What is the Laddoo Score?
The Laddoo Score is a consistent score from 0 to 100 derived from a fixed evaluation framework. Tier mapping: VITAL ≥ 90, STEADY ≥ 70, FADING ≥ 40, and FLATLINE < 40.
@ankitkapur1992-hlido
Basic information
Independent, evidence-backed reviews of AI agents — machine-readable scorecards, claim audits, C2PA-signed proof. Public data mirror of hlido.eu
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"hlido": {
"type": "streamable-http",
"url": "https://hlido.eu/mcp"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
Hlido is an independent review platform that provides evidence-backed evaluations of AI agents. It offers C2PA-signed proof, machine-readable scorecards, and a consistent Laddoo Score (0–100) for every reviewed agent. It is designed for buyers, teams, and other agents that need to verify claims about AI agents. Hlido also exposes a live MCP server with 9 tools for querying reviews and scores.
Use the MCP server at https://hlido.eu/mcp via JSON-RPC 2.0. No authentication is required, and it is free to call. Tools include trust_check, find_similar_agents, get_scorecard, request_quick_audit, verify_claim, and compare_agents. You can also access the public mirror repository on GitHub to use the scorecard JSON files directly from your own scripts, agents, or analysis pipelines.
The Laddoo Score is a consistent score from 0 to 100 derived from a fixed evaluation framework. Tier mapping: VITAL ≥ 90, STEADY ≥ 70, FADING ≥ 40, and FLATLINE < 40.
Screenshots and (where applicable) terminal casts are cryptographically signed with C2PA, so the captured proof can be verified as un-tampered.
No. The MCP server at `https://hlido.eu/mcp` is free to call and requires no authentication. It uses JSON-RPC 2.0.
Reviews are mirrored in this public repository. Machine-readable scorecards are available as JSON files at `scorecards/{slug}.json`. The data is also indexed on Smithery, HuggingFace, and the awesome-mcp-servers list.
The register scores MCP servers based on tool-poisoning, dangerous-capability, and auth-posture red-flags, with published per-flag evidence. Classifications are SAFE, CAUTION, RISKY, or DANGEROUS.
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
Learn how to use MCP Servers with GitHub Copilot
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.

Model Context Protocol Servers
Yuque mcp server
Comments