MicroStrategy (MSTR) BI Agent MCP Server

Phase 1 of the Enterprise AI Architecture at our highly regulated state bank: a secure Model Context Protocol (MCP) server that wraps the MicroStrategy REST API, enforcing native Row-Level Security (RLS) and object-level permissions using Pass-Through LDAP Authentication.

This server is designed to integrate as an HTTP/SSE tool within Onyx (formerly Danswer), allowing our local Qwen 27B LLM to execute reports and return data to authorized bank employees without using master API keys.

Architecture Overview

[Bank Employee]
      │
      ▼
[Onyx Web UI (SSO Authenticated)]
      │
      ▼ (HTTP /sse request with User LDAP credentials/Basic Auth)
[MSTR MCP Server (Docker Container)]
      │
      ├─► Dynamic Header Extraction
      ├─► Instantiates mstrio Connection (loginMode: 16 - LDAP)
      │
      ▼ (REST request with User Context)
[MicroStrategy Library API / IServer]

Related MCP server: sql-explorer-mcp

Deliverables & Project Structure

• src/server.py: Custom FastMCP server code with dynamic header parsing, pandas parsing, and rotating compliance logs.

• requirements.txt: Python package requirements (fastmcp, mstrio-py, pandas, tabulate, requests, urllib3).

• Dockerfile: Secure, non-root, lightweight slim-python container definition.

• onyx_system_prompt.txt: Strict system instructions for Qwen 27B (forbids hallucinations, outlines tool calling pipeline).

Configuration Variables

The server is configured using the following environment variables:

Quick Start & Deployment

1. Build the Container

Run this command from the root of this project:

# Standard Build
docker build -t mstr-mcp-server:latest .

# Proxy-aware Build (Required for internal bank deployments)
docker build \
  --build-arg http_proxy="http://proxy.internal-bank.com:8080" \
  --build-arg https_proxy="http://proxy.internal-bank.com:8080" \
  -t mstr-mcp-server:latest .

2. Run the Container

Launch the container, mounting the log folder to your host's secure audit path:

docker run -d \
  --name mstr-mcp-agent \
  -p 8000:8000 \
  -e MSTR_BASE_URL="https://mstr-library.internal-bank.com/MicroStrategyLibrary/api" \
  -e MSTR_SSL_VERIFY="True" \
  -v /var/log/mcp-audit:/app/logs \
  mstr-mcp-server:latest

3. Register in Onyx Admin UI

• Go to Onyx Admin UI -> Tools -> Add Custom Tool.

• Select HTTP/SSE.

• Enter the SSE Endpoint URL: http://<mstr-mcp-agent-ip>:8000/sse

• Ensure Onyx is configured to pass the user's LDAP credentials (Basic Authentication header or custom X-LDAP-* headers) down to the tool during invocation.

Exposed MCP Tools

The server registers three tools with FastMCP:

1. list_mstr_projects

   • Description: Retrieves all MicroStrategy projects the authenticated user's LDAP account is authorized to view.

   • Arguments: None.

2. list_mstr_reports

   • Description: Lists all Reports, OLAP Cubes, and Super Cubes in the specified project.

   • Arguments:

     • project_id (optional, string): MicroStrategy project ID. If omitted, uses the default MSTR_PROJECT_ID env.

3. execute_mstr_report

   • Description: Runs a report or cube and returns the dataset as a clean Markdown table.

   • Arguments:

     • report_id (required, string): ID of the report/cube.

     • project_id (optional, string): MicroStrategy project ID.

     • limit (optional, integer): Maximum number of rows to return (default is 100 to prevent context window bloat).

Auditing and Compliance

All actions are logged to the file specified in COMPLIANCE_LOG_PATH in a standardized, SIEM-parseable format.

• Username Masking: The username is always masked (e.g., jdo***) to prevent leaking PII.

• Credential Protection: Passwords are never written to any log file.

• Data Protection: Raw dataset records/cells are never written to the audit log.

Log Example:

[2026-07-14 16:20:05] [INFO] [COMPLIANCE] User: jdo*** | Tool: execute_mstr_report | ProjectID: B129A8... | TargetID: R98721... | Status: SUCCESS | Details: Returned 45 rows

Development & Testing

For local verification on Python 3.10+, install dependencies:

pip install -r requirements.txt

To run the server in STDIO mode for testing (using local environment fallbacks):

export MSTR_USERNAME="test_ldap_user"
export MSTR_PASSWORD="test_ldap_password"
export MSTR_BASE_URL="https://mstr-library.internal-bank.com/MicroStrategyLibrary/api"
export MSTR_PROJECT_ID="YOUR_PROJECT_ID"
export MSTR_SSL_VERIFY="False" # For local testing

python src/server.py --transport stdio