Is io.github.assister-xyz/agenttrust safe to use?

io.github.assister-xyz/agenttrust has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install io.github.assister-xyz/agenttrust?

io.github.assister-xyz/agenttrust supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.assister-xyz/agenttrust do?

io.github.assister-xyz/agenttrust provides 4 tools: check_quality, check_quality_fast, get_score, verify_attestation. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.assister-xyz/agenttrust?

io.github.assister-xyz/agenttrust is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is io.github.assister-xyz/agenttrust actively maintained?

io.github.assister-xyz/agenttrust is less actively maintained — last commit was 121 days ago.

io.github.assister-xyz/agenttrust

Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.

4 tools GitHub

No known CVEs

MIT license

Maintained

Last commit 121d ago

Works with most clients

Transport: stdio, sse

4 tools · ~274 tok

Grade A · 0.1% of 200K ctx

MCPpedia last refreshed this data 3d ago

Edit this pageView history

io.github.assister-xyz/agenttrust is an MCP server that quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 66/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML Security

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "agenttrust": {
      "env": {
        "GROQ_API_KEY": "your-key"
      },
      "args": [
        "-m",
        "src.standards.mcp_server"
      ],
      "command": "python"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-assister-xyz-agenttrust)](https://mcppedia.org/s/io-github-assister-xyz-agenttrust)

Read me

What io.github.assister-xyz/agenttrust does

Challenge-response quality verification for AI agents and MCP servers.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

66/100across 5 weighted dimensions

How we score →

0255075100

−34

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (4)

Click any tool to inspect its schema.

~274 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.assister-xyz/agenttrust safe to use?: io.github.assister-xyz/agenttrust has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.assister-xyz/agenttrust?: io.github.assister-xyz/agenttrust supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.assister-xyz/agenttrust do?: io.github.assister-xyz/agenttrust provides 4 tools: check_quality, check_quality_fast, get_score, verify_attestation. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.assister-xyz/agenttrust?: io.github.assister-xyz/agenttrust is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is io.github.assister-xyz/agenttrust actively maintained?: io.github.assister-xyz/agenttrust is less actively maintained — last commit was 121 days ago.

Similar servers

Others in ai-ml / security

View all →

Dsh MCP Client97

MCP client bridge: connects to MCP servers and registers their tools on ctx.tools

196.7k 4

Gpt Researcher97

An autonomous agent that conducts deep research on any data using any LLM providers

29.2k 5

Modelcontextprotocol96

The official MCP server implementation for the Perplexity API Platform

2.5k 4

io.github.mims-harvard/tooluniverse96

1000+ scientific tools for AI scientists: life science, reserach, literature, and more.

1.7k 4

MCP Security Weekly

Get CVE alerts and security updates for io.github.assister-xyz/agenttrust and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Security

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "agenttrust": {
      "env": {
        "GROQ_API_KEY": "your-key"
      },
      "args": [
        "-m",
        "src.standards.mcp_server"
      ],
      "command": "python"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-assister-xyz-agenttrust)](https://mcppedia.org/s/io-github-assister-xyz-agenttrust)

Read me

What io.github.assister-xyz/agenttrust does

Challenge-response quality verification for AI agents and MCP servers.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

AgentTrust

Challenge-response quality verification for AI agents and MCP servers.

AgentTrust evaluates AI agent competency before you trust them with real tasks or payments. It connects to any MCP server, runs challenge-response tests across 6 quality dimensions, and issues W3C Verifiable Credentials as proof.

Why

The AI agent ecosystem has identity (ERC-8004, SATI), post-hoc reputation (TARS, Amiko), and payments (x402) — but no pre-payment quality gate. AgentTrust fills this gap: verify competency first, then trust.

