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@cocaxcode/api-testing-mcp
Advanced tools
The most complete MCP server for API testing. 35 tools: HTTP requests, assertions, request flows, OpenAPI import, mock data, load testing, collections, environments, native export/import, Postman import/export, cURL export, response diffing. Zero config,
Your AI already knows how to test APIs. Give it the tools.
35 MCP tools · Zero config · Works in any MCP client
Overview · Just Talk to It · Installation · Features · Tool Reference · Storage · Architecture
An MCP server that turns your AI assistant into a full API testing workbench. Send requests, write assertions, chain flows, import OpenAPI specs, generate mock data, load test, diff responses, manage collections and environments — all from natural conversation. No accounts, no frameworks, no generated files. Everything executes inline and stores as plain JSON you can commit to git.
You don't need to learn tool names or parameters. Describe what you want and the AI picks the right tool.
"Set up an environment called dev with BASE_URL http://localhost:3000"
"Import my API spec from /api-docs-json"
"Show me all user endpoints"
"GET /users"
"Create a user with random data"
"Verify that DELETE /users/5 returns 204"
"Login as admin, extract the token, then fetch dashboard stats"
"How fast is /health with 50 concurrent requests?"
"Run all my saved smoke tests"
"Compare the users endpoint between dev and prod"
"Export the create-user request as curl"
"Export my collection to Postman"
If you've imported an OpenAPI spec, the AI already knows every endpoint, every required field, every valid enum value. When you say "create a blog post", it reads the schema and builds the request correctly — no guessing.
claude mcp add --scope user api-testing -- npx -y @cocaxcode/api-testing-mcp@latest
Add to your config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"api-testing": {
"command": "npx",
"args": ["-y", "@cocaxcode/api-testing-mcp@latest"]
}
}
}
Add to .cursor/mcp.json or .windsurf/mcp.json in your project root:
{
"mcpServers": {
"api-testing": {
"command": "npx",
"args": ["-y", "@cocaxcode/api-testing-mcp@latest"]
}
}
}
VS Code — add to .vscode/mcp.json:
{
"servers": {
"api-testing": {
"command": "npx",
"args": ["-y", "@cocaxcode/api-testing-mcp@latest"]
}
}
}
Codex CLI (OpenAI):
codex mcp add api-testing -- npx -y @cocaxcode/api-testing-mcp@latest
Or add to ~/.codex/config.toml:
[mcp_servers.api-testing]
command = "npx"
args = ["-y", "@cocaxcode/api-testing-mcp@latest"]
Gemini CLI — add to ~/.gemini/settings.json:
{
"mcpServers": {
"api-testing": {
"command": "npx",
"args": ["-y", "@cocaxcode/api-testing-mcp@latest"]
}
}
}
Once installed, set up an environment so relative paths resolve automatically:
"Create an environment called dev with BASE_URL http://localhost:3000"
If your API has a Swagger/OpenAPI spec, import it:
"Import my API spec from http://localhost:3000/api-docs-json"
Verify with: "List my environments" — you should see the one you just created.
Send any HTTP method with headers, query params, JSON body, auth, and {{variable}} interpolation. Relative URLs auto-resolve against BASE_URL.
"POST to /api/users with name Jane and email jane@company.com using my bearer token"
Supports: GET, POST, PUT, PATCH, DELETE, HEAD, OPTIONS — Bearer / API Key / Basic auth — custom timeouts.
Validate responses with structured pass/fail results:
"Verify that GET /api/health returns 200, body.status is ok, and responds in under 500ms"
PASS — 3/3 assertions passed
status === 200
body.status === "ok"
timing.total_ms < 500
10 operators: eq, neq, gt, gte, lt, lte, contains, not_contains, exists, type
Chain requests with variable extraction between steps. Perfect for auth flows and CRUD sequences.
"Login as admin@test.com, extract the access token, then use it to fetch all users"
flow_run({
steps: [
{
name: "login",
method: "POST",
url: "/auth/login",
body: { email: "admin@test.com", password: "SecurePass#99" },
extract: { "TOKEN": "body.access_token" }
},
{
name: "get-users",
method: "GET",
url: "/api/users",
headers: { "Authorization": "Bearer {{TOKEN}}" }
}
]
})
Import specs from a URL or local file (JSON and YAML). Once imported, the AI knows every endpoint, parameter, and schema.
"Import my API spec from http://localhost:3000/api-docs-json"
"Import the spec from ./openapi.yaml"
"What parameters does POST /users expect?"
Supports OpenAPI 3.x with full $ref resolution, allOf, oneOf, anyOf. OpenAPI 2.0 partially supported.
Generate realistic fake data from your OpenAPI schemas. Respects types, formats (email, uuid, date-time), enums, and required fields.
"Generate mock data for creating a user"
{
"email": "user42@example.com",
"name": "Test User 73",
"password": "TestPass123!",
"role": "admin"
}
Fire N concurrent requests and get performance metrics:
"How fast is the health endpoint with 50 concurrent requests?"
LOAD TEST — GET /api/health
Requests: 50 concurrent
Successful: 50 | Failed: 0
Req/sec: 23.31
Min: 45ms | Avg: 187ms
p50: 156ms | p95: 412ms | p99: 523ms
Max: 567ms
Execute two requests and compare their responses field by field. Detect regressions or compare environments.
