RAG Chat Assistant MCP Server
by AP46593
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CHUNK_SIZE | No | Characters per chunk (~500 tokens) | 2000 |
| MAX_TOKENS | No | Max tokens for generated responses | 2048 |
| PII_USE_LLM | No | Enable LLM-based PII detection (slower, catches more) | false |
| TEMPERATURE | No | LLM temperature | 0.7 |
| VISION_MODEL | No | Cloud vision model (OCR fallback) | gemma4:31b-cloud |
| CHUNK_OVERLAP | No | Overlap between consecutive chunks | 200 |
| DEFAULT_MODEL | No | Chat model for answer generation | gpt-oss:120b-cloud |
| EMBEDDING_MODEL | No | Embedding model for vector search | nomic-embed-text |
| MCP_SERVER_PORT | No | Server port | 8000 |
| OLLAMA_BASE_URL | No | Ollama API endpoint | http://localhost:11434 |
| RETRIEVAL_TOP_K | No | Number of chunks to retrieve | 5 |
| SEMANTIC_WEIGHT | No | Semantic vs keyword balance (0.7 = 70% semantic) | 0.7 |
| ENABLE_RAGAS_EVAL | No | Auto-evaluate responses with RAGAS | false |
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 | |
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