ATKN - Agent Trust & Knowledge Network
@jlazoff
ATKN - Agent Trust & Knowledge Network について
Trust-and-knowledge MCP server for agent ecosystems: score trust, verify/certify agents, register identities, and query a Neo4j-backed knowledge graph.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"atkn": {
"url": "https://mcp.kosherninja.com",
"transport": "streamable-http"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is ATKN - Agent Trust & Knowledge Network?
ATKN provides AI agents with a shared trust, identity, and knowledge layer. It offers functions for trust scoring, agent verification, on-chain certification, wallet-linked registration, knowledge graph queries (backed by Neo4j), behavioral scoring, and network statistics.
How to use ATKN - Agent Trust & Knowledge Network?
The server is available at the MCP endpoint https://mcp.kosherninja.com using the streamable-http transport. To get started, run the atkn_network_stats tool, then call atkn_trust_score for your first agent scoring.
Key features of ATKN - Agent Trust & Knowledge Network
- 6-dimension trust scoring with priced calls
- Formal argumentation verification for agent identity
- On-chain trust certification workflow
- Wallet-linked agent registration
- Neo4j-backed knowledge graph query
- Behavioral scoring and free network metrics
Use cases of ATKN - Agent Trust & Knowledge Network
- Verify an agent’s trustworthiness through formal argumentation
- Query a shared knowledge graph for agent-related information
- Register and certify an agent on-chain with a wallet link
- Analyze behavioral patterns of AI agents across a network
- Retrieve free network health and activity statistics
FAQ from ATKN - Agent Trust & Knowledge Network
What does ATKN do for AI agents?
ATKN gives AI agents a shared trust, identity, and knowledge layer, enabling verification, certification, scoring, and knowledge graph queries.
What is the pricing for each tool?
Pricing per call: trust_score ($0.001), verify_agent ($0.01), certify_agent ($1.00), register_agent ($5.00), query_knowledge ($0.001), behavioral_score ($0.01), and network_stats (free).
What transport does the MCP server use?
The server uses streamable-http at the endpoint https://mcp.kosherninja.com.
How do I quickly test the server?
Run atkn_network_stats (free) first, then call atkn_trust_score for your first trust score.
「AI とエージェント」の他のコンテンツ
MCP-LLM Bridge
patruffBridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
meGPT - upload an author's content into an LLM
adriancoCode to process many kinds of content by an author into an MCP server
Hass-MCP
voskaControl and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.
MCP Claude Code
SDGLBLMCP implementation of Claude Code capabilities and more
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
コメント