kiro0x/five-mcp

Overview

A Python-based MCP server that enforces 160,000 deductively-derived JSON constraints to maintain LLM persona consistency across interactions. It intercepts and validates outputs against a predefined constraint set, rejecting or correcting responses that drift from the intended persona.

Best for

Best for
Developers building LLM applications that require strict, long-term persona adherence without manual rule engineering.

Use cases

• Preventing persona drift in long-running chatbot sessions
• Enforcing strict role-playing boundaries in interactive fiction
• Validating LLM outputs against a fixed behavioral schema

Notes

A Python-based MCP server that enforces 160,000 deductively-derived JSON constraints to maintain LLM persona consistency across interactions. It intercepts and validates outputs against a predefined constraint set, rejecting or correcting responses that drift from the intended persona.

0 stars on GitHub. Last updated 2026-05-27. Licensed MIT.

Use cases

• Preventing persona drift in long-running chatbot sessions
• Enforcing strict role-playing boundaries in interactive fiction
• Validating LLM outputs against a fixed behavioral schema

Pros

• Large, pre-built constraint set reduces manual rule writing
• Works as a drop-in MCP server for compatible LLM frameworks
• Explicitly addresses a common failure mode in conversational AI

Cons

• Zero stars and no community adoption suggests limited testing
• Constraint set is opaque and cannot be easily customized
• Python-only dependency may not fit all deployment stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.