Les enseignants ont besoin de moyennes à jour immédiatement après la publication ou modification des notes, sans attendre un batch nocturne. Le système recalcule via Domain Events synchrones : statistiques d'évaluation (min/max/moyenne/médiane), moyennes matières pondérées (normalisation /20), et moyenne générale par élève. Les résultats sont stockés dans des tables dénormalisées avec cache Redis (TTL 5 min). Trois endpoints API exposent les données avec contrôle d'accès par rôle. Une commande console permet le backfill des données historiques au déploiement.
8.6 KiB
Pact MCP Server (SmartBear)
Principle
Use the SmartBear MCP server to enable AI agent interaction with PactFlow/Pact Broker during contract testing workflows. The MCP server provides tools for generating pact tests, fetching provider states, reviewing test quality, and checking deployment safety — all accessible through the Model Context Protocol.
Rationale
Why MCP for contract testing?
- Live broker queries: AI agents can fetch existing provider states, verification results, and deployment status directly from PactFlow
- Test generation assistance: MCP tools generate consumer and provider tests based on existing contracts, OpenAPI specs, or templates
- Automated review: MCP-powered review checks tests against best practices without manual inspection
- Deployment safety:
can-i-deploychecks integrated into agent workflows for real-time compatibility verification
When TEA uses it
- test-design workflow: Fetch existing provider states to understand current contract landscape
- automate workflow: Generate pact tests using broker knowledge and existing contracts
- test-review workflow: Review pact tests against best practices with automated feedback
- ci workflow: Reference can-i-deploy and matrix tools for pipeline guidance
Available Tools
| # | Tool | Description | When Used |
|---|---|---|---|
| 1 | Generate Pact Tests | Create consumer/provider tests from code, OpenAPI, or templates | automate workflow |
| 2 | Fetch Provider States | List all provider states from broker for a given consumer-provider pair | test-design, automate |
| 3 | Review Pact Tests | Analyze tests against contract testing best practices | test-review |
| 4 | Can I Deploy | Check deployment safety via broker verification matrix | ci workflow |
| 5 | Matrix | Query consumer-provider verification matrix | ci, test-design |
| 6 | PactFlow AI Status | Check AI credits and permissions (PactFlow Cloud only) | diagnostics |
| 7 | Metrics - All | Workspace-wide contract testing metrics | reporting |
| 8 | Metrics - Team | Team-level adoption statistics (PactFlow Cloud only) | reporting |
Installation
Config file locations
| Tool | Global Config File | Format |
|---|---|---|
| Claude Code | ~/.claude.json |
JSON (mcpServers) |
| Codex | ~/.codex/config.toml |
TOML ([mcp_servers]) |
| Gemini CLI | ~/.gemini/settings.json |
JSON (mcpServers) |
| Cursor | ~/.cursor/mcp.json |
JSON (mcpServers) |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
JSON (mcpServers) |
| VS Code (Copilot) | .vscode/mcp.json |
JSON (servers) |
Claude Code tip: Prefer the
claude mcp addCLI over manual JSON editing. Use-s userfor global (all projects) or omit for per-project (default).
CLI shortcuts (Claude Code and Codex)
# Claude Code — use add-json for servers with env vars (-s user = global)
claude mcp add-json -s user smartbear \
'{"type":"stdio","command":"npx","args":["-y","@smartbear/mcp@latest"],"env":{"PACT_BROKER_BASE_URL":"https://{tenant}.pactflow.io","PACT_BROKER_TOKEN":"<your-token>"}}'
# Codex
codex mcp add smartbear -- npx -y @smartbear/mcp@latest
JSON config (Gemini CLI, Cursor, Windsurf)
Add a "smartbear" entry to the mcpServers object in the config file for your tool:
{
"mcpServers": {
"smartbear": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@smartbear/mcp@latest"],
"env": {
"PACT_BROKER_BASE_URL": "https://{tenant}.pactflow.io",
"PACT_BROKER_TOKEN": "<your-api-token>"
}
}
}
}
Codex TOML config
Codex uses TOML instead of JSON. Add to ~/.codex/config.toml:
[mcp_servers.smartbear]
command = "npx"
args = ["-y", "@smartbear/mcp@latest"]
[mcp_servers.smartbear.env]
PACT_BROKER_BASE_URL = "https://{tenant}.pactflow.io"
PACT_BROKER_TOKEN = "<your-api-token>"
Note the key is mcp_servers (underscored), not mcpServers.
