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Enables searching Reddit posts, fetching subreddit content, and retrieving post comments without requiring an API key. It uses public JSON endpoints to provide seamless access to Reddit data for LLM-based applications.

A stateless MCP server for Redmine that allows users to interact with issues, time entries, wiki, projects, and more via their own API keys.

A Model Context Protocol (MCP) server that enables AI assistants to search, retrieve, and analyze content from Xiaohongshu (Little Red Book), providing access to notes, user information, and trending topics.

Enables AI assistants to browse and read documents from a reMarkable tablet connected via USB, rendering PDF pages as images for the AI to see.

Enables interaction with Rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like Slack, Gmail, and Google Drive. It supports semantic search and agentic queries to access and manage personal or team internal knowledge.

Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.

Enables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.

Enables semantic search and retrieval of personal and team knowledge from connected sources like Slack, Gmail, Google Drive, and Dropbox, with the ability to save new information for future recall.

Enables semantic search and retrieval from your local markdown brain (Remember.md) via MCP tools, running entirely offline with local embeddings.

Persistent knowledge memory layer for AI agents. Hybrid semantic + full-text search with pgvector, code dependency graph with blast-radius impact analysis, and incremental indexing for 7 languages. In-process ONNX embeddings, no external API required.

Enables AI assistants to search and retrieve information from the REMnux malware analysis toolkit documentation, allowing users to ask questions about reverse-engineering tools and get accurate, up-to-date answers from the live documentation.

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A generic MCP server that exposes local repository checkouts, allowing users to search and read code and documentation through natural language. It supports multiple instances, enabling seamless interaction with various codebases via configurable tool prefixes and URI schemes.

Enables users to search and retrieve package repository information from Repology through natural language. Supports searching projects, getting detailed package information, and checking repository problems across multiple Linux distributions and package managers.

Research B2B prospects, get the recommended sales angle, and prep for meetings — all from your AI agent. 7-day brief cache, OAuth or API key auth, shared quota with the RepScale web app.

A multi-model research agent platform supporting Claude, Gemini, and OpenAI models with web search capabilities, thinking-enabled features, and citation support for advanced research workflows.

Automates research workflows by collecting, summarizing, and categorizing AI technology documents directly into Notion. It uses OpenAI GPT for Vietnamese summarization and automatic tagging of topics like RAG, LangGraph, and MCP.

Researcher MCP (researcher-mcp-a8b950d3)

A Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI

Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.

MCP server for publishing markdown AI research entries to a Convex database. Supports both development and production environments with secure deployment credentials.