B+

mcp.ludo.ai

https://mcp.ludo.ai/mcp
89/100 · MCP Trust Grade · checked 4h ago · MCP 2025-06-18
✓ Watched since 2026-06-03 — behavioral baseline locked. We re-check this server's tool surface on a schedule; if it adds, removes, or silently rewrites a tool (rug-pull), we record it.

What it offers — 22 tools · Search

validateApiKeyEndpoint

Validates an API key. Returns 200 if valid, 403 if invalid.

createImage

createImage. This endpoint consumes 0.5 credits per result.

generateWithStyle

generateWithStyle. This endpoint consumes 0.5 credits per result.

editImage

editImage. This endpoint consumes 0.5 credits per result.

animateSprite

animateSprite. This endpoint's credit cost varies by model and duration. Available models: Blitz (1.9 credits/s, min 4 credits; 1.2s = 4, 1.5s = 4, 2s

generatePose

generatePose. This endpoint consumes 0.5 credits per result.

transferMotion

transferMotion. This endpoint's credit cost varies by model and duration. Available models: Tango (4 credits/s, min 4 credits; 1s = 4, 1.5s = 6, 2s =

listAnimationPresets

Lists available animation presets for use with the transferMotion endpoint

createVideo

createVideo. This endpoint's credit cost varies by model and duration. Available models: Blitz (1 credits/s; 2s = 2, 3s = 3, 4s = 4, 5s = 5, 6s = 6, 7

removeBackground

removeBackground. This endpoint consumes 0.5 credits per result.

create3DModel

create3DModel. This endpoint consumes 3 credits per call.

createSoundEffect

createSoundEffect. This endpoint consumes 2 credits per call.

createAmbiance

createAmbiance. This endpoint consumes 2 credits per call.

createMusic

createMusic. This endpoint consumes 4 credits per call.

createVoice

createVoice. This endpoint consumes 1 credits per call.

createSpeech

createSpeech. This endpoint consumes 1 credits per call.

createSpeechPreset

createSpeechPreset. This endpoint consumes 1 credits per call.

getImageResults

Retrieves recent API-generated image results

+4 more tools

Spec conformance20%100
Security (OWASP MCP)30%100
Reliability / performance20%92
Tool hygiene15%65
Transparency / provenance15%70

Observed behavior

No proxied traffic observed for this host yet. Connect it at /connect and its grade gains a measured Reliability score + per-tool behavioral evidence — the half a static scan can't produce.

Findings

No blocking issues found in the static + spec checks.
Grade another server

We re-grade mcp.ludo.ai on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.

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A 1200×630 card with the grade + audit — drop it in a post, Slack, or your repo.

MCP Trust report card — mcp.ludo.ai grade B+
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A live badge — it re-verifies itself and shows current stability. Static scorecards can't. Paste it in your README or site to show users you're independently audited.

MCP Trust Grade B+ · wmcp.sh
[![MCP Trust Grade B+](https://wmcp.sh/mcp/grade/mcp.ludo.ai/badge.svg)](https://wmcp.sh/mcp/grade/mcp.ludo.ai)
<a href="https://wmcp.sh/mcp/grade/mcp.ludo.ai"><img src="https://wmcp.sh/mcp/grade/mcp.ludo.ai/badge.svg" alt="MCP Trust Grade B+ · wmcp.sh"></a>

Agents: check this before connecting

Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:

https://wmcp.sh/mcp/trust
How this grade is computed. An open, independent rubric — Spec conformance (20%), Security mapped to the OWASP MCP Top 10 (30%), Reliability (20%), Tool hygiene (15%), Transparency (15%) — run by connecting to the server and inspecting its real MCP surface. The grade is free and identical whether or not the operator pays. v1 uses static + spec signals from a single connection; continuous uptime, real latency, and annotation-truthing (declared readOnly vs observed behavior) layer on via the wmcp.sh proxy.