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Enables document search and retrieval using TF-IDF vector similarity across HTML and PDF files. Provides ingest, query, and vector store management capabilities through both HTTP API and MCP stdio interfaces.

Enables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.

Headless web analytics for AI agents. A broad range MCP tools for traffic, events, funnels, conversions, sources, and performance. No dashboard — agents query structured JSON directly.

Enables querying and managing Logflare log sources, endpoints, and executing ad-hoc SQL via MCP.

An MCP server for intelligent logo extraction and processing, supporting automatic recognition and extraction of logo icons from website URLs, and providing image processing and vector conversion functions.

Persistent local memory for Claude Code that indexes every session's JSONL file verbatim into SQLite + ChromaDB. Exposes 17 MCP tools for semantic recall, deterministic file replay, and fuzzy "do you remember when..." queries across your entire session history — no API calls, nothing leaves the machine.

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

Enables users to search and discover upcoming tech events, conferences, and meetups from Luma (lu.ma) through natural language queries. Built on Cloudflare Workers for fast, global access to tech event data.

Luma F618a182

全面解析Luma Ai MCP ServerMCP 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，Luma Ai MCP Server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 conversational access to Lumar SEO crawl data via its GraphQL API. It allows users to query projects, inspect crawl metrics, pull URL-level SEO data, and generate reports using natural language.

Provides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.

Enables AI assistants to browse, search, and manage a Lutris Linux gaming library. It provides tools for modifying game details, organizing categories, and accessing collection statistics directly from the Lutris SQLite database.

An MCP server that enables querying and managing Calibre libraries via chat by interacting with the Calibre content server over HTTP. It allows users to search for books, update metadata, manage authors and tags, and handle book file uploads or conversions.

A comprehensive Python MCP server with built-in knowledge base (SQLite + FTS5), web management interface, and flexible tool grouping system. Supports multiple transport protocols (stdio, SSE, HTTP Stream) with zero external dependencies.

A production-ready MCP server for macOS that provides async, cache-backed access and background queued writes to Apple Notes. It enables seamless integration for reading, creating, and managing notes through standard tools like ScriptingBridge while supporting background service execution.

Provides offline, high-accuracy OCR capabilities for images and PDFs using macOS's built-in Vision framework. Supports multi-language text extraction with intelligent block aggregation for tables and paragraphs, outputting structured JSON data suitable for document reconstruction.

Provides comprehensive food hierarchy and nutrition data through structured tools that enable searching foods, browsing categories, and retrieving detailed nutritional information from a MongoDB Atlas database.

Enables direct interaction with a SQLite database through custom-mapped tools for creating and retrieving items. It provides structured, AI-optimized responses and manual control over database operations without requiring external API dependencies.

Enables interaction with MariaDB databases through secure read-only operations. Supports database exploration, schema inspection, and SQL query execution with comprehensive logging and connection pooling.

Converts Markdown documents to PDF files with support for syntax highlighting, custom styling, Mermaid diagrams, optional page numbers, and configurable watermarks.