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

Connects AI assistants to the ADAS platform, enabling them to build, validate, and deploy multi-agent systems through natural language commands without manual configuration.

Enables AI agents to search, browse, and recommend tools from the Hermes Agent ecosystem directory with zero configuration.

Enables cross-harness host inspection, profile persistence, and execution configuration, with safe preview, apply, and validation of configuration changes.

MCP server that enables deployment and management of MCP servers through a simple configuration-based interface.

Lets local MCP clients use one LightNow-managed MCP entry instead of storing every MCP server configuration and secret in every client.

A local digital asset hub for multi-AI assistant collaboration, offering real-time meeting rooms and structured project vaults with zero-configuration setup.

A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.

A declarative framework that manages LLM resources, prompts, and tools through YAML configuration files. It enables LLMs to interact with external data, CLI commands, and Python functions using the Model Context Protocol.

Intelligent MCP server orchestrator that automates configuration, orchestration, and lifecycle management of other MCP servers for AI agents.

Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

Connect your Echo AI assistants to MCP-compatible clients, enabling listing Echos, reading configuration and analytics, reviewing conversations, sending messages, and fetching embed snippets or headless integration guides.

Enables AI clients to connect to a single MCP endpoint that aggregates many MCP servers and built-in tools, with multi-user authentication, per-user server configuration, encrypted secrets, and a skills hub.

Enables managing OpAMP agents via natural language, allowing listing agents, viewing details, and setting or deleting configuration overrides.

Unified management of AI-agent configuration across Claude, Codex, and Gemini, keeping native config files intact while enabling comparison, editing, and application of equivalent capabilities.

Unified control plane and runtime for the Model Context Protocol ecosystem, enabling plugin management, configuration, permissions, and API gateway services.

Aggregates multiple backend MCP servers into a single unified interface with optional web management UI for tool control and configuration.

Enables multiple Copilot or Agency CLI sessions to reuse a single persistent MCP backend connection per alias, reducing startup overhead and centralizing local MCP configuration.

Enables a coding agent to ask another person's coding agent questions across different machines, networks, and subscriptions, with revocable directional permission and a locked-down responder session enforced by configuration.

Enables comprehensive interaction with Discord servers to manage guilds, channels, messages, and members through an agentic workflow. It supports RAG capabilities, rate-limited message operations, and includes a React-based dashboard for monitoring and configuration.