Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
TASK_GRAPH_FILENoWhere the graph is stored./task-graph.json
TASK_GRAPH_PORTNoViewer HTTP/WebSocket port7300

Instructions

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.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
create_nodeA

Create a node in the task graph. Use for every task, subtask, idea, discussion topic, note, finding (something learned), decision (with reasoning) or bug that comes up. If it grew out of another node, pass parent_id so the graph shows where it branched from.

update_nodeA

Update a node's title, description or status, and/or append a timestamped note. Notes are for the node's own status trail (why blocked, what the fix was); standalone information worth keeping should be its own note node via create_node so it is visible in the graph.

link_nodesA

Create a directed edge between two existing nodes to show logical flow.

import_graphA

Bulk-create many nodes and edges in one call. Use when reconstructing a graph from existing project history (e.g. context injected by a memory plugin such as claude-mem). Provide your own temporary ids in nodes[].ref and reference them in edges; real ids are assigned and returned as a ref->id map.

get_graphA

Return the full current graph (all nodes and edges). Use to re-orient yourself at the start of a session.

delete_nodeA

Delete a node and all edges touching it. Only when the user explicitly asks.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/PontusO/iLabs_task_graph'

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