godmod3-mcp
This server is an MCP bridge to the G0DM0D3 API, exposing advanced AI capabilities including multi-model racing, hive-mind synthesis, and text transformations. Key features:
Health & Status:
health_checkverifies connectivity,server_inforeturns API details,list_modelsshows available models (including virtual ULTRAPLINIAN and CONSORTIUM),get_tierdisplays current tier limits.Chat & Inference:
single_chatprovides configurable single-model chat with GODMODE, AutoTune, Parseltongue, and STM; supports custom sampling, local models (Ollama, LM Studio, vLLM).ultraplinian_chatraces multiple models in parallel to return the best result.consortium_chataggregates responses from all tier models to synthesize a ground truth.AutoTune:
autotune_analyzesuggests optimal LLM sampling parameters;submit_feedbacksends ratings to fuel its EMA learning loop.Parseltongue:
parseltongue_encodeobfuscates trigger words (e.g., leetspeak);parseltongue_detectfinds them without transformation.STM:
transform_textapplies semantic transformation modules.Dataset Management:
dataset_statsshows in-memory statistics;export_datasetexports in JSON/JSONL.Research:
research_infodescribes the schema,research_statsprovides aggregate statistics,research_queryfilters and queries the published corpus.Local Model Integration: Include local OpenAI-compatible models (Ollama, LM Studio, vLLM) in chat tools.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@godmod3-mcprun a consortium chat on renewable energy"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
godmod3-mcp
MCP bridge for G0DM0D3 with dedicated skills for Odysseus and Hermes Agent.
This package delegates 100% to a self-hosted G0DM0D3 API and exposes every flagship feature as an MCP tool:
ULTRAPLINIAN multi-model racing
CONSORTIUM hive-mind synthesis
Single-chat with GODMODE / AutoTune / Parseltongue / STM
AutoTune analysis, Parseltongue obfuscation, STM transforms
Dataset + research endpoints
Local OpenAI-compatible model support (Ollama, LM Studio, vLLM)
Quick start
Recommended deployment
Run the upstream G0DM0D3 API as a container, run a local stdio bridge for Hermes, and run a separate HTTP bridge container for Odysseus.
1. Start the G0DM0D3 API container
cp .env.example .env
# edit .env with optional keys
docker compose -f docker-compose.api.yml up -d --buildThe API is available at http://localhost:7860 from the host and at http://godmod3-api:7860 from containers on the shared godmod3 network.
Note: The upstream G0DM0D3 API currently has a
path-to-regexpcompatibility issue (/batch/*route pattern). The localDockerfile.apiclones upstream and applies a small patch before building so the container starts correctly.
Avoid upstream rate limits
By default the API runs in Free tier mode: 5 total requests, 10/min, 50/day. To get unlimited local use, set a tier key in .env:
GODMODE_API_KEY=my-local-key-123
GODMODE_TIER_KEYS=enterprise:my-local-key-123Then pass the same key to the bridge via GODMOD3_API_KEY. Restart the API container to apply.
2. Install the bridge locally for Hermes (stdio)
pip install -e .This installs the bridge and the console script godmod3-mcp.
3. Start the HTTP bridge container for Odysseus
docker compose -f docker-compose.bridge-http.yml up -d --buildOdysseus connects to http://localhost:3001/sse.
4. Verify
python -m godmod3_mcp.server --testAlternative: run the API directly
If you prefer not to containerize the API:
git clone https://github.com/elder-plinius/G0DM0D3.git
cd G0DM0D3
npm install
npm run apiAlternative: full stack at once
docker compose up -d --buildThis is equivalent to starting both docker-compose.api.yml and docker-compose.bridge-http.yml together.
Related MCP server: Multi-CLI MCP
Configuration
Variable | Default | Description |
|
| G0DM0D3 API endpoint |
| (none) | Bearer token if API requires auth |
|
|
|
|
| HTTP/SSE listen port |
| (none) | Comma-separated allowed HTTP |
|
| Set to |
MCP Tools
health_checkserver_infolist_modelsget_tiersingle_chatultraplinian_chatconsortium_chatautotune_analyzeparseltongue_encodeparseltongue_detecttransform_textsubmit_feedbackdataset_statsexport_datasetresearch_inforesearch_statsresearch_query
Connect to Odysseus
Via the MCP admin UI or API:
{
"name": "godmod3",
"transport": "stdio",
"command": "python",
"args": ["-m", "godmod3_mcp.server"],
"env": {
"GODMOD3_BASE_URL": "http://localhost:7860",
"GODMOD3_API_KEY": "optional-key"
}
}Or via the HTTP bridge container:
{
"name": "godmod3",
"transport": "http",
"url": "http://localhost:3001/sse"
}Install the skill:
cp -r skills/odysseus/godmod3 /path/to/odysseus/data/skills/Connect to Hermes Agent
Hermes launches the bridge as a local stdio subprocess. Make sure you installed the bridge with pip install -e . and that the API container is exposing port 7860.
Add to your Hermes MCP config (file path depends on install; often ~/.hermes/mcp_servers.json or via hermes config):
{
"godmod3": {
"command": "godmod3-mcp",
"env": {
"GODMOD3_BASE_URL": "http://localhost:7860",
"GODMOD3_API_KEY": "optional-key"
}
}
}Install the skill:
cp -r skills/hermes/godmod3 ~/.hermes/skills/Then invoke with /godmod3.
Connect other MCP clients (Claude Code, Codex, Cursor, Kimi Code)
The bridge is a standard MCP server. Any MCP-compatible client can connect via stdio or HTTP/SSE.
HTTP/SSE (recommended for shared access)
{
"mcpServers": {
"godmod3": {
"url": "http://localhost:3001/sse"
}
}
}stdio
{
"mcpServers": {
"godmod3": {
"command": "/home/vudu/.venv/godmod3-mcp/bin/godmod3-mcp",
"env": {
"GODMOD3_BASE_URL": "http://localhost:7860",
"GODMOD3_API_KEY": "optional-key"
}
}
}
}Client-specific skill files
Copy the appropriate skill file into your client config:
Client | File | Typical location |
Claude Code |
| Project root or |
Cursor |
| Project root |
Codex |
| Project root or Codex config |
Generic / Kimi Code |
| Use as system prompt or skill |
These files explain when and how to use the G0DM0D3 tools in each client.
Local model support
Pass local_model_url and local_models to any chat tool:
{
"messages": [{"role": "user", "content": "Hello"}],
"local_model_url": "http://localhost:11434/v1",
"local_models": ["qwen3:8b"],
"provider_preference": "all"
}Tests
pytest tests/test_tools.pyLicense
AGPL-3.0-or-later — same as G0DM0D3.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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