Quaestio MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| QUAESTIO_LLM_MODEL | No | Model name for the primary LLM backend. | |
| QUAESTIO_DOCKER_PATH | No | Path to the Docker executable. | |
| QUAESTIO_LLM_API_KEY | No | API key for the primary LLM backend. | |
| QUAESTIO_LLM_BASE_URL | No | Base URL of the primary LLM API endpoint. | https://integrate.api.nvidia.com/v1 |
| QUAESTIO_TESSERACT_PATH | No | Path to the Tesseract OCR executable. | |
| QUAESTIO_EMBEDDING_MODEL | No | Model name for embeddings. | |
| QUAESTIO_TRANSLATION_OCR | No | Whether to use OCR for translation. Options: auto, never, required. | auto |
| QUAESTIO_TRANSLATION_MODE | No | Translation mode. Options: never, auto, required. | auto |
| QUAESTIO_TRANSLATOR_MODEL | No | Model name for the translation backend. | |
| QUAESTIO_EMBEDDING_API_KEY | No | API key for the embedding backend. | |
| QUAESTIO_EMBEDDING_BASE_URL | No | Base URL of the embedding API endpoint. | |
| QUAESTIO_TRANSLATOR_API_KEY | No | API key for the translation backend. | |
| QUAESTIO_VERIFIER_LLM_MODEL | No | Model name for the semantic verifier backend. | |
| QUAESTIO_KNOWLEDGE_BASE_PATH | No | Path to the local knowledge base JSON file. | ./data/knowledge.json |
| QUAESTIO_LLM_TIMEOUT_SECONDS | No | Timeout in seconds for primary LLM requests. | 45 |
| QUAESTIO_SECONDARY_LLM_MODEL | No | Model name for the secondary LLM backend. | |
| QUAESTIO_TRANSLATOR_BASE_URL | No | Base URL of the translation LLM API endpoint. | |
| QUAESTIO_SANDBOX_PYTHON_IMAGE | No | Docker image used for running Python code in the sandbox. | python:3.12-slim |
| QUAESTIO_VERIFIER_LLM_API_KEY | No | API key for the semantic verifier backend. | |
| QUAESTIO_SECONDARY_LLM_API_KEY | No | API key for the secondary LLM backend. | |
| QUAESTIO_VERIFIER_LLM_BASE_URL | No | Base URL of the independent semantic verifier LLM API endpoint. | |
| QUAESTIO_SECONDARY_LLM_BASE_URL | No | Base URL of the secondary LLM API endpoint used for consensus. | |
| QUAESTIO_TRANSLATION_OCR_LANGUAGE | No | OCR language codes, e.g. por+eng. | por+eng |
| QUAESTIO_EMBEDDING_TIMEOUT_SECONDS | No | Timeout in seconds for embedding requests. | 30 |
| QUAESTIO_TRANSLATOR_TIMEOUT_SECONDS | No | Timeout in seconds for translation requests. | 30 |
| QUAESTIO_TRANSLATION_TARGET_LANGUAGE | No | Target language code for translation. | en |
| QUAESTIO_VERIFIER_LLM_TIMEOUT_SECONDS | No | Timeout in seconds for semantic verifier requests. | 45 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues