mcp-server
Provides read-only operational tools (sales summaries, orders, top customers) over a multi-tenant dataset, with tenant isolation enforced server-side so no tenant parameter appears in the tool schema.
README
mcp-server — tenant-safe, read-only
A Model Context Protocol server exposing operational tools over a multi-tenant dataset to any MCP client, with the tenant bound server-side and never present in the published tool schema.
The argument
An MCP server publishes its tool schema to whatever client connects — Claude Desktop, an IDE, a third-party agent. That makes the schema a trust boundary, and it changes the calculus compared to an agent you own end to end.
If a tool took a company parameter, tenant selection would be delegated to a
model on the other side of the connection: one you did not write, cannot audit,
and whose version can change without telling you. No prompt on your side
constrains it, because the prompt lives over there.
So the tenant is not a parameter. It is read once, at process start, from the server's own configuration:
TENANT = resolve_tenant() # from MCP_TENANT_ID; fails hard if unset
Cross-tenant access is not "unlikely" or "blocked by instructions" — there is no argument in which to express it. That is the entire design, and everything below exists to prove it holds rather than assert it.
This matches how MCP is actually deployed: one server process per user, launched by the client with its own configuration. Identity belongs to that config, not to the conversation.
Verified, not asserted
MCP_TENANT_ID=acme python scripts/check_isolation.py # 5 properties
python scripts/check_e2e.py # real stdio handshake
check_isolation.py asserts, against the running server:
| # | Property |
|---|---|
| 1 | No published tool exposes a tenant-like parameter (company, tenant_id, merchant, …) |
| 2 | Every tool is annotated read_only_hint |
| 3 | Executing every published tool leaks no other tenant's canary |
| 4 | Injecting company=<other> into a call returns nothing belonging to that tenant |
| 5 | Without MCP_TENANT_ID the server fails to start instead of defaulting |
Check 3 enumerates whatever the server publishes and builds arguments from each schema, rather than calling a hardcoded list. A hardcoded list would silently skip exactly the tool someone adds later — which is the case worth catching.
check_e2e.py starts the server as a subprocess and drives it through
initialize → list_tools → call_tool over stdio: proof it speaks the protocol,
not just that the Python objects behave.
The checks are themselves checked
MCP_UNSAFE_MODE=1 publishes a deliberately broken tool that accepts company
and honours it. The isolation check must go red under it:
MCP_TENANT_ID=acme MCP_UNSAFE_MODE=1 python scripts/check_isolation.py
# FAIL no tool exposes a tenant parameter -> list_orders_unsafe.company
# FAIL no output contains another tenant's canary -> leaked: ['globex']
A guard that has never gone red has not been shown to detect anything. Shipping the broken variant is what makes the green run mean something.
Run it
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
MCP_TENANT_ID=acme python -m server.main # stdio
In an MCP client (Claude Desktop and similar), register one process per tenant:
{
"mcpServers": {
"acme-ops": {
"command": "/path/to/.venv/bin/python",
"args": ["-m", "server.main"],
"cwd": "/path/to/mcp-server",
"env": { "MCP_TENANT_ID": "acme" }
}
}
}
Tools
All read-only. None takes a tenant argument.
| Tool | Returns |
|---|---|
sales_summary(start_date, end_date) |
Order count and total for a date range |
list_orders(status) |
Orders with status paid / pending / refunded |
top_customers() |
Customers ranked by total spend |
Structure
mcp-server/
├── server/
│ ├── tenant.py # the only place a tenant is decided
│ ├── data.py # synthetic multi-tenant dataset with per-tenant canaries
│ └── main.py # MCP server; tools + the gated unsafe variant
├── scripts/
│ ├── check_isolation.py # the 5 properties above
│ └── check_e2e.py # stdio protocol handshake
The dataset is fictional so the repo is clonable and runnable as-is.
Scope
This is a portfolio implementation of one pattern, not a product. See
SECURITY.md for what it does and does not cover — notably that
MCP_TENANT_ID stands in for a verified token, which is what a real deployment
would use.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.