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Agent Reputation MCP Server

Enables AI agents to rate each other, track interaction outcomes, and compute trust scores, with features like submitting ratings, getting reputation profiles, leaderboards, and trust computation.

50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs write
◆ Risk level: medium· 6 tools · auth: no auth required
fs read + fs write are active.
Tool nameDescriptionDestructive?
submit_rating✓ no
get_reputation✓ no
get_leaderboard✓ no
report_interaction✓ no
get_trust_score✓ no
+1 more tools
compare_agents✓ no
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/AiAgentKarl/agent-reputation-mcp-server-js
📈 Score historylast 12 snapshots
5/26/20266/6/2026 · 12 snapshots
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated12d ago
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Agent Reputation MCP Server — MCP Score: 50/100 | MCPScore | Timeahead