mcp-analytics-server
Provides tools for interacting with a SQLite e-commerce database, including read-only queries, table listing, schema description, top products, revenue summary, and auth-gated support ticket creation.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-analytics-serverShow me the top 5 products by units sold"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
π MCP Analytics Server: talk to your database through the Model Context Protocol
An MCP server that exposes a SQLite e-commerce database to any MCP client (Claude Desktop, Cursor, the Anthropic SDK, β¦) as safe, structured, schema-typed tools, plus a Claude agent that answers business questions by calling those tools. Built on the standard
mcpPython SDK (FastMCP). Includes a read-only SQL guard, an auth-gated mutation, and a schema resource.
MCP is the 2026 standard for connecting agents to tools and data, 10,000+ servers already published, native in ChatGPT, Claude, Cursor, Copilot, and VS Code. This repo is a clean, production-shaped example of the thing teams keep needing: a governed gateway between an LLM and a database, not raw SQL access, but typed tools with guards and authorization.
Architecture

Interactive/exportable version: docs/assets/architecture.html.
Related MCP server: agente-mcp-streamlit-ecommerce
What it exposes
Tool | Kind | Notes |
| read | tables in the database |
| read | columns, types, primary keys |
| read | read-only ad-hoc SELECT/WITH, single statement, mutation keywords blocked, row-capped |
| read | best-sellers by units (completed orders) |
| read | revenue + order/customer counts |
| write | auth-gated, requires the write API key |
| resource | the full SQL schema |
The split is the senior point: a bash/raw-SQL tool hands the model unbounded power; these
are dedicated, typed tools the host can validate, gate, and audit. run_query is
read-only and capped; the only mutation is behind an API key.
Two ways to drive it
PY=~/miniconda3/envs/personal/bin/python
$PY -m pip install -e ".[all]"
# 1) OFFLINE, exercise the live MCP protocol end-to-end, no API key, no LLM:
$PY -m mcp_analytics.client demo
# [mcp] connected, 6 tools: list_tables, describe_table, run_query, ...
# [mcp] revenue_summary -> {"revenue": 184293.5, "orders": 968, "customers": 188}
# [mcp] top_products(3) -> [{"name": "Product 7", "category": "Books", "units": 142}, ...]
# [mcp] blocked mutation -> tool error: only SELECT / WITH queries are allowed
# 2) AGENT, let Claude answer a question by calling the tools (needs a key):
export ANTHROPIC_API_KEY=sk-ant-...
$PY -m mcp_analytics.client ask "Which country has the most customers, and what's total revenue?"The server itself runs over stdio (python -m mcp_analytics.server), point Claude
Desktop / Cursor / any MCP client at that command and the tools appear.
Use it from Claude Desktop / Cursor
{
"mcpServers": {
"analytics": { "command": "python", "args": ["-m", "mcp_analytics.server"] }
}
}Architecture
MCP client (Claude Desktop Β· Cursor Β· Anthropic SDK Β· this client.py)
β JSON-RPC over stdio
βΌ
FastMCP server (server.py) ββtoolsβββΊ list_tables Β· describe_table Β· run_query
β top_products Β· revenue_summary
β create_support_ticket (auth-gated)
β ββresourceβββΊ schema://database
βΌ
db.py pure, testable query layer βββΊ SQLite e-commerce DB (customers Β· products
read-only guard Β· auth Β· seed orders Β· order_items Β· tickets)Tool logic lives in db.py (unit-tested without the protocol); server.py is the thin
FastMCP adapter. The Claude agent (client.py) converts the server's MCP tools to Anthropic
tools via anthropic.lib.tools.mcp and runs the tool loop.
Safety & governance
Read-only SQL guard,
run_queryaccepts only a singleSELECT/WITH, rejectsINSERT/UPDATE/DELETE/DROP/ALTER/ATTACH/PRAGMA/CREATE, blocks multi-statement injection, and caps rows. Executed on amode=roSQLite connection as defence-in-depth.Auth-gated mutation,
create_support_ticketrequires the write API key (MCP_WRITE_API_KEY); every other tool is read-only.Validated inputs, unknown tables/customers raise typed errors surfaced to the agent.
These guards are the security-critical surface and are covered by the test suite.
Repo layout
mcp-analytics-server/
βββ src/mcp_analytics/
β βββ db.py SQLite schema + seed + pure query layer (read-only guard, auth)
β βββ server.py FastMCP server: tools + schema resource (stdio)
β βββ client.py MCP client: offline protocol `demo` + Claude `ask` agent
β βββ config.py paths, write API key, model
βββ tests/ db + query-guard + auth tests (key-free) β 11 cases
βββ pyproject.toml Β· Dockerfile Β· Makefile Β· .github/workflows/ci.ymlRΓ©sumΓ© framing
Built an MCP (Model Context Protocol) server exposing a database as governed, schema-typed tools, read-only SQL guard, auth-gated mutations, and a schema resource, on the standard
mcpSDK; plus a Claude agent that answers business questions through it. Demonstrates the 2026 agent-integration standard end-to-end (stdio transport, tool conversion, tool loop).
License
MIT (LICENSE).
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