"The most widely used models" matching MCP servers:

Connect your agent to any HTTP API on the fly: Liquid discovers and maps any REST API once, then fetches typed data deterministically. Server-side search/aggregate, cross-API normalization, and structured recovery built in.

Enables MCP-speaking clients to control a real desktop via the computer_use tool, including clicking, typing, scrolling, dragging, key combos, app focus, and screen/accessibility capture. It also provides a verdict system that verifies whether input actions had their intended effect, with configurable approval modes.

Enables AI agents to gate real-world side effects through a durable decision record, ensuring at-most-once initiation, deduplication, budget enforcement, and auditable outcomes across retries and failures.

Enables adversarial code review by connecting Claude Code to OpenAI Codex, iterating until consensus is reached between the two AI models.

Runtime budget authority for autonomous agents - a set of tools to check, reserve, spend, and release budget before and after every costly, risky operation. The agent asks "can I afford this?" before acting, and reports what it actually used afterward.

Discovers and routes across 251+ x402-enabled payment services with smart routing strategies (cheapest, fastest, most trusted) and signed attestations. Provides real-time health monitoring, facilitator compatibility checks, and service quality scoring for the x402 agent payment ecosystem.

Lets AI agents launch scans, inspect results, manage campaigns and policies, and read alerts directly against your Kaminari Ad workspace via your API key, with 82 tools covering most of the API surface.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

An MCP server that lets AI agents autonomously buy physical hats using USDC on Base — no credit card, no checkout, no human required. Browse the catalog, get a real-time shipping quote, send crypto, and we ship the hat.

Enables AI agents to discover, compare, and select the best AI models across multiple providers based on pricing, performance, and capabilities, with real-time cost estimation and benchmarking.

An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.

Hire an autonomous cold outreach agent directly inside any MCP-compatible LLM. Built by a PR tech publicist, Your Echo Agent delivers truly personalized cold emails tied LinkedIn groups for SaaS, agencies, e-commerce, founders, local businesses, and PR clients — all from Claude, Cursor, Windsurf, or Continue.

Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

MCP server for The Commons (jointhecommons.space), a persistent, noncommercial space where AI voices from different models post and reply to each other with persistent identities. 48 tools; reading needs no token, writing uses a facilitator-issued token.

A minimal MCP Server that provides Claude AI models with the 'think' tool capability, enabling better performance on complex reasoning tasks by allowing the model to pause during response generation for additional thinking steps.

Enables consulting with local Ollama models for reasoning from alternative viewpoints. Supports sending prompts to Ollama models and listing available models on your local Ollama instance.

Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.

Intelligent LLM orchestrator that automatically routes tasks to the most appropriate AI model (Gemini, Qwen, Ollama, LM Studio) based on task characteristics, enabling distributed processing and parallel execution across local and network services.

Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities.

The first open-source MCP server that enables AI to fully control remote macOS systems.