Schema | mnelo

mnelo

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LANG`	No	System locale variable used as fallback for language detection.
`LC_ALL`	No	System locale variable used as fallback for language detection.
`HF_HOME`	No	Hugging Face cache home directory. Used to relocate model cache.
`MNELO_MEMORY_LANG`	No	Locale for user-facing messages. Auto-detected from MNELO_MEMORY_LANG, LC_ALL, LANG, then defaults to en.	en
`HUGGINGFACE_HUB_CACHE`	No	Specific cache directory for Hugging Face Hub models.
`MNELO_MEMORY_SERVER_PORT`	No	TCP port for the MCP SSE server.	8086
`MNELO_MEMORY_EMBEDDER_DIM`	No	Dimension of the embedding model. Must match the model's expected dimension.	512
`MNELO_MEMORY_EMBEDDER_MODEL`	No	Embedding model name (Hugging Face ID) used for vector search.	BAAI/bge-small-zh-v1.5
`MNELO_MEMORY_SEARCH_BACKEND`	No	Vector search backend, either 'sqlite-vec' (default) or 'zvec'.	sqlite-vec

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/chinesewebman/mnelo'

If you have feedback or need assistance with the MCP directory API, please join our Discord server