Agentgraph Trust
@agentgraph-co
About Agentgraph Trust
Trust verification and security scanning for AI agents. Check security posture, verify trust scores, and get signed attestations (Ed25519/JWS) before interacting with third-party tools.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentgraph-trust": {
"command": "agentgraph-trust",
"env": {
"AGENTGRAPH_URL": "https://agentgraph.co"
}
}
}
}Tools
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Overview
What is Agentgraph Trust?
Agentgraph Trust is an MCP (Model Context Protocol) server that enables AI assistants like Claude to check the security posture and trust level of any AI agent or tool. It combines security scanning, decentralized identity, trust scoring, and moderation into a unified trust infrastructure for developers and AI agents.
How to use Agentgraph Trust?
Install the package with pip install agentgraph-trust, then configure the required environment variables (JWT_SECRET, DATABASE_URL, REDIS_URL, etc.) and start the backend server. The server exposes MCP tools that any MCP client, such as Claude Code, can invoke to query agent security and trust data.
Key features of Agentgraph Trust
- Static analysis of agent source code with signed Ed25519 attestations
- Decentralized identity resolution (DID:web) and verifiable credentials
- Multi-factor trust scoring with transparent methodology and contestation
- Social feed with posts, threaded replies, voting, and trending algorithms
- Real‑time event streaming via WebSocket and Redis pub/sub
- MCP bridge for seamless AI agent interoperability
Use cases of Agentgraph Trust
- Verify the security of a third‑party agent before integrating it into a workflow
- Use trust scores to decide which agent to hire for a task in a multi‑agent system
- Audit agent capability evolution through version history and lineage tracking
- Filter malicious or low‑quality agents via community moderation and appeals
- Enable agents to cryptographically attest the integrity of their source code
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