Swagger Testcase MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fetch_swaggerA | Fetch and parse an OpenAPI/Swagger specification. Supports:
|
| analyze_endpointC | Analyze a specific endpoint from a loaded Swagger spec. Returns detailed info about parameters, request body, responses, and security. |
| generate_test_casesA | Generate QA test cases for a specific API endpoint. Produces positive, negative, boundary, auth, security, idempotency, pagination, and business logic test cases based on the OpenAPI spec. |
| generate_test_cases_batchB | Generate QA test cases for multiple endpoints at once. Optionally filter by tag, methods, or path prefix. |
| export_test_casesA | Export previously generated test cases in various formats: markdown, json, csv, allure_csv, gherkin, postman, k6, pytest, testrail_csv (Steps template), testrail_csv_text (Text template). |
| compare_specsB | Compare two versions of an OpenAPI spec. Detects added/removed/modified endpoints, schema changes, and breaking changes. |
| validate_specA | Validate an OpenAPI spec for quality and completeness. Checks for missing descriptions, orphaned schemas, naming inconsistencies, missing error responses, and more. Returns a quality score (0-100). |
| generate_mock_dataB | Generate realistic mock/sample data from an endpoint's request or response schema. Useful for populating Postman, tests, or documentation. |
| suggest_missing_testsB | Analyze test coverage for generated test cases. Shows which response codes, parameters, and boundary conditions are covered or missing. Provides prioritized suggestions for additional tests. |
| clear_cacheA | Clear cached specs and/or generated test cases. Useful when the spec has been updated and needs to be reloaded. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose with no overlap: analyze_endpoint, compare_specs, export_test_cases, fetch_swagger, generate_mock_data, generate_test_cases, generate_test_cases_batch, suggest_missing_tests, and validate_spec all target specific, non-overlapping tasks in the API testing workflow. Even clear_cache is distinct as a utility function. An agent can easily differentiate between them based on their descriptions.
Tool names follow a consistent snake_case pattern with clear verb_noun or verb_adjective_noun structures throughout, such as analyze_endpoint, clear_cache, compare_specs, export_test_cases, fetch_swagger, generate_mock_data, generate_test_cases, generate_test_cases_batch, suggest_missing_tests, and validate_spec. This uniformity makes the set predictable and easy to navigate.
With 10 tools, the server is well-scoped for its purpose of API testing and validation. Each tool serves a specific, necessary function in the workflow—from fetching and validating specs to generating and analyzing test cases—without redundancy. This count is typical for a domain-focused server and supports comprehensive operations without being overwhelming.
The tool set provides complete coverage for the API testing domain: it handles spec loading (fetch_swagger), validation (validate_spec), analysis (analyze_endpoint, compare_specs), test generation (generate_test_cases, generate_test_cases_batch), mock data creation (generate_mock_data), coverage assessment (suggest_missing_tests), export (export_test_cases), and utility (clear_cache). There are no obvious gaps; agents can perform end-to-end workflows without dead ends.