VS Code (GitHub Copilot)
Add to .vscode/mcp.json (note: uses servers key, not mcpServers):
{
"servers": {
"smartbear": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@smartbear/mcp@latest"],
"env": {
"PACT_BROKER_BASE_URL": "https://{tenant}.pactflow.io",
"PACT_BROKER_TOKEN": "${input:pactToken}"
}
}
}
}
Note
: Set either
PACT_BROKER_TOKEN(for PactFlow) orPACT_BROKER_USERNAME+PACT_BROKER_PASSWORD(for self-hosted). Leave unused vars empty.
Required Environment Variables
| Variable | Required | Description |
|---|---|---|
PACT_BROKER_BASE_URL |
Yes (for Pact features) | PactFlow or self-hosted Pact Broker URL |
PACT_BROKER_TOKEN |
For PactFlow / token auth | API token for broker authentication |
PACT_BROKER_USERNAME |
For basic auth (self-hosted) | Username for basic authentication |
PACT_BROKER_PASSWORD |
For basic auth (self-hosted) | Password for basic authentication |
Authentication: Use token auth (PACT_BROKER_TOKEN) for PactFlow. Use basic auth (PACT_BROKER_USERNAME + PACT_BROKER_PASSWORD) for self-hosted Pact Broker instances. Only one auth method is needed.
Requirements: Node.js 20+
Pattern Examples
Example 1: Fetching Provider States During Test Design
When designing contract tests, use MCP to query existing provider states:
# Agent queries SmartBear MCP during test-design workflow:
# → Fetch Provider States for consumer="movie-web", provider="SampleMoviesAPI"
# ← Returns: ["movie with id 1 exists", "no movies exist", "user is authenticated"]
#
# Agent uses this to generate comprehensive consumer tests covering all states
Example 2: Reviewing Pact Tests
During test-review workflow, use MCP to evaluate test quality:
# Agent submits test file to SmartBear MCP Review tool:
# → Review Pact Tests with test file content
# ← Returns: feedback on matcher usage, state coverage, interaction naming
#
# Agent incorporates feedback into review report
Example 3: Can I Deploy Check in CI
During CI workflow design, reference the can-i-deploy tool:
# Agent generates CI pipeline with can-i-deploy gate:
# → Can I Deploy: pacticipant="SampleMoviesAPI", version="${GITHUB_SHA}", to="production"
# ← Returns: { ok: true/false, reason: "..." }
#
# Agent designs pipeline to block deployment if can-i-deploy fails
Key Points
- Per-project install recommended: Different projects may target different PactFlow tenants — match TEA's per-project config philosophy
- Env vars are project-specific:
PACT_BROKER_BASE_URLandPACT_BROKER_TOKENvary by project/team - Node.js 20+ required: SmartBear MCP server requires Node.js 20 or higher
- PactFlow Cloud features: Some tools (AI Status, Team Metrics) are only available with PactFlow Cloud, not self-hosted Pact Broker
- Complements pactjs-utils: MCP provides broker interaction during design/review; pactjs-utils provides runtime utilities for test code
Related Fragments
pactjs-utils-overview.md— runtime utilities that pact tests importpactjs-utils-provider-verifier.md— verifier options that reference broker configcontract-testing.md— foundational contract testing patterns
Anti-Patterns
Wrong: Using MCP for runtime test execution
# ❌ Don't use MCP to run pact tests — use npm scripts and CI pipelines
# MCP is for agent-assisted design, generation, and review
Right: Use MCP for design-time assistance
# ✅ Use MCP during planning and review:
# - Fetch provider states to inform test design
# - Generate test scaffolds from existing contracts
# - Review tests for best practice compliance
# - Check can-i-deploy during CI pipeline design
Source: SmartBear MCP documentation, PactFlow developer docs