357 boosters for "context" — open source, verified from GitHub, ready to install
An MCP server that integrates Crawlbase API for web scraping capabilities into AI agents and code editors like Claude, Cursor, and Windsurf. Developers building AI applications needing reliable web data extraction benefit from this seamless integration.
Integrates Google Gemini CLI as a code review and debugging partner, allowing developers to get second-opinion analysis on implementations, edge cases, and alternative approaches without leaving their coding environment.
Recall automatically searches across memory sources when users make vague references to past conversations, helping an AI assistant reconstruct context without guessing. Ideal for users who frequently reference earlier discussions and need reliable context retrieval.
Total Recall preserves Claude Code session context before resets or token limits, allowing developers to seamlessly restore critical work state, decisions, and artifacts. Ideal for long-running projects and complex multi-task workflows.
LinkedIn MCP Server enables Claude to interact with LinkedIn data and functionality through the Model Context Protocol. Developers building AI assistants that need LinkedIn integration will find this valuable.
"name": "diff-fox-marketplace", "name": "mthooyavan", "email": "mthooyavan@users.noreply.github.com"
gomcp provides a Go implementation of the Model Context Protocol to enable AI agents in Cursor to interact with external tools and resources through a standardized interface. Developers using Cursor who need to extend AI capabilities with custom integrations benefit from this protocol implementation.
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
Read the user's memex before doing anything else. It is the current map of what is active, what changed, and where deeper evidence lives. Canonical memex path: 1. Read the memex already in context or call .
"name": "codebase-context", "description": "Pre-maps your codebase architecture, conventions, and team memory so AI agents navigate with precision instead of exploring. Local-first MCP server with AST-backed hybrid search.", "main": "./dist/lib.js",
"name": "@kimuson/modular-mcp", "version": "0.0.10", "description": "Modular MCP - Modular tool access for reducing context overhead",
A comprehensive Model Context Protocol (MCP) server that provides web performance auditing, accessibility testing, SEO analysis, security assessment, and Core Web Vitals monitoring using Google Lighthouse. Enables LLMs and AI agents to perform detailed website analysis with 13+ specialized tools.
"name": "prd-generator", "description": "Generate comprehensive Product Requirements Documents (PRDs) from conversation context. Use when planning new features, products, or projects.", "name": "Denis Redozubov",
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context pro
"name": "claude-mem-lite", "description": "Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. A lighter, lower-cost alternative to claude-me
"name": "evolving-lite", "description": "Self-evolving Claude Code system that learns from corrections, manages context, and improves every session", "name": "PrimeLine AI",
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
"name": "@goplausible/algorand-mcp", "description": "Algorand Model Context Protocol Local Implementation", "build": "tsc && cp -r src/resources/knowledge/taxonomy src/resources/knowledge/taxonomy-categories dist/resources/knowledge/ && chmod +x dist/index.js",
An MCP server that enables AI systems to store and retrieve information using semantic memory with vector embeddings and pgvector. Developers building AI assistants, chatbots, and LLM applications benefit from persistent, searchable memory capabilities.
Blockscout MCP Server enables AI agents and automation tools to query blockchain data directly, including account balances, transaction history, and smart contract interactions. Developers building AI-powered blockchain applications, trading bots, and automation tools benefit from seamless blockchain data access.
Heuristic scoring (no AI key configured).
A Model Context Protocol server that integrates Claude with Nostr, enabling AI assistants to post notes and interact with the decentralized social network directly. Useful for developers building AI-powered Nostr applications and users wanting AI automation in Nostr workflows.
"name": "claude-context-optimizer", "description": "ContextShield, CLAUDE.md analyzer, interactive dashboard, confidence learning, and token optimization for Claude Code", "name": "Egor Fedorov"
