Explore/agent app/Cartograph: Federated Tool Discovery with Operator-Attested Retrieval for AI Agents
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Justice Owusu Agyemang, Michael Agyare, Kwame Opuni-Boachie Obour Agyekum, Kwame Agyeman-Prempeh Agyekum, Francisca Adoma Acheampong, Jerry John Kponyo/Cartograph: Federated Tool Discovery with Operator-Attested Retrieval for AI AgentsUnknown

Cartograph is a research proposal for a federated Model Context Protocol (MCP) proxy that reduces tool discovery cost for AI agents by using operator-attested capability cards, confusable-cluster analysis, and two-stage retrieval, exposing only a few proxy tools instead of all catalog definitions.

agent app
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OverviewActivity52wAlternativesDocs
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Production readinessResearch / EarlyBest for exploration and prototyping.
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AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 0 days observed0 not enough history
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Repository activity · 0 days observednot enough history from pushed_at
inactivepushed
not enough history
not enough history
Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language—
License—
Sourcearxiv
Open source✗ No
Commercial use—
Docs—
Demo—

AgentHub Score

55
Score 55/100
Below average

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