jacobsd32-cpu/djd-agent-score-mcp
by Various
MCP server for DJD Agent Score — reputation scoring tools for AI assistants
MCP
jacobsd32-cpu/djd-agent-score-mcp
Added 1 June 2026
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.
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
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