Is io.github.vdineshk/dominion-observatory safe to use?

io.github.vdineshk/dominion-observatory 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.

How do I install io.github.vdineshk/dominion-observatory?

io.github.vdineshk/dominion-observatory can be installed by cloning its GitHub repository and following the setup instructions in the README.

What can io.github.vdineshk/dominion-observatory do?

io.github.vdineshk/dominion-observatory provides 8 tools: check_trust, report_interaction, get_leaderboard, get_baselines, check_anomaly and 3 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.vdineshk/dominion-observatory?

io.github.vdineshk/dominion-observatory is compatible with claude-desktop, cursor, claude-code. It uses http transport.

Is io.github.vdineshk/dominion-observatory actively maintained?

io.github.vdineshk/dominion-observatory is actively maintained — last commit was 4 days ago. It has 1 GitHub stars.

io.github.vdineshk/dominion-observatory

Behavioral trust layer for AI agents. Check trust scores, report interactions, detect anomalies.

1 8 tools GitHub

No known CVEs

No license

Actively maintained

Last commit 4d ago

Works with most clients

Transport: http

8 tools · ~534 tok

Grade B · 0.3% of 200K ctx

Edit this pageView history

Security Analytics

Step 1

Install in your client

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

Supported in Claude Desktophttp · Node 18+

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

{
  "mcpServers": {
    "io-github-vdineshk-dominion-observatory": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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-vdineshk-dominion-observatory)](https://mcppedia.org/s/io-github-vdineshk-dominion-observatory)

Read me

What io.github.vdineshk/dominion-observatory does

The behavioral trust layer for the AI agent economy.

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

67/100across 5 weighted dimensions

How we score →

0255075100

−33

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (8)

Click any tool to inspect its schema.

~534 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.vdineshk/dominion-observatory safe to use?: io.github.vdineshk/dominion-observatory 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.
How do I install io.github.vdineshk/dominion-observatory?: io.github.vdineshk/dominion-observatory can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can io.github.vdineshk/dominion-observatory do?: io.github.vdineshk/dominion-observatory provides 8 tools: check_trust, report_interaction, get_leaderboard, get_baselines, check_anomaly and 3 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.vdineshk/dominion-observatory?: io.github.vdineshk/dominion-observatory is compatible with claude-desktop, cursor, claude-code. It uses http transport.
Is io.github.vdineshk/dominion-observatory actively maintained?: io.github.vdineshk/dominion-observatory is actively maintained — last commit was 4 days ago. It has 1 GitHub stars.

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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

Security Analytics

Step 1

Install in your client

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

Supported in Claude Desktophttp · Node 18+

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

{
  "mcpServers": {
    "io-github-vdineshk-dominion-observatory": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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-vdineshk-dominion-observatory)](https://mcppedia.org/s/io-github-vdineshk-dominion-observatory)

Read me

What io.github.vdineshk/dominion-observatory does

The behavioral trust layer for the AI agent economy.

Test This Server

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

README

Dominion Observatory

The behavioral trust layer for the AI agent economy.

Check MCP server reliability before you call. Report outcomes to strengthen the trust network.

🌐 Live: https://dominion-observatory.sgdata.workers.dev 📡 MCP Endpoint: https://dominion-observatory.sgdata.workers.dev/mcp

What is this?

Every AI agent needs to know: "Can I trust this MCP server?" The Dominion Observatory answers that question with real runtime data — not GitHub stars, not static scans, but actual performance metrics from real agent interactions.

Before calling an unknown MCP server → check_trust tells you if it's reliable
After calling any MCP server → report_interaction contributes to the trust network
Every report makes scores better for everyone — this is a collective intelligence system

Tools (8)

Tool	Description
`check_trust`	Get trust score and reliability metrics for any MCP server
`report_interaction`	Report success/failure after calling an MCP server
`get_leaderboard`	Top-rated MCP servers by category
`get_baselines`	Behavioral baselines for a tool category
`check_anomaly`	Is this server behavior normal or anomalous?
`register_server`	Register a new MCP server (free)
`get_server_history`	30-day trust score trend for a server
`observatory_stats`	Overall network statistics

Quick Start

For agents (MCP)

Connect to: https://dominion-observatory.sgdata.workers.dev/mcp

For developers (REST API)

# Check trust score
curl "https://dominion-observatory.sgdata.workers.dev/api/trust?url=https://example.workers.dev/mcp"

# View leaderboard
curl "https://dominion-observatory.sgdata.workers.dev/api/leaderboard"

# Network stats
curl "https://dominion-observatory.sgdata.workers.dev/api/stats"

How Trust Scores Work

Trust scores range from 0-100 and combine two signals:

Static score (30%): GitHub presence, documentation quality, authentication support
Runtime score (70%): Real success rates, latency, error patterns from agent interactions

Scores above 70 = reliable. Below 30 = risky. The more agents report interactions, the more accurate scores become.

Architecture

Runtime: Cloudflare Workers (330+ global edge locations, <1ms cold start)
Database: Cloudflare D1 (SQLite at the edge)
Protocol: MCP (Model Context Protocol) + REST API
Cost: Runs on free tier

Data Collection

Started: April 8, 2026

Every interaction reported to the observatory strengthens the trust network for all agents. The behavioral dataset compounds daily — it cannot be replicated by competitors who start later.

Operator

Built by Dinesh Kumar in Singapore. Part of the Dominion Agent Economy Engine (DAEE).

License

MIT

Loading README…

Scored, not listed

Why this score

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

Score breakdown

67/100across 5 weighted dimensions

How we score →

0255075100

−33

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (8)

Click any tool to inspect its schema.

~534 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.vdineshk/dominion-observatory safe to use?: io.github.vdineshk/dominion-observatory 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.
How do I install io.github.vdineshk/dominion-observatory?: io.github.vdineshk/dominion-observatory can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can io.github.vdineshk/dominion-observatory do?: io.github.vdineshk/dominion-observatory provides 8 tools: check_trust, report_interaction, get_leaderboard, get_baselines, check_anomaly and 3 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.vdineshk/dominion-observatory?: io.github.vdineshk/dominion-observatory is compatible with claude-desktop, cursor, claude-code. It uses http transport.
Is io.github.vdineshk/dominion-observatory actively maintained?: io.github.vdineshk/dominion-observatory is actively maintained — last commit was 4 days ago. It has 1 GitHub stars.