DataLens MCP connector

MCP server for Claude that exposes Yandex DataLens Public API operations as tools. It follows the FastMCP + Streamable HTTP deployment pattern: endpoint /mcp, tool annotations, TCP healthcheck, and nginx buffering disabled for streaming responses.

What it can do

• Check DataLens Public API connectivity with getWorkbooksList.

• Call any DataLens RPC method through datalens_rpc.

• List entries, workbook entries, collection content, and workbooks.

• Create workbooks.

• Get, create, update, and delete dashboards.

• Build a dashboard entry payload skeleton that matches the official createDashboard envelope.

The connector intentionally keeps DataLens payloads transparent. DataLens dashboard/chart item schemas are partly documented as unknown, so Claude can generate or adjust native JSON payloads while the MCP server handles authentication, HTTP calls, validation, and deployment transport.

Related MCP server: Metabase MCP

Setup

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -e ".[dev]"
Copy-Item .env.example .env

Edit .env:

DATALENS_TOKEN=your_iam_token
DATALENS_ORG_ID=your_org_id
DATALENS_API_BASE=https://api.datalens.tech
DATALENS_API_VERSION=1
DATALENS_AUTH_SCHEME=Bearer

Run locally:

datalens-mcp

The MCP endpoint is:

http://localhost:8000/mcp

Claude

For a remote connector, deploy it behind HTTPS and add this URL in Claude:

https://your-domain.example/mcp

In Claude: Settings -> Connectors -> Add custom connector.

Docker

docker compose up -d --build

The compose file binds the container to 127.0.0.1:8096, so expose it through nginx with TLS. See nginx.example.conf.

MCP tools

• datalens_healthcheck

• datalens_rpc

• datalens_raw_request

• datalens_get_entries

• datalens_get_workbook_entries

• datalens_get_entries_relations

• datalens_get_collection_content

• datalens_get_workbooks_list

• datalens_get_workbook

• datalens_create_workbook

• datalens_get_dashboard

• datalens_build_dashboard_spec

• datalens_create_dashboard

• datalens_update_dashboard

• datalens_delete_dashboard

Notes

The implementation follows the official DataLens Public API docs: POST https://api.datalens.tech/rpc/<method>, x-dl-api-version: 1, x-dl-org-id: <ORG_ID>, and Authorization: Bearer <IAM_TOKEN>. If DataLens adds a method that is not wrapped yet, call it through datalens_rpc.