@testneo/mcp-server

@testneo/mcp-server

MCP server for TestNeo quality workflows, enabling test generation, execution, and analysis through MCP-compatible IDE clients.

Category
访问服务器

README

@testneo/mcp-server

TestNeo MCP connects Cursor, VS Code, Claude Desktop, and other MCP-compatible clients to TestNeo — so your AI chat can list projects, inspect runs, generate tests from context (including Swagger/OpenAPI and design context), and (when you allow it) execute tests with guardrails.

Resource Link
Product testneo.ai
Sign up & app app.testneo.ai/signup
Hosted MCP docs (quickstart, tools, workflows, security) testneo.ai/docs/testneo-mcp.html
Source github.com/gururajhm-neo/testneo-mcp

Get started (production)

1) Create a TestNeo account and project

  1. Open app.testneo.ai/signup and register.
  2. In the app, create a project (web/API automation) and note the project id when you run workflows from chat.
  3. Open your account/API settings and create an API key (tn_…). Treat it like a password.

2) Point the MCP server at TestNeo Cloud

Use the production API base URL:

Variable Value
TESTNEO_BASE_URL https://app.testneo.ai
TESTNEO_API_KEY your tn_… key

Self-hosted customers can set TESTNEO_BASE_URL to their own API origin instead.

3) Add the server to your IDE (recommended: npx)

No global install required. Example for Cursor (~/.cursor/mcp.json or Settings → MCP):

{
  "mcpServers": {
    "testneo": {
      "command": "npx",
      "args": ["-y", "@testneo/mcp-server"],
      "env": {
        "TESTNEO_BASE_URL": "https://app.testneo.ai",
        "TESTNEO_API_KEY": "tn_YOUR_KEY_HERE",
        "TESTNEO_MCP_ALLOW_WRITE": "false"
      }
    }
  }
}

Keep TESTNEO_MCP_ALLOW_WRITE at false until you intentionally want execute/rerun/Swagger-write tools; read-only tools still work. Write tools also need confirm=true on each call — see hosted security section.

4) Reload MCP and verify

Restart the IDE (or reload MCP servers), then in chat:

Validate my TestNeo connection
List my TestNeo projects

5) Go deeper

Follow TestNeo MCP — Docs for quickstart detail, tool reference, workflows (e.g. qa_intelligence_workflow), and troubleshooting. This repo’s docs/MCP_TOOL_REFERENCE.md mirrors the same tool list for offline browsing.


Why use TestNeo MCP?

  • Less context switching — quality signals, generation, and execution requests happen in the same chat as your code.
  • Guarded writes — mutating tools stay off unless you set TESTNEO_MCP_ALLOW_WRITE=true and pass confirm=true.
  • Same backend as the product — projects, executions, Swagger pipeline, Figma/context flows, and Playwright SDK paths all go through your real TestNeo deployment.

Smoke check (against your account)

From a clone of this repo, after npm install and npm run build:

TESTNEO_BASE_URL="https://app.testneo.ai" TESTNEO_API_KEY="tn_YOUR_KEY_HERE" npm run smoke

Copy .env.example to .env and edit values if you prefer loading env from a file (your shell or tooling must export them before npm run smoke).


Optional: run from a local build instead of npx

npm install
npm run build

Point your MCP config at:

node /absolute/path/to/this/repo/dist/index.js

See docs/IDE_SETUP.md for more client-specific notes.


Responses & contracts

  • Tool responses include _telemetry (request_id, duration_ms, backend_paths, etc.) for support and auditing.
  • testneo_get_failure_bundle (and triage-heavy testneo_run_agent_workflow steps) may include suggested_nlp_patch when include_nlp_patch_suggestion is true (default). Details: docs/MCP_TOOL_REFERENCE.md.
  • Project execution preconditions (default on): generate/execute-style tools may return project_precondition_failed unless the project resolves a real https base URL for the app under test (website_url or environment base_url). example.com placeholders are rejected. For special dev setups only: TESTNEO_MCP_RELAX_PROJECT_PRECONDITIONS=true.
  • Execution intelligence: normalized payloads use contract_version: execution_intelligence.v1 (or pipeline variants) and canonical_status (queued | running | passed | failed | cancelled | unknown) alongside raw backend status.

v1 tool surface (summary)

Read-heavy: connection, projects, executions, logs, trends, watch, failure bundles, agent workflows, unified contexts, Swagger preview, route map, etc.

Writes (guarded): execute generated test, testneo_run_generated_test_pipeline (run + wait + report), rerun failed, trigger Playwright, Swagger upload/impact, NLP updates, route map persist, Figma ingest, etc.

Full list: docs/MCP_TOOL_REFERENCE.md or hosted tool reference.


Environment reference

Required

  • TESTNEO_BASE_URL — use https://app.testneo.ai for TestNeo Cloud; otherwise your self-hosted API origin.
  • TESTNEO_API_KEY — from the app after signup.

Common optional flags

  • TESTNEO_MCP_ALLOW_WRITE — default false; set true only when you want mutating tools.
  • TESTNEO_MCP_RELAX_PROJECT_PRECONDITIONS — default false.
  • TESTNEO_MCP_TELEMETRY_JSONL, TESTNEO_MCP_POLICY_MODE, TESTNEO_MCP_TIMEOUT_MS, TESTNEO_MCP_SWAGGER_TIMEOUT_MS, TESTNEO_MCP_USER_AGENT
  • Route hardening: TESTNEO_ROUTE_HARDENING, TESTNEO_ROUTE_PROFILE, TESTNEO_ROUTE_MAP_JSON

Generation: testneo_generate_tests_from_context defaults to auto_align_saucedemo_route_map=true for SauceDemo-style auth presets when no custom map is set.


Tests (no live API)

npm test

Runs build checks and offline guardrail scripts (no TESTNEO_BASE_URL required).


Security

  • API key is read only from the environment.
  • Write tools are disabled unless TESTNEO_MCP_ALLOW_WRITE=true.
  • Write tools require confirm=true (and optional idempotency_key for safe retries).

More policy detail: Security & Governance on the hosted docs.


License & reporting

  • License: GPL-3.0 — see LICENSE.
  • Security: see SECURITY.md.
  • Changelog: CHANGELOG.md.

Maintainers only: public GitHub mirror

The npm package and gururajhm-neo/testneo-mcp mirror are synced from the private TestNeo monorepo. Do not put monorepo paths or internal CI tokens in your MCP client config — that is maintainer workflow only.

Instructions (local push, optional GitHub Actions secret): docs/PUBLISHING.md.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选