"Configuration d'un compte professionnel sur les réseaux sociaux" matching MCP servers:

Enables AI coding assistants to work correctly against Vertafore ImageRight APIs with version-aware configuration and planned API exploration tools.

Converts any OpenAPI/REST API into MCP tools with dynamic server switching, variable substitution, and runtime configuration. Enables seamless interaction with multiple API environments through natural language without pre-configuration.

A standalone MCP server for API debugging, login authentication, API configuration management, and indexed API execution.

Enables testing API authentication and authorization by probing endpoints with and without Authorization headers, suggesting auth test matrices for roles, and showing current test configuration.

Enables automatic HTTP requests (GET, POST, PUT, DELETE, etc.) with JSON validation and proxy support. Supports custom headers, request bodies, and environment variable configuration for seamless API integration.

An MCP server for Apidog that enables listing projects, inspecting API trees, creating modules and folders, and adding or updating requests without manual configuration.

Dynamically creates an MCP server from ServiceStack API metadata configuration files, exposing typed REST APIs as MCP tools with support for filtering by tags or specific operations.

An MCP server that automatically converts OpenAPI specifications into MCP tools by scanning a folder for spec files, requiring no configuration files or separate servers.

Automatically generates and maintains Bruno API test collections for CRUD JSON APIs. Developers describe endpoint changes and the server creates ready-to-run test suites with environment-driven configuration.

Provides AI assistants with token-efficient access to 300+ Unblu API endpoints through progressive disclosure, enabling interaction with Unblu deployments including conversation management, user operations, and configuration through natural language.

A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.

A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.

Automatically exposes Django REST Framework endpoints as MCP tools with zero configuration, supporting multiple transports and authentication.

Enables AI to interact with multiple Swagger/OpenAPI specifications by listing endpoints, exploring models, and generating TypeScript code. It centralizes the management of various APIs through a configuration file, allowing for seamless integration of documentation into AI workflows.

HTTP-4-MCP configuration tool allows you to easily convert HTTP API into MCP tool, writing the code written. Through simple interface operation, you can quickly configure an mcp-server.

Automatically converts REST APIs with Swagger/OpenAPI documentation into MCP tools, making any documented API accessible to MCP-compatible clients. Supports authentication, SSL handling, and flexible configuration for seamless API integration.

MCP server that exposes Strapi v5 content management, visual layout configuration, schema authoring, media uploads, and GraphQL testing to LLM clients via native Strapi API tokens with security hardening.

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.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

A fully automated system that analyzes Django REST Framework ViewSets to generate accurate OpenAPI 3.0 specification documentation without manual configuration.