654 boosters for "lit" — AI-graded, open source, ready to install
Pipeshub MCP Server is a local Model Context Protocol server that integrates Pipeshub's functionality with Claude Desktop and Claude Code, enabling developers to access pipeline and API management tools directly within their AI coding environment.
TakoData Tako MCP enables AI agents to query and visualize real-time data by integrating Tako's data capabilities, helping developers build data-driven applications with live insights.
Mcp Translate MCP Server enables text translation within Claude using the Model Context Protocol and DeepL's translation API. Developers and Claude users benefit from seamless, integrated translation capabilities for multilingual workflows.
This MCP server provides scientific computation capabilities for linear algebra and vector operations, enabling developers and researchers to perform complex mathematical calculations directly within Claude and Cursor environments.
This MCP server provides real-time Singapore transportation data including bus arrivals, train alerts, and carpark availability. It's useful for developers building travel planning apps, mobility integrations, and location-based services in Singapore.
This MCP server enables Claude to generate interactive ECharts visualizations by converting data into chart configurations. It's valuable for developers and data analysts who want to create dynamic, publication-quality charts directly within Claude conversations.
A skill for looking up Swedish medication information from the official FASS database, helping users understand dosages, side effects, interactions, and prescriptions in Sweden.
A complete Coda API client with MCP integration that enables Claude to interact with Coda documents and workspaces, automatically handling large content through chunking. It's valuable for developers and teams using Coda who want to automate workflows and integrate AI capabilities.
Cursor Rules for attestr, a Nostr-based decentralized protocol for mutually-signed agreements. Developers building Nostr applications with React can use this to integrate protocol rules and contract functionality into their cursor-based workflow.
TypeScript Base Guidelines provides cursor-specific rules for maintaining type safety, naming conventions, and best practices in Next.js projects within the Circles Clinic UI codebase. It benefits TypeScript developers using Cursor who want consistent code quality and standards.
FORGE Framework DevOps specialist agent that handles infrastructure, deployment, monitoring, and operational concerns with awareness of Claude model capabilities and MCP server integrations. Ideal for teams managing cloud infrastructure, CI/CD pipelines, and DevOps automation workflows.
An MCP server that provides instant access to browser compatibility data and web API support information from the caniuse database, helping developers quickly check feature support across browsers without leaving their IDE.
AgentMail provides AI agents with dedicated email inbox functionality similar to Gmail, enabling agents to send, receive, and manage emails programmatically. This is valuable for developers building autonomous AI systems that need to communicate via email or integrate with email-based workflows.
Quick Status provides a fast, lightweight way to check project progress by reading a single PROJECT_STATUS.md file and outputting key sections in under 500 tokens. Developers and project managers benefit from quick status visibility without scanning entire vaults.
Decode — Cursor Rules enforces Ultracite code standards (a Biome preset) for TypeScript/JavaScript projects, helping teams maintain consistent, high-quality code through automated formatting and linting. Developers using Cursor will benefit from integrated rule enforcement.
Copilot Instructions that define a three-stage CI/CD/Release workflow for the crankshaft.core project, enabling developers to automate code quality checks, multi-architecture builds, and versioned releases. Benefits DevOps engineers and maintainers managing complex multi-platform deployments.
A Python code implementation agent that writes clean, tested code following project patterns and quality standards during the Code phase of development. Useful for developers who want AI assistance converting failing tests into passing implementations while maintaining architectural consistency.
Cursor Rules provides Next.js 14+ best practices and architectural guidelines for maintaining consistent, high-quality page components in modern Next.js projects. It benefits Next.js developers using Cursor who want automated, contextual guidance on App Router patterns, server/client component distinctions, and code organization.
Second Brain MCP is a semantic search engine for your codebase that lets you find code by natural language queries (like "find the auth bug") instead of grep, using embeddings and local SQLite vector search. It's ideal for developers who want faster code navigation and context awareness across large projects.
A specialized agent that provides advanced statistical analysis, data visualization, and predictive modeling capabilities for teams needing comprehensive data insights. Ideal for data scientists, business analysts, and development teams integrating data analysis workflows into larger systems.
A Windsurf-specific development ruleset emphasizing accessibility-first practices, clear documentation, and organized code structure for building fitness applications with integrated health tracking features.
Cursor-Demo provides a comprehensive set of development rules and workflows (SPARC methodology) designed to guide AI-assisted coding in Cursor with emphasis on code quality, security, and structured collaboration between human developers and autonomous agents.
Cursor Rules for enforcing organization-wide coding standards in Python, covering readability, naming conventions, documentation, and code structure. Developers using Cursor IDE benefit from consistent code quality and automated standard enforcement.
ToneSoul is a governance framework system prompt that adds structured decision-making, risk monitoring, and accountability tracking to AI interactions through a six-step protocol and metric-based safety gates. It benefits developers and organizations seeking transparent, auditable AI behavior across multiple platforms.
