Multi-cloud MCP RAG demo
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_HOST | No | Bind address for python -m mcp_rag. Defaults to 127.0.0.1. | 127.0.0.1 |
| MCP_PORT | No | Bind port for python -m mcp_rag. Defaults to 8000. | 8000 |
| AWS_REGION | No | AWS region. Required for aws provider. | |
| RAG_BUCKET | No | S3 or GCS bucket name. | |
| RAG_OBJECT | No | Object key or blob name for cloud providers. | |
| RAG_PROVIDER | No | Storage provider: local, aws, azure or gcp. Defaults to local. Any other value fails at startup. | local |
| GCP_PROJECT_ID | No | Google Cloud project ID. Required for gcp provider. | |
| RAG_LOCAL_PATH | No | Local corpus file path (local provider). Defaults to data/corpus.json. | data/corpus.json |
| AZURE_STORAGE_CONTAINER | No | Azure Blob Storage container. Required for azure provider. | |
| AZURE_STORAGE_ACCOUNT_URL | No | HTTPS URL with no credentials or query string. Required for azure provider. | |
| OTEL_EXPORTER_OTLP_TRACES_ENDPOINT | No | Approved OTLP/HTTP collector URL. Unset means no export. |
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