"Burp Suite" matching MCP servers:

VisionPower enables AI agents to analyze images, read text from screenshots, and interpret charts using any OpenAI-compatible vision model. It supports local images, URLs, base64, and multiple images with order preservation.

Enables scanning text for policy and safety issues, generating test suite outlines, and checking the configuration/health of the evaluation setup.

Enables input/output policy validation via MCP, including scanning text for policy and safety issues, generating test suite outlines, and checking configuration health.

Enables account-less access to all 45 Google Gemini models and autonomous agents for text generation, multi-step reasoning, deep research, image/video/audio generation, grounded search, and embeddings via L402, x402, and MPP.

Provides 75 tools for the Kinetic Gain Protocol Suite, including validation, inspection, and attestation for 12 specs such as AEO, Prompt Provenance, Agent Cards, and DefenseTech modules. Enables agents to interact with these protocols directly in MCP-compatible clients.

Gives MCP clients a suite of AI photo-editing and design tools — background removal, upscaling, object/watermark erasing, sky and background replacement, retouching, generative fill — along with multi-layer design composition and rendering to PNG, JPEG or PDF. Every call is proxied with an API key to the snapnedit API, so no models run locally.

AI search intelligence + Ahrefs-class SEO suite as 59 MCP tools. Track your brand across ChatGPT, Google AI Overview, Gemini, Claude, and Perplexity with persona-anchored Brand Radar dispatches.

43 x402-enabled API tools — DeFi, wallet security, AI/ML, developer tools, SEO. Pay-per-call USDC on Base via x402 protocol.

Enables AI agents to generate Nano Banana 2 images and Omni Flash/Veo 3.1 videos through Google Flow, with tools for checking render status and managing projects.

Enables agents to browse and retrieve benchmark reasoning tasks, deterministically grade submitted answers, run the evaluation suite against a model provider, and inspect data provenance and the ranking-stability index entry. It also supports scoring stability analysis across repeated runs and prompt variants via its tools.

Provides a suite of AI tools for web search, mathematical calculations, and tech news aggregation via MCP, leveraging Groq LLMs.

An MCP server suite for administering LiteLLM gateways, exposing tools to manage models, keys, teams, users, and spending, along with an admin GUI and an encrypted reverse proxy for secure access.

Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.

Lets MCP clients browse benchmark tasks, inspect individual tasks, grade answers, execute the benchmark suite, and fetch provenance metadata.

Enables Claude Desktop to connect to Anthra Studio for AI-powered web design generation and multi-page suite management via the Model Context Protocol.

Enables AI coding assistants and agents to natively generate images, videos, 3D meshes, Gaussian splats, and speech, and to manage media assets, through natural language commands or automated scripts over the Model Context Protocol. It exposes 55 tools alongside a Python CLI automation suite for batch generation, camera-orbit passes, credit/cost estimation, and companion API bridge integration.

Enterprise MCP gateway suite providing 22 unified tools across hardware telemetry, security auditing, AES-256-GCM encrypted storage, HMAC verification, and Amazon Bedrock media generation.

Enables users to learn and experiment with the Model Control Protocol through a FastAPI-based server that integrates FastEmbed embeddings and LangChain with Groq for model management and deployment.

A versatile MCP server that enables natural language software development tasks using multiple LLM providers (OpenAI, Anthropic) with real-time visualization, cost management, and a comprehensive tool suite.

Enables AI assistants to analyze RenderDoc GPU frame captures for graphics debugging and performance analysis through a headless Python API. It provides a comprehensive suite of tools for inspecting pipeline states, shader bindings, and exporting frame resources like textures and meshes.