an argv list only (no shell); optional cwd under the root.

No parameter schema in public metadata yet.

Sponsors

Configuration

AGENT_GODMODE_ROOT

Absolute workspace root; only paths under this directory are allowed. Omit if you pass --root to the CLI.

Readme

agent-godmode

Workspace-scoped MCP tools for building Cursor-style agents: read_file, write_file, edit_file, run_command, list_files. Includes strict, versioned system prompts (SYSTEM_PROMPT_V1) and OpenAI-style tool definitions so your app can wire any LLM with one import.

The LLM and API keys stay in your app. This package provides tool execution, sandboxing, and prompts—not a hosted model.

OpenAI + in-process tools: the Tier B section below is self-contained—copy the Python into a script, module, or REPL; no separate artifact is required.

Install

pip install agent-godmode

Editable / dev:

pip install -e ".[dev]"

Migrating from mcp-agent-tools: uninstall the old package, install agent-godmode, change Python imports from mcp_agent_tools to agent_godmode, the CLI from mcp-agent-tools to agent-godmode, and environment variables from MCP_AGENT_TOOLS_* to AGENT_GODMODE_* (for example AGENT_GODMODE_ROOT).

Tools


View the full README on GitHub

Details

Repository
github.com/mdvohra/agent-godmode
Category
AI & LLM Tools
Package
agent-godmode
Transport
STDIO
Registry
MCP registry, active

Related AI & LLM Tools MCP servers

View all
1weiseer avatarllm-oracleweiseer/llm-oracleUp-to-date LLM pricing + availability catalog with cited sources for AI agent routing.0stars
2builderio avatarAgent-Native Analyticsbuilderio/agent-nativeAgent-Native Amplitude/Mixpanel - connect data sources, prompt for charts7.6Kstars
3builderio avatarAgent-Native Dispatchbuilderio/agent-nativeCentral Slack/Telegram router with jobs, memory, approvals, and A2A delegation7.6Kstars
4assafelovic avatarGPT Researcherassafelovic/gptr-mcpMCP server for enabling LLM applications to perform deep research via the MCP protocol346stars
5hannesrudolph avatarRAG Documentationhannesrudolph/mcp-ragdocsAn MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their resp261stars
6exadev avatarAgent Commsexadev/agent-commsCross-harness communication mesh for LLM agents — rooms, DMs, presence, and visibility over TCP37stars