Schema | memoryhub

memoryhub

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LLM_MODEL`	No	LLM model for extraction
`QDRANT_URL`	No	Qdrant server URL	http://localhost:6333
`EMBED_MODEL`	No	Embedding model (falls back to LLM_MODEL)
`LLM_API_KEY`	No	LLM API key
`LLM_BASE_URL`	No	LLM API base URL
`EMBED_API_KEY`	No	Embedding API key (falls back to LLM_API_KEY)
`MEMORYHUB_DIR`	No	Base directory for config and data files	~/.memoryhub
`EMBED_BASE_URL`	No	Embedding API base URL (falls back to LLM_BASE_URL)
`MEMORYHUB_PORT`	No	Port for HTTP/SSE mode	9876
`MEMORYHUB_COLLECTION`	No	Collection name	memories
`MEMORYHUB_VECTOR_SIZE`	No	Vector dimension	768

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
No tools

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/taraksh01/memoryhub'

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