Schema | MCP RAG

MCP RAG

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LOG_LEVEL`	No	Logging level	info
`CHUNK_SIZE`	No	Text chunk size for processing	1000
`CHUNK_OVERLAP`	No	Text chunk overlap size	200
`MCP_SERVER_NAME`	No	MCP server name	mcp-rag
`MAX_FILE_SIZE_MB`	No	Maximum file size in MB	50
`HUGGINGFACE_MODEL`	No	Hugging Face model for embeddings	sentence-transformers/all-MiniLM-L6-v2
`MCP_SERVER_VERSION`	No	MCP server version	1.0.0
`EMBEDDING_DIMENSION`	No	Embedding vector dimension	384
`HUGGINGFACE_API_KEY`	Yes	Your Hugging Face API key
`SUPPORTED_EXTENSIONS`	No	Supported file extensions	.pdf,.docx,.txt,.md,.csv,.json
`CHROMA_COLLECTION_FILES`	No	ChromaDB collection name for files	rag_files
`CHROMA_COLLECTION_MEMORY`	No	ChromaDB collection name for agent memory	agent_memory
`CHROMA_PERSIST_DIRECTORY`	No	ChromaDB persistence directory	./data/chroma

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.

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
add_fileC	Add a file to the RAG system for document retrieval
search_filesC	Search for relevant documents in the RAG system
remove_fileC	Remove a file from the RAG system
list_filesB	List all files in the RAG system
add_memoryC	Add information to the agent memory system
search_memoryC	Search for relevant information in agent memory
remove_memoryC	Remove a memory entry from the agent memory system
get_memory_by_agentC	Get all memory entries for a specific agent
get_statsC	Get statistics about the RAG system
clear_dataC	Clear data from the RAG system
test_connectionB	Test the connection to the embedding service

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`RAG Statistics`	Current statistics of the RAG system

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/santis84/mcp-rag'

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