"Meta" matching MCP servers:

A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.

Deployable MCP clone services for A2A-Meta, hosting pending clones via a multiplexer for Railway deployment.

Enables comprehensive Salesforce metadata management from MCP clients, providing 221 tools for creating objects, fields, Apex, flows, LWCs, Agentforce agents, and more.

MCP server for the LiteLLM proxy, enabling agents to administer resources like keys, teams, users, models, and proxy settings through risk-graded meta-tools.

MCP server that exposes GreenNode AgentBase REST APIs as three searchable meta-tools (list_servers, search_tools, execute), reducing tool-definition overhead by ~95%. Runs locally over stdio or remotely over streamable HTTP with any MCP client.

MCP server for the Red Hat Advanced Cluster Security for Kubernetes API, providing LLM access to all 69 API services and 361 endpoints through six meta-tools for discovery, inspection, and direct API calls.

Enables deploying, inspecting, and managing serverless functions on the MetaCall FaaS platform through a Model Context Protocol interface. Supports uploading zip packages, triggering deployments, retrieving logs, listing repositories and subscriptions, and invoking deployed functions with token-based authentication.

This MCP server wraps MetaCall FaaS API endpoints as tools, enabling LLMs to list deployments, call functions, and deploy repositories directly via natural language.

Exposes MetaCall FaaS capabilities as MCP tools for deploying, invoking, and managing serverless functions.

Enables the deployment of remote Model Context Protocol servers on Cloudflare Workers without authentication using Server-Sent Events. It provides a boilerplate for developers to add custom tools and connect them to clients like Claude Desktop or the Cloudflare AI Playground.

Enables AI assistants to deploy and manage static websites through a self-hosted EdgeOne Pages MCP server, with one-click deploy and direct API access.