Best AI Agent Builders for Model Context Protocol (MCP)
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Compare the Top AI Agent Builders that integrate with Model Context Protocol (MCP) as of September 2025
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This a list of AI Agent Builders that integrate with Model Context Protocol (MCP). Use the filters on the left to add additional filters for products that have integrations with Model Context Protocol (MCP). View the products that work with Model Context Protocol (MCP) in the table below.
What are AI Agent Builders for Model Context Protocol (MCP)?
AI agent builders are tools, platforms, or frameworks designed to create, train, and deploy intelligent virtual agents capable of performing tasks autonomously. These builders provide resources for natural language processing, decision-making algorithms, and machine learning, enabling agents to interact with users effectively. They often include user-friendly interfaces or APIs to customize behaviors, integrate with existing systems, and adapt to specific use cases. AI agent builders are widely used across industries, including customer service, healthcare, education, and entertainment, to enhance efficiency and user experience. By leveraging these tools, developers and businesses can rapidly create sophisticated agents tailored to their unique needs. Compare and read user reviews of the best AI Agent Builders for Model Context Protocol (MCP) currently available using the table below. This list is updated regularly.
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1
Postman
Postman
The collaboration platform for API development. Simplify each step of building an API and streamline collaboration so you can create better APIs—faster. Postman is a collaboration platform for API development. Postman's features simplify each step of building an API and streamline collaboration so you can create better APIs—faster. Quickly and easily send REST, SOAP, and GraphQL requests directly within Postman. Automate manual tests and integrate them into your CI/CD pipeline to ensure that any code changes won't break the API in production. Communicate the expected behavior of an API by simulating endpoints and their responses without having to set up a backend server. Generate and publish beautiful, machine-readable documentation to make your API easier to consume. Stay up-to-date on the health of your API by checking performance and response times at scheduled intervals. Provide a shared context for building and consuming APIs, and collaborate in real-time.Starting Price: $12 per user per month -
2
Metaflow AI
Metaflow AI
For growth operators and knowledge workers trapped between rigid app-connectors and endless prompt threads, Metaflow is an intuitive Agent builder and automation toolkit that lets you ideate freely, and then solidify discoveries into scalable AI workflows. Unlike most automation tools that separates creativity from execution, Metaflow lets discovery and execution happen in a unified space, giving ideas the room to be explored, nurtured, and mature into durable systems that unlock outsized impact, freeing growth teams to reclaim cognitive bandwidth and immerse themselves in deeply meaningful work.Starting Price: Free -
3
Runbear
Runbear
Runbear is a no-code platform that enables teams to create AI agents integrated with popular communication and productivity tools like Slack, Teams, HubSpot, and more. It allows users to build custom AI assistants quickly, typically within 10 minutes, without requiring technical expertise. Runbear helps automate repetitive tasks, streamline internal communication, and manage AI agents tailored for different teams all from a single interface. The platform supports integrations with AI models like OpenAI, Claude, and Gemini, combined with content management systems such as Google Drive, Notion, and Confluence. Use cases include automating meeting preparation, summarizing Slack threads, analyzing Airtable data through natural language, and enabling AI to suggest answers in Slack channels. Customer testimonials highlight Runbear’s ease of use and the significant efficiency gains achieved by integrating AI directly into workflows.Starting Price: $79 per month -
4
Mastra
Mastra AI
Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.Starting Price: Free -
5
Activepieces
Activepieces
Activepieces is an AI-powered, open-source, no-code automation platform designed to help teams streamline workflows and integrate AI seamlessly into everyday tasks. With over 280 pre-built automations (MCPs), Activepieces allows users to connect to popular apps, trigger processes, and even create personalized AI agents with minimal effort. The platform includes features like human input for approvals, a robust automation builder, and AI-assisted code for more advanced workflows. It empowers decentralized teams by offering tools for collaboration, governance, and security, making it suitable for organizations of all sizes, from startups to enterprises.Starting Price: $25/month -
6
Portia
Portia
Portia AI is an open source developer framework (with optional cloud services) that lets teams rapidly build, deploy, and monitor stateful, authenticated AI agents with full visibility and control. Developers start by prompting the SDK to generate explicit, structured multi-step “plans” that weave together LLM reasoning and tool calls, then run those plans step-by-step, enriching plan state at each stage and pausing for clarifications (human or machine) whenever authentication or missing data is required. With its unified auth framework and plug-and-play tool catalog, Portia handles credentials and permissions for remote API and MCP tool invocations automatically. The complementary cloud offering adds persistent storage of plan run states, historical logs, telemetry dashboards, and managed scaling so production deployments stay reliable, auditable, and compliant in regulated environments.Starting Price: $30 per month -
7
Koog
JetBrains
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.Starting Price: Free -
8
mcp-use
mcp-use
mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.Starting Price: Free -
9
Pipedream
Pipedream
The fastest way to integrate APIs and run code. Pipedream is a serverless integration and compute platform that makes it easy to connect apps and develop event-driven workflows. Event sources turn any API into a real-time event stream. Create event sources to listen for new Tweets, Github events, Airtable records, RSS items, webhook events and more. Inspect events in a human-friendly way, trigger Node.js workflows on every event, or consume events in your own app via API. Workflows are composed of Node.js code steps that run on every event. Write your own Node.js (and use any npm package) or reuse actions that scaffold popular APIs. Trigger via sources or a custom URL, email address, SDK code or schedule. Auth apps once, connect to those apps in any workflow. Pipedream supports OAuth and key-based auth, and handles the OAuth flow and token refresh for you. Just link accounts to steps and reference the relevant auth info in code.Starting Price: Free -
10
Azure AI Foundry
Microsoft
Azure AI Foundry is a unified application platform for your entire organization in the age of AI. Azure AI Foundry helps bridge the gap between cutting-edge AI technologies and practical business applications, empowering organizations to harness the full potential of AI efficiently and effectively. Azure AI Foundry is designed to empower your entire organization—developers, AI engineers, and IT professionals—to customize, host, run, and manage AI solutions with greater ease and confidence. This unified approach simplifies the development and management process, helping all stakeholders focus on driving innovation and achieving strategic goals. Azure AI Foundry Agent Service is a powerful component designed to facilitate the seamless operation of AI agents throughout the entire lifecycle—from development and deployment to production.
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