Assay Protocol Ai Agent Trust

Name: Assay Protocol Ai Agent Trust
Author: Grandionn

@Grandionn

代码仓库主页

关于 Assay Protocol Ai Agent Trust

Trust infrastructure for AI agents on Base. USDC staking, escrow, reputation scoring, 2000+ ERC-8004 agents indexed.

#ai-agents #trust #erc-8004 #base #blockchain #web3

基本信息

分类

AI 与智能体

运行时

node

传输方式

stdio

发布者

Grandionn

提交者

Granth

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "assay": {
      "command": "npx",
      "args": [
        "-y",
        "@assaylabs/mcp-server"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Assay Protocol Ai Agent Trust?

Assay Protocol Ai Agent Trust is an MCP server that exposes the Assay Discovery and trust infrastructure tools. It enables AI agents and tools like Claude Desktop and Cursor to query agent trust assessments, perform semantic search over indexed agents, and retrieve ecosystem statistics via the standard MCP stdio transport.

How to use Assay Protocol Ai Agent Trust?

Install the package globally or run it directly with npx @assaylabs/mcp-server. Set the ASSAY_API_URL environment variable (defaults to https://assay-discovery-api.onrender.com). Add the server configuration to your Claude Desktop or Cursor MCP config file, specifying the command and environment variable.

Key features of Assay Protocol Ai Agent Trust

Agent trust lookup by ERC-8004 address
Semantic search over indexed agents
Optional minimum trust score filtering
Top-5 ranked search results from Assay Discovery
Ecosystem statistics (total agents, average trust, etc.)
Works with Claude Desktop and Cursor MCP clients

Use cases of Assay Protocol Ai Agent Trust

Verify the trust score of a specific agent before integration
Find agents by natural language queries like "smart contract security"
Monitor the health and distribution of trust in the ecosystem
Filter agents by minimum trust threshold for safe selections
Get a quick overview of total indexed agents and top performers

FAQ from Assay Protocol Ai Agent Trust

What transport does the server use?

The server uses standard MCP stdio transport.

What environment variable must be set?

You must set ASSAY_API_URL (or fallback VITE_API_URL). The default is https://assay-discovery-api.onrender.com.

What tools does the server expose?

Three tools: check_agent_trust (by address), search_agents (by query and optional minScore), and get_ecosystem_stats (no input).

How do I configure it for Claude Desktop?

Add a JSON entry to your MCP config with command: "npx", args: ["-y", "@assaylabs/mcp-server"], and the ASSAY_API_URL env var.

What is the package name and license?

The package is @assaylabs/mcp-server and is licensed under MIT.

AI 与智能体分类下的更多 MCP 服务器

欢迎来到智言平台

Shy2593666979

AgentChat 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。

797

Open Multi-Agent Canvas

CopilotKit

The open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research

507

Unreal Engine Generative AI Support Plugin

prajwalshettydev

Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti

622