Schema | offline-mcp

offline-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
check_ollama_statusA	Check if Ollama is running locally and list available models.
run_local_inferenceC	Run a prompt through a local Ollama model.
list_recommended_modelsB	List recommended open-weight models for East Africa AI use cases.
degraded_mode_guideA	Guide for operating AI systems when cloud connectivity fails.
open_weights_directoryC	Directory of open-weight AI models suitable for East Africa civic use cases.
local_deployment_guideC	Guide to deploying local AI inference on modest hardware in Kenya/East Africa.

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/gabrielmahia/offline-mcp'

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