Install BMAD workflow framework with agent commands and templates. Create product brief, PRD, project context, and architecture decision document covering networking/persistence strategy, JS engine evolution path, threading model, web_api scaling, system integration, and tab/process model. Add generated project documentation (architecture overview, component inventory, development guide, source tree analysis). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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