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k11 API Functional QA

k11 API Functional QA

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About k11 API Functional QA

k11 API Functional QA is an MCP server for teams testing REST API behavior through multi-step flows and database checks. It derives negative tests from API specifications and records evidence for CI, with safeguards for environments, databases, and secrets.

Key features

  1. 01Turns user stories into multi-step API flows
  2. 02Checks database rows alongside API responses
  3. 03Generates negative and boundary tests from specs
  4. 04Produces Markdown, JSON, and JUnit evidence
  5. 05Exports flows as pytest and httpx code

Use cases

  1. 01Verifying an order flow from creation through cancellation
  2. 02Checking that API calls update database rows correctly
  3. 03Finding 5xx responses to malformed or boundary inputs
  4. 04Publishing test evidence to CI dashboards

MCP support

Exposes flow drafting, execution, negative-test generation, API calls, read-only database queries, and pytest export to MCP clients. It can be used with Claude Code, Claude Desktop, and other MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"k11-software-solutions-api-functional-qa": {
"command": "uvx",
"args": [
"k11-api-functional-qa-mcp"
],
"env": {
"QA_MCP_ROOT": "<QA_MCP_ROOT>"
}
}
}
}
Run commanduvx k11-api-functional-qa-mcp
Environment variables to set
QA_MCP_ROOTFolder with tests/api/ and .qa-mcp/api-test.yaml

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypik11-api-functional-qa-mcp0.1.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

k11 API Functional QA — MCP server & Claude Code plugin

Functional API tests that prove the API did the right thing, down to the database row.

Contract checks tell you an API still has the right shape. They don't tell you whether placing an order charges the right amount, whether cancelling really soft-deletes the row, or whether a malformed request crashes the server. This MCP server lets Claude (or any MCP client) write and run those tests with you:

  • User story → multi-step test flow. Chain calls (POST /orders → save the id → GET /orders/{id} → DELETE) with readable YAML and value checks.
  • Database checks in the same flow. After the API call, check the row really changed: SELECT status, deleted_at FROM orders WHERE id = :orderId. Read-only by default, with masked columns.
  • Negative and boundary tests from the spec, including nested fields and array items: missing required fields, wrong types, values outside enums and min/max/length limits, no credentials, unknown IDs. Every case must get a 4xx, never a 5xx.
  • Evidence for every step: the request, response, query, rows and each check, in Markdown (PR comment), JSON and JUnit XML for CI dashboards.
  • Guardrails: data-changing calls are refused on production-like environments, database writes only in fixtures and cleanup on allowlisted test databases, secrets only from environment variables and masked everywhere, and requests never leave the environment's host.
  • No lock-in: export any flow as plain pytest + httpx code.

Built on the parsers of k11 API Contract QA (OpenAPI 3.x and Swagger 2.0 for test generation and response-schema checks).


See it find real bugs

The demo shop API (demo/shop/) has two planted bugs. Two hand-written flows and one generated negative suite found them, plus one I didn't plant.

1. The order total is wrong only in the API response. order_total.yaml orders two bags at 42.50:

❌ Order total is quantity times price

  • place an order for two bags: failed. Response: HTTP 201. ✗ $.total 85.0: expected 85.0, got 42.5
  • the database stores 85.00: passed
  • order history shows 85.00: passed

The database check shows exactly where the bug is: the stored total is right, and only the POST /orders response is wrong.

2. Malformed input crashes the server. generate_negative_tests("POST /orders") produced 18 cases from the spec. 16 behaved correctly, and two returned HTTP 500:

  • ✗ wrong type for items[0].qty is rejected: got 500. A 5xx is a bug.
  • ✗ missing required field items[0].qty is rejected: got 500. A 5xx is a bug.

The second crash wasn't planted. It's the same code path, and the generator found it because it tests nested array items, not just top-level fields.

3. The soft delete works, proven in the database. cancel_order.yaml passes all 7 steps, including checks that the row is kept with status = cancelled and a deleted_at timestamp.

A flow

name: Customer cancels an order and it is soft-deleted
fixtures: [customer]                       # seeded in the test database, removed afterwards
steps:
  - name: place an order
    call: POST /orders
    body: { customerId: "${fixture.customer.id}", channel: web, items: [{ sku: HAT-2, qty: 1 }] }
    expect:
      status: 201
      json: { "$.status": pending, "$.total": 15.0, "$.items": { length: 1 } }
    save: { orderId: "$.id" }

  - name: the row is kept and marked deleted
    db: SELECT status, deleted_at FROM orders WHERE id = :orderId
    params: { orderId: "${orderId}" }
    expect: { rows: 1, row: { status: cancelled, deleted_at: { ne: null } } }

cleanup:
  - db: DELETE FROM orders WHERE id = :orderId
    params: { orderId: "${orderId}" }
  • Checks (expect): status (201, "2xx", [400, 422]), json paths ($.items[0].qty, $.items[*].sku, $.items.length), headers, body_contains, max_ms, and the response schema from the spec (on by default). Values compare as literals or with operators: eq ne gt gte lt lte approx contains matches length type in exists empty.
  • Variables: save from JSON paths, headers (header:Location) or status; use them as ${orderId}. Generators: ${uuid}, ${random_email}, ${random_int}, ${now}, ${today}. Secrets: ${ENV:NAME}.
  • Failures: a step that only fails value checks lets the flow continue, to gather more evidence. A wrong status, a 5xx, a blocked write or a missing saved value stops it. continue_on_failure: true runs every step (generated negative suites use it). Cleanup always runs.

