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A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.

AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.

Save tokens while coding — your AI agent gets structured code context, not file dumps. CodeWeave is an MCP server that gives AI agents structured code intelligence instead of dumping entire files into context. Your agent queries local indexes — AST, call graph, type graph, and hybrid semantic search — and gets back only what it needs. The result: less token waste, more relevant context, better coding decisions. It supports 7 languages (Python, TypeScript, JavaScript, Go, Rust, Java, C#) with a 6-stage hybrid search pipeline combining vector embeddings, full-text search, and structural density scoring. Everything runs locally with zero external dependencies beyond Ollama for embeddings. Monorepo and git worktree support included. A file watcher keeps indexes current as code changes — no manual reindexing needed. ATTENTION: Run "npx @codeweave/mcp" in your project directory first. The setup wizard handles everything for you. At first, it may take some time. INFO: Exhaustively tested on large Java, C#, JavaScript, TypeScript, React codebases. Contributions and feedback are welcome.

Enables teams to create a shared knowledge base where members can store, search, and validate information collectively. Provides semantic search across team memories with granular permissions and collaborative verification features.

An MCP server that connects Claude to Perplexity Comet for agentic web browsing and deep research via an isolated browser instance. It enables Claude to delegate complex navigation, login flows, and real-time task monitoring to Perplexity's specialized research intelligence.

Connects Claude to Perplexity Comet's agentic browser for autonomous web browsing, deep research, and real-time task monitoring. Enables Claude to delegate web research tasks and receive comprehensive results through multiple browsing modes.

全面解析Commit Convention MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Commit Convention MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Provides comprehensive Norwegian business intelligence through Brønnøysund and Statistics Norway APIs, enabling company search, financial analysis, ownership mapping, market research, and automated financial data extraction.

Enables Claude to interact with Google Workspace services including Gmail, Drive, Sheets, Docs, and Calendar. Provides comprehensive tools for reading, creating, and managing emails, files, spreadsheets, documents, and calendar events with built-in safety controls and audit logging.

Enables AI assistants to fetch README content, package metadata, dependencies, and search Composer/PHP packages from Packagist with smart caching and GitHub integration.

Provides seamless access to the ConceptNet semantic knowledge graph, enabling concept lookup, search, relationship discovery, and semantic similarity calculations across multiple languages.

Allows users to search for academic conferences and events from WikiCFP by keywords, providing details such as event name, description, dates, location, and submission deadlines.

Confluence Cloud MCP (confluence)

全面解析Confluence Cloud MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Confluence Cloud MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

An MCP server that enables searching and retrieving content from Confluence documentation systems, providing capabilities for both document searches and full page content retrieval.

MCP server for Atlassian Confluence integration with Claude Code, enabling search, read, create, update pages, manage labels, and list spaces via natural language.

Enables AI models to interact with Confluence knowledge bases by searching, reading, and creating pages through the Confluence REST API. It provides a suite of tools for space management, document retrieval, and content creation, including a mock mode for local testing.

A server application that integrates with Atlassian Confluence API, providing custom endpoints for MCP functionality to interact with Confluence content.

Bridges Confluence Wiki with Large Language Models, allowing them to search, read, and explore content through automated HTML-to-Markdown conversion. It supports both local stdio and containerized HTTP/SSE transport modes for flexible deployment.

Enables reading and analyzing Confluence documentation content through the Confluence REST API. Supports extracting and converting text, tables, code blocks, and images from Confluence pages for Q\&A and analysis.

Enables page search and retrieval from Confluence using the Model Context Protocol. It allows users to search documents via CQL and fetch page content as text for use within Claude.