Schema | TutorFlow MCP

TutorFlow MCP

Describes the environment variables required to run the server.

Name	Required	Description
`PORT`	No	Port for the HTTP server. Usually set automatically by the platform (e.g. Render or Railway).
`DB_PATH`	No	Path to the SQLite database file (defaults to a local `tutorflow.db` if not set).
`MCP_AUTH_TOKEN`	No	Bearer token for authenticating `/mcp` requests. Recommended for both local HTTP and deployed servers.
`ANTHROPIC_API_KEY`	No	API key for Anthropic. Used by the `generate_progress_report` tool. Optional for basic read/write tools.

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 }

Functions exposed to the LLM to take actions

Name	Description
list_studentsA	List all students being tutored, with their grade and subject focus. Optionally filter by a search term matched against name or subject.
get_student_progressA	Get a student's recent session notes and open homework by student id. Use list_students first if you don't know the id.
log_session_noteA	Log a note for a tutoring session. By default this only PREVIEWS the note and does not save it — call again with confirm: true to actually write it. Use list_students first if you don't know the student_id.
assign_homeworkA	Assign a homework item to a student. By default this only PREVIEWS the assignment and does not save it — call again with confirm: true to actually create it. Use list_students first if you don't know the student_id.
generate_progress_reportA	Generate a parent-friendly progress summary for a student by having an LLM reason over their recent session notes and homework. Returns a draft by default — call again with save: true to store it in progress_notes. Requires ANTHROPIC_API_KEY.

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/Nishitadoval/tutorflow-mcp'

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