Official DataLens (Yandex) skills for Claude Code, Codex and OpenCode: SDK, HTML reports and RLS resolution
DataLens: skills, MCP and CLI
There is an official tool from DataLens itself called DataLens Skills, which you should install first for working with Claude Code, Codex, and OpenCode agents. Besides that, there is the official DataLens MCP server that supports Claude Desktop, Cursor, and other agents, providing a gateway to the public API. Community MCP servers exist too, offering various features like dashboard development, API method wrappers, and open-source integration, compatible with agents such as SourceCraft, Koda, and Coddy.
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Official
These tools come from the service vendor itself.
DataLens official MCP server
datalens-mcp
The official DataLens MCP server from the development team: turns the public DataLens API into three gateway tools instead of hundreds of separate MCP tools
MCP servers
MCP server for the Yandex DataLens public API: 70 tools for dashboards, charts, datasets and connections
DataLens Dev MCP
datalens-dev-mcp
Local MCP server and Codex plugin for Yandex DataLens dashboard development: read, author, publish, back up and clean up objects
Yandex DataLens public API MCP server
datalens-mcp
A Rust MCP server for the Yandex DataLens public API: 60 methods via a full catalog, typed wrappers for common operations and IAM auth
Self-hosted DataLens OSS MCP server
DataLens OSS API и MCP
A translator from the cloud DataLens API to internal open-source DataLens 2.9.0 calls, plus a Streamable HTTP MCP server on top
Frequently asked questions
Is there an official MCP for DataLens?
Yes, the official DataLens MCP server is provided by the DataLens development team and supports multiple agents including Claude Desktop and Cursor.
How to connect DataLens to Claude Code or Cursor?
Use the official DataLens Skills for Claude Code or the official DataLens MCP server for Cursor. Community MCP servers like datalens-mcp and Yandex DataLens public API MCP server also support these agents.
Which MCP for DataLens should I choose?
For general use, the official DataLens MCP server is recommended. For dashboard development, DataLens Dev MCP offers advanced features but has a higher risk level. Other options like datalens-mcp provide many tools with medium risk.
Is it safe to give an AI agent access to DataLens?
Most tools have a medium risk level, except DataLens Dev MCP which has a high risk. All official and community tools work without VPN.