"Boost" matching MCP servers:

This MCP server lets coding agents read and write a plain-markdown wiki, then audits that memory and local session transcripts to produce drift reports, session digests, and reusable lessons.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.

A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.

An AI-assisted programming enhancement system that integrates decision-making, memory management, semantic search, documentation query, and UI/UX tools via the MCP protocol to boost developer productivity.

Enables AI agents to use a hybrid dense+sparse RAG system with tag-based long-term memory (importance, knowledge-type decay, access-frequency boost) via MCP tools for document ingestion, hybrid search, staged reranking, forgetting, and index management.

Provides tools and guides for Spring Boot development including code generation, security audit, and query optimization.

Integrates with the Boostcamp fitness platform to provide access to training history, workout programs, custom exercises, and analytics through Claude.

Reduces token costs for AI coding agents by indexing code symbols and returning only relevant functions/classes for a given task.

Enables AI coding assistants to persist and recall project-specific conventions, prohibitions, and repair lessons locally, with approved rule injection before tasks and no external API calls.

Booster MCP turns complex codebases into understandable systems with semantic search, 3D visualization, and debugging tools.