godmod3-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GODMOD3_API_KEY | No | Bearer token if API requires auth (optional) | |
| GODMOD3_BASE_URL | No | G0DM0D3 API endpoint | http://localhost:7860 |
| GODMOD3_MCP_HTTP_PORT | No | HTTP/SSE listen port | 3001 |
| GODMOD3_MCP_TRANSPORT | No | Transport type: stdio, http, or sse | stdio |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| health_checkA | Check connectivity to the G0DM0D3 API. |
| server_infoA | Return G0DM0D3 API info, endpoints, and tier defaults. |
| list_modelsA | List available models including virtual ULTRAPLINIAN/CONSORTIUM models. |
| get_tierA | Show your current G0DM0D3 API tier, limits, and features. |
| single_chatC | Single-model chat with the full G0DM0D3 pipeline (GODMODE, AutoTune, Parseltongue, STM). |
| ultraplinian_chatC | Race many models in parallel and return the best response (ULTRAPLINIAN). |
| consortium_chatC | Collect responses from all tier models and synthesize ground truth (CONSORTIUM). |
| autotune_analyzeC | Analyze a message and get optimal LLM sampling parameters from AutoTune. |
| parseltongue_encodeC | Obfuscate trigger words in text. |
| parseltongue_detectC | Detect trigger words without transforming them. |
| transform_textC | Apply semantic transformation modules (STM) to text. |
| submit_feedbackC | Submit quality feedback for the AutoTune EMA learning loop. |
| dataset_statsB | Show in-memory dataset statistics. |
| export_datasetA | Export the dataset as JSON or JSONL. |
| research_infoB | Return research dataset schema and repository info. |
| research_statsB | Return aggregate stats across published HuggingFace batches. |
| research_queryC | Query the published research corpus with filters. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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