Features

Evaluation Engine

3-level pipeline: Manifest (schema) → Functional (tool calls) → Domain Expert (calibrated questions)
6-axis scoring: accuracy (35%), safety (20%), reliability (15%), process quality (10%), latency (10%), schema quality (10%)
Consensus judging: 2-3 LLM judges in parallel with agreement threshold (saves 50-66% LLM calls)
7 LLM provider fallback chain: Cerebras → Groq → OpenRouter → Gemini → Mistral → DeepSeek → OpenAI
5 adversarial probe types: prompt injection, PII leakage, hallucination, overflow, system prompt extraction

Battle Arena

Head-to-head blind evaluation with position-swap consistency
OpenSkill (Bayesian ELO) rating system with divisions (Bronze → Grandmaster)
Fair matchmaking: rating proximity + uncertainty bonus + cross-division challenges
Style control penalties to prevent gaming via verbose/formatted responses

IRT Adaptive Testing

Rasch 1PL calibration from battle data (pure Python, no numpy)
Fisher information maximization for adaptive question selection
EAP ability estimation with standard normal prior
Reduces evaluation cost by 50-90% while maintaining accuracy

Standards

W3C Verifiable Credentials (AQVC format) with Ed25519 DataIntegrityProof
Google A2A v0.3 native support (AgentTrust IS an A2A agent)
x402 Solana payment verification (USDC + SOL)
AIUC-1 protocol mapping

Quick Start

Docker (recommended)

cp .env.example .env
# Add at least one LLM key (GROQ_API_KEY, CEREBRAS_API_KEY, etc.)
docker compose up -d

Services:

Local Development

python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
# Add LLM keys to .env

unset GROQ_API_KEY  # Shell env overrides .env rotation pool
python -m uvicorn src.main:app --host 0.0.0.0 --port 8002 --reload

MCP Server (for Claude, Cursor, Windsurf)

Add to your MCP client config:

{
  "mcpServers": {
    "agenttrust": {
      "command": "python",
      "args": ["-m", "src.standards.mcp_server"],
      "env": {
        "GROQ_API_KEY": "your-key"
      }
    }
  }
}

Or connect to a running instance via SSE:

http://localhost:8003/sse

Available MCP tools:

Tool	Description
`check_quality(server_url)`	Full evaluation: manifest + functional + judge scoring
`check_quality_fast(server_url)`	Cached score (<10ms) or manifest-only (<100ms)
`get_score(server_url)`	Lookup cached score with freshness decay
`verify_attestation(attestation_jwt)`	Verify AQVC JWT and decode payload

API Endpoints

Method	Endpoint	Description
POST	`/v1/evaluate`	Submit target for evaluation
GET	`/v1/evaluate/{id}`	Poll evaluation status
GET	`/v1/score/{target_id}`	Get quality score
GET	`/v1/scores`	Search/list scores
GET	`/v1/badge/{target_id}.svg`	SVG quality badge
GET	`/v1/attestation/{id}`	Get signed attestation (JWT or W3C VC)
POST	`/v1/attestation/{id}/verify`	Verify attestation
POST	`/v1/feedback`	Submit production feedback (anti-sandbagging)
POST	`/v1/battles`	Create evaluation battle
GET	`/v1/arena/leaderboard`	Battle arena leaderboard
GET	`/v1/rankings`	Global rankings by domain/tier

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

66/100across 5 weighted dimensions

How we score →

0255075100

−34

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (4)

Click any tool to inspect its schema.

~274 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.assister-xyz/agenttrust safe to use?: io.github.assister-xyz/agenttrust has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.assister-xyz/agenttrust?: io.github.assister-xyz/agenttrust supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.assister-xyz/agenttrust do?: io.github.assister-xyz/agenttrust provides 4 tools: check_quality, check_quality_fast, get_score, verify_attestation. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.assister-xyz/agenttrust?: io.github.assister-xyz/agenttrust is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is io.github.assister-xyz/agenttrust actively maintained?: io.github.assister-xyz/agenttrust is less actively maintained — last commit was 121 days ago.