What are 'Tours' in Fasttime MCP?

Tours are Hamiltonian paths through the skill graph that visit necessary skills exactly once while maintaining conservation and maximizing the spectral gap for efficiency.

What is the difference between Fasttime and Slowtime?

Slowtime involves sequential deliberation and runtime verification which adds latency. Fasttime uses pre-computed geodesic paths and parallel execution for near-instant capability injection.

How does the geodesic routing algorithm work?

It hashes your query to a starting skill and uses a pre-computed Ihara zeta matrix to find the shortest non-backtracking path to the target capability.

Is Fasttime MCP safe for complex production tasks?

Yes, it maintains safety through GF(3) conservation and build-time verification of bicomodule naturality, ensuring that speed does not compromise logical integrity.

Fasttime MCP

Name: Fasttime MCP
Author: plurigrid

byplurigrid

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生産性とワークフロー

Accelerates Model Context Protocol execution using geodesic routing and pre-computed capability matrices for zero-deliberation task completion.

Fasttime MCP is a specialized performance layer for the Model Context Protocol (MCP) designed to eliminate execution bottlenecks by transforming sequential deliberation into parallel, pre-verified topological paths. By utilizing geodesic untangling and Ihara zeta non-backtracking walks, it enables Claude to bypass the 'deliberation fog' and execute complex multi-skill tasks with maximum velocity. This skill is particularly effective for high-frequency agentic workflows where traditional O(n) pathing is too slow, replacing it with O(1) geodesic jumps across the skill graph while maintaining mathematical conservation and composition coherence.

主な機能

01Geodesic routing for O(1) skill path discovery

028 GitHub stars

03Pre-computed Cat# composition tables for instant verification

04GF(3) conservation checks to ensure execution integrity

05Ongoing tour discovery via Ihara zeta function analysis

06Parallel capability execution bypassing sequential deliberation

ユースケース

01Reducing computational overhead in repetitive automated tasks

02Optimizing high-latency multi-agent workflows across complex skill graphs

03Discovery of optimal Hamiltonian paths for multi-step capability chains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi fasttime-mcp

For use in Claude.ai and ChatGPT

Download Skill