"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP servers:

Provides usage data from @ccusage/pi and tools to switch between AI providers (e.g., Claude Code, OpenAI Codex, CursorAI) using load-balancing or high-availability strategies.

Enables AI agents to auto-load a persistent skill library at session start, and provides proxy tools for MiniMax vision and web search that work around broken MCP stdio transports.

Generates project features (HTML pages, backend APIs) from prompts and project-specific business rules stored as resources, with support for interchangeable LLM providers (local Ollama or cloud Gemini).

An extensible framework that exposes quantitative research functions and financial data connectors, such as FRED, via an MCP server. It enables users to perform complex financial modelling, data retrieval, and autonomous research loops with built-in guardrails and pluggable components.

MCP server to mock OpenAI, Anthropic, and Google Gemini responses for testing AI integrations without real API keys or token spend.

Runtime constitutional verification for AI answers — claim extraction with reasoning chains, Epistemic Confidence Score (ECS), 7-angle Glassbox Court red team, constitution compilation, Trust Card assembly, and deterministic SHA-256 audit logs.

A Model Context Protocol server for LLM fuzzing and testing, providing secure access to multiple AI providers through a standardized interface.

Read-only relational-readiness preflight for AI agents evaluating market trust, permission, evidence gaps, pilot readiness, and scale readiness in African and other high-context markets.

MCP server that routes AI chat requests to the best available provider (Anthropic, OpenAI, Groq, etc.) with automatic fallback, budget caps, and model-tier routing.

A production-grade MCP server that automates financial compliance audits by combining LLMs with structured analysis, enabling policy validation, risk profiling, and automated reporting.

A plugin-based MCP server framework that auto-discovers service modules such as ComfyUI, PPT generation, TTS, and Spine2D, enabling any MCP client to connect and use these capabilities.

Enterprise-grade MCP framework for building production-ready AI tools with data quality, security, audit trails, and comprehensive testing.

Provides access to Agno framework documentation for AI agents, enabling search and retrieval of SDK references, API endpoints, code examples, and integration guides through MCP-compatible tools.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.

An MCP server for deterministic prompt optimization in Claude Code. Score prompts across 7 quality dimensions, auto-select from 11 Anthropic techniques, and return a structural scaffold.

Gaudio Lab Audio AI — Stem Separation, DME Separation, AI Text Sync

Cross-platform ad management MCP server for Google Ads and Meta Ads. Campaign analytics, A/B testing with z-test, anomaly detection, and budget reallocation. 15 tools, 60 tests.

Independent trust scores, claim audits, and side-by-side comparisons for AI agents, queryable over MCP. Every verdict is backed by hands-on testing and signed evidence from Hlido (hlido.eu). Hosted endpoint available at https://hlido.eu/mcp — no auth required.

MCP server that gives visual reference to MCP clients by calling an OpenAI-compatible vision API, enabling image description with optional auto-selection of the newest pasted image.

MCP server exposing the Safer Agentic AI safety framework: 238 patterns + 14 operational heuristics via 12 read-only stdio tools.