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 July 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
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 -
3
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 -
4
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 -
5
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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