"Character Name and Profile Generator" matching MCP servers:

Enables instant creation of mock API servers from OpenAPI specs or natural language descriptions, with built-in fake data generation, CRUD endpoints, and configurable delays/errors for testing.

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

Automatically discovers GraphQL APIs through introspection and generates table-formatted queries with pagination, filters, and sorting. Supports multiple authentication types and provides both CLI and REST API interfaces for seamless integration.

MCP server that analyzes OpenAPI/Swagger REST API contracts and generates BDD Gherkin feature files and TypeScript Jest regression test scripts.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

Enables LLMs to discover and use generated REST API services as Model Context Protocol tools and resources, supporting CRUD actions and read-only data access without custom glue code.

A server that implements the Model Context Protocol (MCP) standard, enabling LLMs like Claude to interact with selected Postman API requests through generated JavaScript tools.

An MCP-compatible server that provides tools for integrating selected Postman API requests, allowing LLMs like Claude to interact with APIs through natural language.

Generates MCP servers from Postman API requests, automatically creating JavaScript tools that enable LLMs to interact with any API documented in Postman collections. Supports authentication configuration and deployment via STDIO or SSE.

Automatically converts Postman API collections into MCP-compatible tools for AI assistants. Enables users to interact with any API through natural language by generating JavaScript tools from Postman requests.

An MCP server that converts Postman API requests into executable tools for LLMs using the Postman Runtime. It supports complex authentication types and enables seamless integration between Postman collections and MCP clients like Claude Desktop.

Exposes selected operations of an existing REST/OpenAPI app as MCP tools with generated schemas, permission annotations, and a risk class, requiring explicit opt-in before anything is listed and a second flag for destructive calls. Enforces security-first guardrails such as environment-injected auth, a single confined base URL, timeouts, response caps, rate limiting, and a local test console for trying tools.

An MCP server generated from Postman API requests, enabling natural language interaction with Postman collections via MCP-compatible clients like Claude.

Generates customized, production-grade MCP servers for Rocket.Chat by selecting only the specific API endpoints needed for a project to minimize context bloat and token usage. It uses natural language processing to parse official OpenAPI specs and automatically create optimized TypeScript servers with built-in authentication and tests.

Generates MCP servers from Postman API collections, automatically converting selected API requests into MCP-compatible tools that can be used with Claude Desktop and other MCP clients.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Prepares and validates an authenticated PipMCP connection so AI coding agents can discover and call hosted provider tools with schemas, scopes, and approval controls.

Lets an AI assistant learn the CloudCart Storefront GraphQL API, look up types, queries and mutations by name, and validate GraphQL snippets against schema and common real-world mistakes. It runs entirely locally with no store, token, or network access, so no live data is ever touched.

A small native HTTP client whose MCP server (plunger mcp) lets an AI agent send requests safely: undefined variables are refused, secrets are filled in by name and masked in results, and every request is recorded in a history you can see in the window. MIT licensed, for Windows, with a Linux build of the CLI and MCP server.

Enables MCP clients to read YC application and founder-profile data, discover and run GraphQL operations, prepare exact mutation previews, commit reviewed changes once, and verify durable mutation receipts through private, fixed-origin sessions.

It enables AI agents and CI to run profile-driven SOAP/REST service tests with automatic login/session handling, test-customer locking, masked transaction-log/HAR catalog import, and cross-environment scenario execution.

An MCP server that integrates the Neople Cyphers Open API with AI assistants for searching players, match histories, and rankings. It provides tools for retrieving character info, game items, and real-time statistics directly through natural language.

Enables MCP clients to connect over stateless Streamable HTTP or stdio, use an example time-zone tool with typed schemas and error handling, and validate deployed endpoints with a preflight checker.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.

A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.

Enables agents to invoke any REST or SOAP service by sending a normalized payload, with support for API key, Basic, Bearer, and OAuth2 auth. Connectors can be registered once and reused by name.

Introspects a Django REST API's OpenAPI schema and exposes each endpoint as an MCP tool, enabling Claude or any MCP client to interact with the API via natural language.

A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.

An MCP server that integrates EVE Online's ESI API with AI assistants to enable natural language interaction with character data, market information, and assets. It provides 22 tools for managing skills, wallet balances, ship fittings, and more directly through AI-powered clients.

Provides AI assistants with access to AegisX UI components, CRUD generator commands, development patterns, and API contract discovery tools. It enables developers to browse component documentation, build generation commands, and test authenticated API endpoints through the Model Context Protocol.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs by providing schema introspection and query execution capabilities.

Enables interaction with the NEI platform to query project resources such as interfaces and business groups. It provides tools for searching by URI or name and supports manual synchronization to ensure local data is up to date.

A server that provides direct connection to Wind API through MCP interface, allowing HTTP or SSE-based access to financial data functions like wsd, wss, and wsq without requiring additional socket servers.

Enables MCP clients to verify publisher acceptance fixtures over Streamable HTTP by exposing an identify tool that returns the fixture name, version, transport, and supplied message.

Turns any OpenAPI/Swagger spec into queryable tools for LLMs, enabling endpoint search, detail retrieval, and schema exploration.

Provides AI agents and LLMs access to the Tesy 56 API through standardized MCP tools for seamless integration and interaction with Tesy 56 endpoints.