Workspace-scoped **MCP tools** for building Cursor-style agents: **read_file**, **write_file**, **edit_file**, **run_command**, **list_files**.
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. Exposed over MCP by the agent godmode mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 3 environment variables: AGENT_GODMODE_ROOT, OPENAI_API_KEY, HAS_OPENAI_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by mdvohra; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"agent-godmode": {
"command": "agent-godmode",
"args": [],
"env": {
"AGENT_GODMODE_ROOT": "D:/your/project"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| AGENT_GODMODE_ROOT | Configuration value read at startup. | Optional |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| HAS_OPENAI_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.