"Compare the users endpoint between dev and prod"
Run every saved request in a collection (or filter by tag) and get a summary:
"Run all my saved smoke tests"
BULK TEST — 8/8 passed | 1.2s total
health — GET /health → 200 (45ms)
list-users — GET /users → 200 (123ms)
create-post — POST /blog → 201 (89ms)
login — POST /auth/login → 200 (156ms)
Save requests for reuse with tags. Build regression suites.
"Save this request as create-user with tags auth, smoke"
"List all requests tagged smoke"
Manage variables across dev/staging/prod and switch instantly. Project-scoped environments let different projects use different active environments simultaneously.
"Create an environment called github with BASE_URL https://api.github.com"
"Set GITHUB_TOKEN in the github environment"
"Switch to github"
"Get my repos"
Resolution order: project-specific environment > global active environment.
Bidirectional Postman support. Migrate seamlessly between Postman and your AI workflow.
"Import my Postman collection from ./exported.postman_collection.json"
"Export my collection to Postman"
"Export the dev environment for Postman"
Collection: Postman v2.1 format. Folders become tags. Auth inherited from folders/collection level. Supports raw JSON, x-www-form-urlencoded, form-data bodies.
Environment: Prefers currentValue over value. Skips disabled variables. Optional activate flag.
Collection: Requests grouped in folders by tag. Auth mapped to Postman's native format. {{variables}} preserved as-is.
Environment: All variables exported as enabled: true in Postman-compatible format.
Export collections and environments to a portable .atm/ folder. Share with your team or copy between projects.
"Export my collection and dev environment"
your-project/
└── .atm/
├── collection.json
└── dev.env.json
[!NOTE]
.atm/is automatically added to.gitignoreon first export.
Convert any saved request into a ready-to-paste cURL command with resolved variables.
"Export the create-user request as curl"
curl -X POST \
'https://api.example.com/users' \
-H 'Authorization: Bearer eyJhbGci...' \
-H 'Content-Type: application/json' \
-d '{"name":"Jane","email":"jane@company.com"}'
35 tools across 8 categories:
| Category | Tools | Count |
|---|---|---|
| Requests | request | 1 |
| Testing | assert | 1 |
| Flows | flow_run | 1 |
| Collections | collection_save, collection_list, collection_get, collection_delete | 4 |
| Environments | env_create, env_list, env_set, env_get, env_switch, env_rename, env_delete, env_spec, env_project_clear, env_project_list | 10 |
| API Specs | api_import, api_spec_list, api_endpoints, api_endpoint_detail | 4 |
| Mock | mock | 1 |
| Utilities | load_test, export_curl, diff_responses, bulk_test, export_collection, import_collection, export_environment, import_environment, export_postman_collection, import_postman_collection, export_postman_environment, import_postman_environment | 12 |
[!TIP] You don't need to call tools directly. Describe what you want and the AI picks the right one.
All data lives in ~/.api-testing/ as plain JSON files — no database, no cloud sync.
~/.api-testing/
├── active-env # Global active environment name
├── project-envs.json # Per-project active environments
├── collections/ # Saved requests
├── environments/ # Environment variables (dev, prod, ...)
└── specs/ # Imported OpenAPI specs
Exports go to .atm/ in your project root (portable, auto-gitignored).
Override the default storage path:
{
"env": { "API_TESTING_DIR": "/path/to/custom/.api-testing" }
}
[!WARNING] If you override
API_TESTING_DIRto a path inside a git repository, add.api-testing/to your.gitignoreto avoid pushing credentials.
src/
├── index.ts # Entry point (shebang + StdioServerTransport)
├── server.ts # createServer() factory
├── tools/ # 35 tool handlers (one file per category)
│ ├── request.ts # HTTP requests (1)
│ ├── assert.ts # Assertions (1)
│ ├── flow.ts # Request chaining (1)
│ ├── collection.ts # Collection CRUD (4)
│ ├── environment.ts # Environment management (10)
│ ├── api-spec.ts # OpenAPI import/browse (4)
│ ├── mock.ts # Mock data generation (1)
│ ├── load-test.ts # Load testing (1)
│ └── utilities.ts # curl, diff, bulk, import/export (12)
├── lib/ # Business logic (no MCP dependency)
│ ├── http-client.ts # fetch wrapper with timing
│ ├── storage.ts # JSON file storage engine
│ ├── schemas.ts # Shared Zod schemas
│ ├── url.ts # BASE_URL resolution
│ ├── path.ts # Dot-notation accessor (body.data.0.id)
│ ├── interpolation.ts # {{variable}} resolver
│ └── openapi-parser.ts # $ref + allOf/oneOf/anyOf resolution
└── __tests__/ # 10 test suites, 110+ tests
Stack: TypeScript (strict) · MCP SDK · Zod · Vitest · tsup
FAQs
The most complete MCP server for API testing. 36 tools: HTTP requests (with token-optimized responses), assertions, request flows, OpenAPI import, mock data, load testing, collections, environments, native export/import, Postman import/export, cURL export
The npm package @cocaxcode/api-testing-mcp receives a total of 57 weekly downloads. As such, @cocaxcode/api-testing-mcp popularity was classified as not popular.
We found that @cocaxcode/api-testing-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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