Graph Coloring Scheduler

Graph Coloring Scheduler MCP Connector for Claude

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Deterministic agent scheduling using graph coloring to prevent resource conflicts.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides mathematical tools to organize agent execution schedules. By representing agents as nodes and resource conflicts as edges in a conflict graph, it uses a greedy coloring algorithm to assign time slots. Use get_schedule_plan to generate a full execution plan with metrics like makespan and utilization, validate_schedule to ensure no two conflicting agents run in the same slot, and get_graph_statistics to analyze the structural properties of your conflict graph.

graph-theoryschedulingresource-allocationoptimizationalgorithms

3 tools expose this connector's capabilities to your AI agent.

get_schedule_plan

get_graph_statistics

validate_schedule

See how to talk to your AI agent using Graph Coloring Scheduler.

Generate a schedule for agents A, B, and C where A conflicts with B and B conflicts with C, given 2 available time slots of 10 minutes each.

Slot 1: Agents A and C. Slot 2: Agent B. Total makespan is 20 minutes.

What are the graph statistics for a set of agents with these conflicts: {agentA: '1', agentB: '2'}, {agentA: '1', agentB: '3'}?

Agent 1 has a degree of 2, while agents 2 and 3 have a degree of 1. The total number of edges is 2.

Check if this schedule is valid: Slot 1 contains agents X and Y, and there is a conflict between X and Y.

The schedule is invalid because agents X and Y have a conflict and are assigned to the same slot.

The server uses a greedy coloring algorithm. It orders agents by their degree in the conflict graph and assigns the lowest available time slot that does not conflict with already scheduled neighbors.

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