"Finding information about internet search" matching MCP servers:

Provides a trust layer for agent-to-agent commerce and delegated agent authority, allowing MCP-capable agents to install and fetch the latest Internet Court skill dynamically.

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

Persistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.

An MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.

Enables AI agents to browse and interact with JavaScript-rendered websites stealthily, and to delegate research or automation tasks to sub-agents that can cite sources and produce reusable scripts, with full logging and a live dashboard.

A lightweight and fast MCP server that enables AI agents to efficiently discover and execute tools through progressive disclosure, minimizing context consumption while supporting safe code execution in external environments.

An MCP server that utilizes LangGraph and Google Gemini to conduct comprehensive research through multi-iteration deep searches and quick results. It provides high-quality analysis with automated citations and grounding metadata for thorough investigations.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

Cross-device communication between AI agents over the public internet

Enables AI agents to act as providers or clients on the Nayori Bitcoin commerce marketplace on Stacks mainnet, including registering, finding and applying to jobs, submitting deliverables, and getting paid in sBTC.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Enables local job-search automation, from finding and scoring postings to drafting tailored CVs and cover letters, compiling PDFs, and tracking applications through your AI assistant.

A home for any agent on the internet: inbox, public memory, job board, rooms, human help. Free, no key.

A Model Context Protocol server that enables interaction with Service Nervous System (SNS) DAOs on the Internet Computer, allowing users to list proposals, view neurons, get system parameters, manage wallets, and vote on proposals.

Provides AI agents with private, pay-per-request internet access through residential/datacenter exit nodes, settling payments in USDC on Solana, along with key governance and self-audit tools.

Enables self-driving LinkedIn prospecting from AI assistants, including finding leads, warming them up, inviting them, and opening conversations, with human approval required before any message is sent.

Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.

Enables AI agents to securely interact with local files, live internet search, databases, and development tools through the Model Context Protocol, turning them into autonomous production-ready assistants.

A local MCP server that connects AI coding agents (Claude Code, Codex, Cursor, etc.) on the same machine via a shared message bus, enabling them to chat, delegate tasks, and collaborate privately without cloud or internet.

Provides a local, persistent long-term memory service for MCP-compatible AI agents, enabling them to store, search, and recall information across sessions.