Schema | Onboarding MCP Server

Onboarding MCP Server

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": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
set_vault_pathB	Set the active Obsidian vault directory path for the session state.
set_workspace_pathA	Set the active workspace directory path for the session state.
get_codebase_structureA	Recursively scan workspace directory and return file tree and dependencies, respecting .gitignore.
process_videoA	Process onboarding video: extract audio, transcribe with Whisper, extract scene keyframes, and return timestamp-aligned JSON payload.
write_obsidian_noteC	Write a markdown note into the active Obsidian vault directory.

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/fabimelo/onboarding-mcp'

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