1C RAG MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| QDRANT_HOST | No | Qdrant host (default: localhost) | |
| QDRANT_PORT | No | Qdrant port (default: 6333) | |
| SERVER_PORT | No | Port for the MCP server (default: 8001) | |
| ROW_BATCH_SIZE | No | Batch size for row processing (default: 100) | |
| TRANSPORT_TYPE | No | Transport type for MCP (default: streamable-http) | |
| COLLECTION_NAME | No | Name of the Qdrant collection (default: 1c_rag) | |
| EMBEDDING_BATCH_SIZE | No | Batch size for embedding generation (default: 32) | |
| EMBEDDING_SERVICE_URL | No | URL for the embedding service (default: http://localhost:5000) |
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 | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/royfincher25-source/1c-rag-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server