Copilot SQL MCP POC
Enables answering business questions over local SQL Server WideWorldImporters data through MCP, with support for both STDIO and Streamable HTTP endpoints.
README
Copilot SQL MCP POC
Proof of concept for answering business questions over local SQL Server WideWorldImporters data through MCP.
Current Milestone
Milestone 9: Copilot Studio integration documentation.
Status:
- [x] Legacy Cursor implementation preserved in
legacy/. - [x] Shared app package created.
- [x] STDIO entry point added as
server_stdio.py. - [x] Existing MCP tool names preserved.
- [x] Existing Cursor MCP App resource URI preserved.
- [x] Data dictionary copied from the legacy implementation.
- [x] Cursor renderer copied from the legacy implementation.
- [x] Unit tests added for SQL validation and result handling.
- [x] Shared
VisualResponsemodel added. - [x] Cursor visual results now pass through the neutral model.
- [x] Cursor renderer can normalize
visual_responsepayloads. - [x] SQL remains excluded from public visual response payloads.
- [x] Adaptive Card renderer added for KPI, bar, horizontal bar, line, pie, doughnut, table, and fallback outputs.
- [x] Copilot-facing output helper added with business result, Adaptive Card, and fallback text.
- [x] Streamable HTTP entry point added as
server_http.py. - [x]
/healthendpoint added. - [x] MCP HTTP endpoint defaults to
/mcp. - [x] Windows and SQL authentication modes configured through environment variables.
- [x] Query timeout, max rows, encryption, trust certificate, and approved schemas are configurable.
- [x] Cross-database, system object, unapproved schema, unqualified table, and
SELECT INTOqueries are rejected. - [x]
.env.exampleadded without secrets. - [x] Dockerfile added for the HTTP MCP server.
- [x]
.dockerignoreadded. - [x] Container build/run guide added.
- [x] Azure App Service / ACR deployment guide added.
- [x] Hybrid Connection and SQL Server Express preparation steps documented.
- [x] Copilot Studio MCP onboarding guide added.
- [x] Copilot Studio testing and publish steps documented.
- [ ] Manual Cursor acceptance questions verified against live SQL Server.
Local STDIO Server
Run the refactored Cursor-compatible MCP server with:
python server_stdio.py
Local Streamable HTTP Server
Run the local HTTP MCP server with:
python server_http.py
Defaults:
- host:
0.0.0.0 - port:
8000, orPORTif set - MCP endpoint:
/mcp, orMCP_HTTP_PATHif set - health endpoint:
/health
Example health URL:
http://localhost:8000/health
The original working implementation remains available at:
legacy/sqlserver_mcp_wwi_cursor_apps_business.py
Configuration
The refactored server keeps the legacy local defaults:
SQLSERVER_HOST, default050027346-3SQLSERVER_PORT, optionalSQLSERVER_DB, defaultWideWorldImportersSQLSERVER_AUTH_MODE,windowsorsqlSQLSERVER_USER, optionalSQLSERVER_PASS, optional legacy password variableSQLSERVER_PASSWORD, optional preferred password variableSQLSERVER_DRIVER, defaultODBC Driver 17 for SQL ServerSQLSERVER_ENCRYPT, defaultnoSQLSERVER_TRUST_CERT, defaultyesQUERY_TIMEOUT_SECONDS, default15MAX_QUERY_ROWS, default500SQLSERVER_APPROVED_SCHEMAS, defaultApplication,Sales,Purchasing,Warehouse
If no SQL user/password is provided, the connection uses Windows trusted authentication, matching the legacy Cursor setup.
Local state files default to the legacy/ directory for compatibility:
mcp_memory.txtmcp_pending_suggestions.txtmcp_queries.log
Override that directory with MCP_STATE_DIR if needed.
Tests
The current tests use the Python standard library and do not require a live SQL Server:
python -m unittest discover -s tests -p "test_*.py" -v
Manual Cursor and SQL Server acceptance checks are listed in
docs/acceptance_tests.md.
The shared visual contract is summarized in docs/visual_contract.md.
Adaptive Card rendering notes are in docs/adaptive_card_examples.md.
Local HTTP setup notes are in docs/local_http.md.
Database configuration notes are in docs/database_configuration.md.
Containerisation notes are in docs/containerization.md.
Azure deployment notes are in AZURE_DEPLOYMENT.md.
Copilot Studio integration notes are in COPILOT_STUDIO_INTEGRATION.md.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.