About sisense-mcp-server
sisense-mcp-server is a deprecated MCP server codebase for connecting LLMs to Sisense analytics. It provides data-source and field lookup, chart building from natural-language prompts, and an optional analytics query tool.
Key features
- 01Retrieve Sisense data sources
- 02List data-model fields
- 03Build charts from natural-language prompts
- 04Optional analytics query tool
- 05Interactive chart views
Use cases
- 01Inspect Sisense data sources and fields
- 02Create charts from a description
- 03Run analytics queries when enabled
MCP support
It exposes data-source, field, and chart tools to MCP clients over Streamable HTTP, with analytics queries available optionally. The repository is deprecated; the README says a hosted endpoint is available in Sisense 2026.3.1.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @sisense/mcp-serverSISENSE_URLURL of the Sisense instanceSISENSE_TOKENSecretBearer token for the Sisense instanceLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMESisense MCP Server
Warning
Deprecated. This repository is no longer maintained and will be archived. The Sisense MCP Server is now a hosted endpoint with OAuth 2.1, available in Sisense 2026.3.1. See the Sisense MCP Server documentation to set it up. This repository will not receive further features or fixes.
A Model Context Protocol (MCP) server that provides integration with Sisense analytics platform. This server enables LLMs to interact with Sisense data models and create charts programmatically.
Features
- Transport: Streamable HTTP (
streamable-http) for HTTP-based MCP clients (for example Claude Desktop, Cursor) - MCP tools (three by default; optional fourth when enabled):
getDataSources: Retrieve Sisense data sources (or data models)getDataSourceFields: List all available fields for a specific data sourcebuildChart: Build charts from natural language promptsbuildQuery(optional): Run analytics queries whenTOOL_BUILD_QUERY_ENABLED/toolBuildQueryEnabledis enabled
- MCP Apps: When used in MCP Apps–capable clients (for example Claude),
buildChartexposes an interactive View that renders the chart in an iframe within the app. - Per-session authentication: Sisense credentials via URL parameters and/or server environment variables
- TypeScript: Full type safety and modern ESM support
- Lightweight: Pure Node.js HTTP server, no heavy frameworks
- Fast: Optimized for Bun runtime, also runs on Node.js
Documentation
- Quick start — clone,
.env, run, MCP client setup - Configuration — credentials, tunneling, feature flags, URL examples
- FAQ — common questions and troubleshooting
- Usage examples — prompts and workflows
Prerequisites
- Node.js >= 18.0.0 (required for local development and
npm) - Bun for running project scripts (
dev,build,start, tests): thebunpackage is a devDependency, so afternpm installorbun installthe Bun binary is available undernode_modules/.bin—a global Bun install is not required. A global Bun install is optional. - Sisense instance with API access
- Sisense API token
- Cloud-Linked Features enabled on your Sisense instance (and an LLM provider configured if using Bring Your Own Key (BYOK)). Required for natural-language tools such as
buildChartandbuildQuery. See Generative AI (Cloud-Linked Features). This is separate from your MCP client's LLM (e.g. Claude in Cursor). - Playwright Chromium (installed automatically by
bun install/npm installviapostinstall)
Installation
bun install
# or
npm install
Usage
Start the server:
# Development mode (hot reload)
bun run dev
# or
npm run dev
# Production mode
bun run build && bun run start
# or
npm run build && npm run start
Sessions are in-memory — chart state is lost if the server restarts.
The server prints something like the following (port defaults to 3001, or PORT if set):
Sisense MCP Server running on http://localhost:3001
Connect with:
http://localhost:3001/mcp?sisenseUrl=<SISENSE_URL>&sisenseToken=<SISENSE_TOKEN>
Or set SISENSE_URL and SISENSE_TOKEN in the environment and use http://localhost:3001/mcp
Optional feature-flag query params (override env vars per connection):
mcpAppEnabled=true|false, toolBuildQueryEnabled=true|false, toolBuildChartNarrativeEnabled=true|false
Endpoints:
Health: http://localhost:3001/health
Screenshots: http://localhost:3001/screenshots/
Connecting your MCP client
Use an MCP streamable HTTP URL. For Cursor, Claude Desktop, and similar clients, add a server entry with the MCP path (not a shell command such as bun run dev or npm run dev).
