#analyze

A quickstart to test MCP blog analyzer client and a webpage visitor server

An MCP server for analyzing open source projects and assisting with codebase integration

MCP server for analyzing code for bugs, errors, and functionality issues

A Model Context Protocol (MCP) server for analyzing code repositories with special tools for the Nostr protocol and NDK.

An MCP server that analyses a writer’s style and generates a blog post.

MCP Server for Analyzing Tokens using the Coin Gecko API. Includes RSI, EMA, MACD, Bollinger Bands, Golden-Cross and Death-Cross.

Analyze and fix any types in TypeScript with an intelligent MCP server – fast, extensible, and React-aware.

Professional MCP server for seamless Figma design analysis with intelligent comment processing and automated asset downloads. 5-Step Workflow: Framework selection → Design data → Comments → Assets → Reference analysis AI-Optimized: Structured data specifically formatted for AI code generation 10 Framework Support: React, Vue, Angular, Svelte, HTML/CSS/JS, SwiftUI, UIKit, Electron, Tauri, NW.js Smart Comments: Coordinate-based matching of designer comments to UI elements Asset Downloads: Batch download with original Figma export settings CSS Generation: Automatic CSS from Figma properties (padding, margins, borders, effects)

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## What Peekaboo Can Do Peekaboo provides three main tools that give AI agents visual capabilities: - **`image`** - Capture screenshots of screens or specific applications - **`analyze`** - Ask AI questions about captured images using vision models - **`list`** - Enumerate available screens and windows for targeted captures Each tool is designed to be powerful and flexible. The most powerful feature is visual question answering - agents can ask questions about screenshots like "What do you see in this window?" or "Is the submit button visible?" and get accurate answers. This saves context space since asking specific questions is much more efficient than returning raw image data. Peekaboo supports both cloud and local vision models, letting you choose between accuracy and privacy.

MCP Server for analyzing outstanding changes to a repo

Repo Context MCP provides programmatic access to repository contents for integrations and automation. It can list directories/files, read any file, return the README, perform TypeScript type analysis (via ts-morph), and search for OpenAPI/Swagger spec files. Supports local repo paths and reading from private GitHub repos when GITHUB_TOKEN is set in the environment. Ideal for code analysis, docs generation, and CI pipelines.