"Internet Computer" matching MCP servers:

A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.

Search your data exports from Google, Telegram, Spotify, and Instagram in one place. Everything runs on your own computer. Hybrid search and MCP, built in .NET 10

Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md

Enables natural language interaction with a personal knowledge base stored locally on your computer, supporting semantic search, note reading, and writing through Claude Code or mobile apps.

A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.

Enables computer-use agents to discover, search, read procedural skills, and locally record experiences, outcomes, and candidate lessons via MCP tools.

Visual memory for computer-use agents — stores UI screenshots as semantic scene nodes and queries them by intent across sessions.

UI interaction verifier for computer-use agents — tracks which UI elements exist and their expected behavior to catch ghost actions.

A memory server that manages a knowledge graph with entities and relations, supports internet search via DuckDuckGo, and stores dialogue history, enabling persistent memory and web interaction for AI assistants.

Enables completely offline Wikipedia search through locally-indexed content using BM25 algorithm, allowing AI assistants to query Wikipedia without internet connectivity or external API calls.

Enables structured knowledge and relationship modeling through a persistent network graph, with tools for linking structures, running six-dimensional comparisons, writing confidence scores, and learning from GitHub or computer-science fundamentals via natural-language MCP interactions.

Provides seamless integration with Capacities knowledge management system, allowing Claude to list spaces, retrieve space information, search content, save weblinks, and add content to daily notes.

Turns your Obsidian vault into an AI memory palace, enabling AI assistants to store knowledge with intent-based organization, retrieve information through full-text search, auto-link related notes, and query using Dataview syntax while maintaining provenance tracking.