If SISENSE_URL and SISENSE_TOKEN are set in the server environment (for example in .env loaded by the process that runs bun run dev or npm run dev), the client URL does not need to include credentials:
{
"mcpServers": {
"sisense-analytics": {
"url": "http://localhost:3001/mcp"
}
}
}
Note: Depending on your network or client environment, the localhost HTTP setup may not connect. In those cases, you will need to expose your local server publicly via HTTPS using a proxy service such as ngrok. Point the client at your HTTPS tunnel URL with the same /mcp path (and query parameters if you are not using server env credentials).
Credentials: If you do not use server env vars, put sisenseUrl and sisenseToken on the MCP URL as query parameters (URL params take precedence over env when both are present). Always percent-encode each value — see Configuration: URL encoding for details and examples.
Alternative connection patterns (placeholders only; use encoded values for real credentials):
http://localhost:3001/mcp?sisenseUrl=https://your-instance.sisense.com&sisenseToken=your-api-token
With SISENSE_URL and SISENSE_TOKEN in the server environment only:
http://localhost:3001/mcp
Behind a public HTTPS tunnel (example):
https://your-ngrok-url.ngrok-free.app/mcp?sisenseUrl=https://your-instance.sisense.com&sisenseToken=your-api-token
Claude (claude.ai and Desktop): Sisense CORS for interactive charts
In MCP App mode (the default), Anthropic Claude renders charts inside the MCP content UI—on claude.ai or Claude Desktop. The browser loads your Sisense instance from origins under *.claudemcpcontent.com, so Sisense must allow those origins or the widget fails with a network or CORS error.
In your Sisense instance, go to Admin → Security Settings → CORS Allowed Origins and add:
https://*.claudemcpcontent.com
Use this subdomain wildcard form. A single origin such as https://claudemcpcontent.com (no *.) may not match the actual frame origins and charts can still fail to load.
More context: FAQ: Claude MCP App charts and CORS.
Configuration
| Parameter | Description |
|---|---|
sisenseUrl | Full URL to your Sisense instance (e.g., https://instance.sisense.com). In the query string, pass the value percent-encoded. |
sisenseToken | Sisense API authentication token. In the query string, pass the value percent-encoded (required if the token contains &, =, +, etc.). |
PORT | (Optional) Server port, defaults to 3001 |
The server automatically derives its public base URL from request headers, so it works correctly behind proxies like ngrok. For how to build encoded MCP URLs, see URL encoding for query parameters.
Optional feature-flag query parameters
Defaults suit most setups; change flags when you need a specific client behavior. For when to use each flag, copy-paste URL patterns, and env vs query string, see docs/guides/configuration.md.
These query params override the corresponding env vars on a per-connection basis. Accepted values: true, false, 1, 0 (case-insensitive).
| Query parameter | Env var equivalent | Default | Description |
|---|---|---|---|
mcpAppEnabled | MCP_APP_ENABLED | true | Renders the chart in an interactive app UI (supported in Claude); set to false for tool mode (image/screenshot output) |
toolBuildQueryEnabled | TOOL_BUILD_QUERY_ENABLED | false | Enable the buildQuery tool for executing analytics queries |
toolBuildChartNarrativeEnabled | TOOL_BUILD_CHART_NARRATIVE_ENABLED | true | Include NLG narrative/insights in the build chart tool response |
Example URL with all three overrides (encode sisenseUrl and sisenseToken values when they are not simple alphanumeric placeholders):
http://localhost:3001/mcp?sisenseUrl=https://your-instance.sisense.com&sisenseToken=your-api-token&mcpAppEnabled=false&toolBuildQueryEnabled=true&toolBuildChartNarrativeEnabled=false
Development
# Run server in development mode with hot reload
bun run dev
# or npm run dev
# Build the project (View + server)
bun run build
# or npm run build
# Build only the analytics View (dist/view.html)
bun run build:view
# or npm run build:view
# Run tests
bun test
# or npm test (same as npm run test)
# Type checking
bun run type-check
# or npm run type-check
# Lint
bun run lint
# or npm run lint
Security Considerations
⚠️ NEVER commit credentials to version control
⚠️ Use secret managers or vaults - NOT environment variables in production
⚠️ NEVER bind to 0.0.0.0 in production - use 127.0.0.1 or Unix socket
⚠️ Recommended: Use dev or staging Sisense when you have them. Autonomous AI clients can issue many API calls, and prompts can be ambiguous. Non-production reduces the impact of mistakes and surprises.
⚠️ Enable authentication - never run without auth
⚠️ Approve EVERY tool call - review all parameters before execution
⚠️ Create dedicated Sisense service account with minimum required permissions
⚠️ Rotate credentials regularly (every 90 days recommended)
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.