198 boosters for "LLM" — AI-graded, open source, ready to install
Automates synchronization of custom Ollama models across distributed Vera AI clusters using YAML configuration and templating. Benefits DevOps engineers and teams managing multi-instance LLM deployments who need centralized model management.
A debate judge agent that objectively evaluates arguments using zero-sum scoring across Toulmin structure, evidence strength, and logical rigor. Ideal for researchers, educators, and developers building computational debate systems.
ElixirScope is a specialized Cursor rules configuration that enhances Elixir/BEAM debugging by providing execution analysis guidance, testing protocols, and code mapping standards. It benefits Elixir developers using Cursor who need structured debugging workflows and LLM-assisted runtime visualization.
This MCP Server converts Figma designs into pseudo-code structures that LLMs can easily understand, enabling seamless design-to-code workflows for developers and designers building prototypes and applications.
A WhatsApp CLI skill that enables querying chats, searching messages, sending/forwarding content, and managing groups directly from Claude Code. Useful for developers automating WhatsApp interactions or building WhatsApp-integrated applications.
A lightweight MCP server that enables AI agents to send real-time progress updates directly to Telegram, supporting text, images, and files. Ideal for developers who want instant notifications from long-running AI tasks without polling or complex integrations.
An MCP Server that enables Claude to execute SQL queries and interact with databases (PostgreSQL via Sequelize). Developers building AI applications that need database access will find this useful for data retrieval and manipulation tasks.
A Cursor IDE rules configuration providing comprehensive development standards and best practices for LLM application development, including project structure guidelines, coding principles, and documentation conventions.
The MCP TypeScript SDK is a comprehensive toolkit for building and integrating Model Context Protocol servers and clients in TypeScript applications. Developers building AI-powered tools, Claude integrations, or context-aware LLM applications benefit from its standardized approach to managing resources, tools, and prompts.
An MCP server that integrates Codex CLI with Claude Code and Claude Desktop, enabling developers to leverage Codex capabilities within Claude's ecosystem for enhanced code generation and AI-assisted development.
This MCP server transforms linear AI reasoning into structured, auditable thought graphs using DAG (directed acyclic graph) representations, enabling developers to visualize and verify AI decision-making processes with full traceability.
The MCP TypeScript SDK enables developers to build and integrate Model Context Protocol servers and clients, allowing applications to provide standardized context to LLMs. It's essential for developers building AI-powered applications that need to expose resources, tools, and prompts in a protocol-compliant way.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
An MCP server that automates the installation and setup of other MCP servers, streamlining the process of extending Claude's capabilities. Developers and Claude users benefit by reducing manual configuration overhead when adding new MCP integrations.
Augure — your proactive AI agent
brosh is a Cursor-integrated MCP server that enables AI assistants to capture full-page browser screenshots with scrolling support using Playwright. Developers using Claude in Cursor benefit from automated visual webpage inspection for debugging, testing, and content analysis.
An MCP server that provides structured access to adversarial tactics and cyber attack techniques for security research, penetration testing, and AI safety evaluation. Useful for security professionals, red teamers, and AI safety researchers studying attack vectors.
A system prompt that guides LLMs to act as rigorous sustainability and risk analysts for Polkadot governance proposals, evaluating treasury allocations through investment frameworks, fiscal precedent, and accountability mechanisms.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
Atlas Guardrails provides context packing and duplicate detection tools to help AI coding assistants manage large codebases efficiently and avoid redundant code generation. Developers working on large projects benefit from cleaner context and reduced code duplication.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
Geist provides Cursor-integrated coding rules and best practices for Python, SQLAlchemy, logging, and server development using FastAPI and LLM models. It helps developers maintain consistent code standards and proper patterns when building AI-powered applications.
