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GitHub
AI Infra·2024
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AI-Infra-Guard (A.I.G)

Yong Yang, Xing Zheng +7·Tencent Zhuque Lab, Tencent Security Platform Department +1

Full-stack AI red‑teaming platform that fingerprints AI infrastructure for known CVEs, audits MCP servers and agent skills with LLM-driven analysis, and runs cross-model jailbreak evaluations; designed for hands-on security assessment of AI deployments.

#security#mcp#mcp-server#agent-skills#vllm+4
GitHub
AI Agent·2025
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PentAGI

VXControl (VXControl LLC-FZ), PentAGI Development Team·VXControl

Runs penetration tests autonomously: a multi-agent system (researcher, developer, executor) plans attacks, writes and runs exploit code, and chains 20+ tools like nmap, metasploit and sqlmap in isolated Docker containers — for authorized testing only.

#security#ai-agent#agent-skills#docker#llm+3
GitHub
MCP Server·2025
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Vexa

Vexa-ai

Runs a self-hosted meeting bot and transcription API that joins Google Meet, Teams and Zoom and streams speaker-attributed transcripts in real time. Compiles meetings into a git-backed Markdown workspace and runs sandboxed agents on your infrastructure; Apache-2.0 and air-gap capable.

#stt#mcp-server#ai-agent#ai-api#chatbot+8
GitHub
AI Agent·2025
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DeepTeam

Jeffrey Ip·Confident AI

Simulates adversarial attacks against LLMs and AI agents to surface vulnerabilities (e.g., jailbreaks, prompt injection, PII leakage) and ships guardrails to block risky inputs/outputs; runs locally and can be driven from CLI or Python.

#LLM#evaluation#ai-agent#security#privacy+4
GitHub
MCP Server·2025
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DBHub

Bytebase

Lets AI agents like Claude Desktop and Cursor explore schemas and run SQL across Postgres, MySQL, MariaDB, SQL Server, and SQLite through one MCP server. A read-only mode stops the agent mutating data; no per-database drivers to wire up.

#mcp#mcp-server#postgres#docker#nodejs+5
GitHub
MCP Server·2025
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IDA Pro MCP

Bridges IDA Pro with language-model MCP clients so LLMs can query, inspect, modify and annotate disassemblies through a typed MCP API. Provides batch-first analysis tools (decompile, xrefs, int_convert), headless idalib support, and integrations for many MCP clients; requires commercial IDA Pro and Python 3.11+.

#mcp#mcp-server#mcp-client#plugin#python+4
GitHub
MCP Server·2025
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JADX-MCP-SERVER

zinja-coder

Exposes a local MCP server that lets LLMs (e.g., Claude Desktop) query decompiled Android app context from a modified JADX GUI—supporting class/method retrieval, resources, xrefs, and debugger hooks for interactive reverse engineering workflows.

#mcp-server#mcp#android#python#java+5
GitHub
MCP Server·2025
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UniFi MCP

Provides MCP servers and agent skills that let AI assistants query, correlate and safely manage UniFi controllers (Network, Protect, Access). Includes a Cloud Relay for multi-location access, an independent REST/GraphQL API, secret redaction and preview-then-confirm mutation flows for safer automation.

#mcp#mcp-server#mcp-client#agent-skills#python+5
GitHub
AI Agent·2025
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Decepticon

PurpleAILAB

Autonomous Red Team agent that plans and executes realistic attack chains (reconnaissance, exploitation, pivoting, C2) while producing Rules of Engagement and an OPPLAN and running actions inside a hardened sandbox; intended for authorized red-team engagements and defensive verification.

#ai-agent#agent-skills#security#docker#python+3
GitHub
AI Deploy·2025
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π RuView

ruvnet·rUv (Reuven Cohen)

Turns commodity WiFi Channel State Information into spatial sensing: 17-keypoint pose estimation, presence detection, and contactless breathing/heart-rate monitoring through walls, with no camera. Runs on a mesh of ESP32-S3 nodes (~$9 each).

#github#ai-tools#ai-development#ai-inference#pytorch+2
GitHub
AI Agent Tutorials·2025
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Agents Towards Production

Nir Diamant, DiamantAI Collective

A code-first collection of runnable tutorials for building production-ready generative-AI agents — step-by-step guides covering stateful workflows, vector memory, RAG, tool integrations, Docker/AWS/RunPod deployment, security guardrails, observability, and multi-agent patterns.

#ai-agent#RAG#llm#docker#mcp+5
GitHub
MCP Server·2025
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Archestra

Archestra AI (archestra-ai)

Centralized enterprise platform to manage org-wide MCP servers with a private MCP registry, security guardrails, cost controls, and observability. Offers a Kubernetes-native orchestrator, built-in RAG knowledge base, security sub-agents, and tools for governed AI adoption.

#mcp#mcp-server#mlops#security#RAG+4
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