Tools

ToolWhat it does
list_environmentsEnvironments and whether each allows writes (and why), auth profiles, databases, fixtures, flows.
draft_flowUser story → scenarios, the spec operations most likely involved, and a flow skeleton.
generate_negative_testsNegative and boundary cases for one operation, with real base values from fixtures.
write_flowValidates and saves a flow under tests/api/.
run_flowsRuns flows (all, by path or by tag) with full evidence and reports.
call_apiOne request with the same guardrails, to explore an API while writing tests.
query_dbOne read-only query against a test database, with masking.
export_pytestA flow as plain pytest + httpx code.

Configure: .qa-mcp/api-test.yaml

spec: openapi.yaml
default_environment: local
environments:
  local:   { base_url: http://localhost:8080 }
  staging: { base_url: https://staging.example.com, allow_writes: true }
  prod:    { base_url: https://api.example.com }        # read-only: writes refused
auth:
  default: { type: bearer, token: "${ENV:API_TOKEN}" }
  # basic: {username, password} · api_key: {header, value} · oauth2: {token_url, client_id, client_secret, scope}
databases:
  main: { url: "${ENV:TEST_DB_URL}", allow_writes: true, mask: [email, card_number] }
fixtures:
  customer:
    db: main
    insert: { table: customers, values: { id: "${uuid}", email: "${random_email}", name: Test Customer } }
    delete: { table: customers, where: { id: "${id}" } }

Databases: SQLite (built in), PostgreSQL (pip install "k11-api-functional-qa-mcp[postgres]"), MySQL/MariaDB ([mysql]) and SQL Server ([mssql]).

Guardrails

RiskWhat happens
Changing data in productionPOST/PUT/PATCH/DELETE are refused on environments named like production (prod, production, live) unless they set both allow_writes: true and production_writes_acknowledged: true. Other environments must be local, named like a test environment, or set allow_writes: true.
Writing to a databasedb steps may only read (SELECT/WITH/SHOW/EXPLAIN; no write verbs anywhere, no FOR UPDATE), on a read-only connection inside a rolled-back transaction. Writes happen only in fixtures and cleanup, on databases with allow_writes: true.
SQL injectionValues go in :named parameters; ${...} inside SQL text is refused, as is more than one statement. Table and column names in fixtures are validated.
Leaking secretsCredentials come from ${ENV:NAME}. Authorization headers show as •••, and any secret value is masked in requests, responses, errors and reports, as are database columns listed under mask.
Sending credentials elsewhereRequests must stay on the environment's host; a flow can't send your token to another URL.
Runaway queriesAt most 1,000 rows are read per query, with timeouts on every connection and request.

In CI

k11-api-functional-qa-mcp run --env staging

It writes api-test-report.md (PR comment), api-test-report.json (evidence) and api-test-junit.xml, sets GitHub Actions outputs and exits non-zero when a flow fails (--fail-on any|failed|never). See docs/api-tests.yml.

Install

Requires Python 3.10+.

/plugin marketplace add K11-Software-Solutions/k11techlab-api-functional-qa-mcp
/plugin install api-functional-qa@k11-api-functional-qa

The plugin adds /api-story-test and /api-negative-tests. To add only the MCP server:

claude mcp add api-functional-qa -- uvx k11-api-functional-qa-mcp

Claude Desktop and other clients: run uvx k11-api-functional-qa-mcp with QA_MCP_ROOT set to your project.

Try the demo

python demo/shop/server.py --port 8080
SHOP_URL=http://127.0.0.1:8080 SHOP_TOKEN=test-token QA_MCP_ROOT=demo/shop k11-api-functional-qa-mcp run

Scope

This server is for functional REST testing with database checks. Related K11 tools:

Not covered: load testing (use k6 or Gatling) and deep fuzzing (use Schemathesis).

Development

python -m venv .venv && .venv/Scripts/pip install -e ".[dev]"   # bin/pip on macOS/Linux
pytest   # values, guardrails, flows against the demo shop, negative tests, export, CLI, MCP (25)

Roadmap

  • GraphQL, gRPC and SOAP calls as flow steps
  • Java export (REST Assured)
  • MongoDB checks
  • Schema-driven test data (realistic values per field format)

Built by K11 Software Solutions. Part of the K11 Tech Lab agentic QA series. MIT licensed.

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