ATKN - Agent Trust & Knowledge Network
@jlazoff
About ATKN - Agent Trust & Knowledge Network
Trust-and-knowledge MCP server for agent ecosystems: score trust, verify/certify agents, register identities, and query a Neo4j-backed knowledge graph.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"atkn": {
"url": "https://mcp.kosherninja.com",
"transport": "streamable-http"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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.
More AI & Agents MCP servers
Gemini MCP Server
aliargunMCP server implementation for Google's Gemini API
MCP Claude Code
SDGLBLMCP implementation of Claude Code capabilities and more
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
1MCP - One MCP Server for All
1mcp-appA unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
Comments