jacobsd32-cpu/djd-agent-score-mcp

Overview

An MCP server that exposes reputation scoring tools for AI assistants using DJD Agent Score. Built in TypeScript, it provides a standard interface for querying or updating agent reputation metrics via the Model Context Protocol.

Best for

Best for
Developers experimenting with agent reputation systems in MCP-based architectures

Use cases

• Integrating reputation scoring into MCP-enabled AI assistants
• Building trust metrics for multi-agent systems
• Tracking and evaluating AI assistant behavior over time

Notes

An MCP server that exposes reputation scoring tools for AI assistants using DJD Agent Score. Built in TypeScript, it provides a standard interface for querying or updating agent reputation metrics via the Model Context Protocol.

0 stars on GitHub. Last updated 2026-03-06. Licensed MIT.

Use cases

• Integrating reputation scoring into MCP-enabled AI assistants
• Building trust metrics for multi-agent systems
• Tracking and evaluating AI assistant behavior over time

Pros

• Open-source TypeScript implementation with a standard MCP interface
• Lightweight and focused on reputation scoring for agents
• No external dependencies beyond the MCP protocol

Cons

• Zero stars on GitHub indicates minimal adoption or community validation
• No documentation beyond the one-line description
• Scoring logic is opaque and may lack robustness for production use

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