"A search for Yandex, the Russian multinational technology company" matching MCP servers:

Secure, local-first collaboration layer for AI agent teams, enabling authenticated agent-to-agent communication, shared memory with provenance, and scoped service execution through MCP.

Enables evidence-first company due diligence by resolving company identities, collecting verifiable facts with source URLs, timestamps, and payload hashes, flagging unverifiable dimensions, and generating auditable risk reports through MCP tools.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables AI agents to manage Yandex Direct advertising accounts via the API v5, including reports, bids, campaign management, and semantic analysis through natural language requests.

MCP server for Yandex Eda (food delivery) that allows checking authorization, setting delivery address, searching restaurants, viewing menus, managing cart, and placing orders with safety features.

Enables LLM clients to investigate Brazilian companies by CNPJ or name, mapping corporate relationships and gathering structured, source-attributed public evidence from official registries, news, social profiles, judicial proceedings, and PEP checks.

Integrates with Yandex Direct API v5 to manage ads via 20 tools, with dry-run protection preventing accidental spending.

MCP server for Yandex Messenger that enables reading chats, searching, downloading attachments, and sending messages via agent, using a web session with Playwright and a reverse-engineered protocol.

MCP server for LinkedIn Company Page administration. Enables reading analytics, managing posts, editing page details, growing followers, and bridging personal profile for employee advocacy workflows.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

Enables managing a Yandex Business branch network through an XML feed from any MCP client. Agents can edit branch data in YAML, import/export, validate, diff, and build the feed locally, while publishing to Yandex remains manual.

Enables comprehensive control and automation of Yandex Browser, including tab management, content extraction, and console log monitoring. It supports element interaction, form filling, and JavaScript execution through the Model Context Protocol.

Connects Claude and other MCP clients to a user's Yandex Music account so they can search the catalog, read liked tracks, listening history, My Wave and playlists, create and edit playlists, like or unlike tracks, and export the library to .txt or .csv. It runs locally over stdio with the token kept on the user's machine, and it does not download audio.

Unifies multiple Yandex MCP servers (Direct, Metrika, Webmaster, Tracker, Cloud, Maps, Search) into a single interface with auto-configuration and auth wizard.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Unofficial local MCP plugin for interacting with Yandex Calendar from Codex. Enables calendar listing, event CRUD, and Telemost meeting creation via CalDAV.

An MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

An MCP server that turns Yandex Music into tools an AI agent can call directly — search, queue, play, build playlists — with no browser involved.