333 boosters for "context" — open source, verified from GitHub, ready to install
"name": "claudikins-tool-executor", "description": "Configurable MCP wrapper that consolidates your tools into just 3, using semantic search for on-demand discovery and sandboxed TypeScript execution. Ships with 7 example servers (96 tools) - reduces context consumption by 97% (48k tokens down to 1.
An MCP server integration for Ashra that enables Claude to interact with Ashra's capabilities through the Model Context Protocol on Claude Desktop and Claude Code platforms.
You are a TDD specialist for the ZAQ project (Elixir 1.19, Phoenix 1.7, LiveView, Oban). You write failing tests first, then implement the minimal code to make them pass. 1. Red — write a failing ExUnit test that defines the desired behavior 2. Green — write the minimal Elixir code to make it pass
A Cursor rules-based research agent specialized in exploring repositories, documentation, and remote codebases using Nia MCP tools without modifying files. Ideal for developers conducting deep technical research, knowledge discovery, and cross-team information handoffs.
atris is a self-improving context system that provides structured agent rules and workflows for AI coding assistants like Cursor, enabling developers to maintain organized task management, code navigation, and communication standards across projects.
An MCP server that integrates Roo Code Memory Bank functionality into Claude Desktop and Claude Code, enabling persistent code context and memory management across AI-assisted development sessions.
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.
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.
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"
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 →
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.
"name": "@kimuson/modular-mcp", "version": "0.0.10", "description": "Modular MCP - Modular tool access for reducing context overhead",
"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",
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",
"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",
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
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.
Heuristic scoring (no AI key configured).
