mcp-agent

Composable agent orchestration via MCP servers

mcp-agent is an open-source framework with 8K+ GitHub stars for building AI agents that leverage MCP (Model Context Protocol) servers as composable tool providers. Agents connect to multiple MCP servers simultaneously, gaining access to diverse capabilities without custom integrations. Supports multi-agent workflows, parallel tool execution, and automatic server discovery. Designed to make MCP the universal interface between AI agents and external tools, databases, and services.

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About mcp-agent

mcp-agent builds AI agents that use MCP servers as their primary tool interface. Instead of custom API integrations, agents connect to standardized MCP servers for capabilities like file access, database queries, web browsing, and more.

Agents can connect to multiple MCP servers simultaneously, composing capabilities from different providers. Parallel tool execution enables efficient multi-step workflows. Automatic server discovery simplifies configuration.

Multi-agent patterns allow specialized agents to coordinate through shared MCP server access. The framework integrates with the growing ecosystem of MCP servers available through directories like Smithery.

Complements the existing MCP ecosystem on aicoolies (mcp-protocol, mcp-run, smithery) by providing the agent orchestration layer on top of MCP's tool protocol.

Pricing & Platform Specs

Pricing Summary

Free and 100% open source under the Apache-2.0 license. mcp-agent has no subscription tiers, seat limits, or licensing fees; developers can build, run, and self-host MCP-native AI agents locally or deploy them to cloud infrastructure with Temporal durability.

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Supported Platforms

Python, MCP protocol

Explore categories, tags & use cases

Use Cases

Agentic Development API Integration

Alternatives

All mcp-agent alternatives →

Browser Use

AI agent framework for web browser automation

Browser Use is an open-source AI agent framework with 99K+ GitHub stars enabling LLMs to control web browsers via natural language. Y Combinator-backed, it lets agents navigate sites, fill forms, extract data, and complete multi-step tasks autonomously. Built on Playwright with vision-based element detection, multi-tab management, cookie persistence, and self-correcting actions. Supports OpenAI, Anthropic, and local models with a simple Python API for building custom browser agents.

freemiumOpen Source

Composio

Tool infrastructure for AI agents

Composio connects AI agents to 1,000+ app toolkits with managed auth, delegated user connections, sessions, tool search, MCP gateway support, CLI workflows, and sandboxed workbench execution. It targets developers building Claude, Codex, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and custom agent workflows that need authenticated business actions without hand-rolling every API integration.

freemiumOpen Source

Agno

Lightweight multi-modal agent framework

Fast, lightweight Python framework for building multi-modal AI agents, formerly known as Phidata. Includes built-in memory, knowledge bases, tools, and reasoning capabilities with 40K+ GitHub stars. Designed for developers who want to build production-ready agents quickly with minimal boilerplate, supporting structured outputs and multi-agent coordination out of the box.

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fast-agent

MCP, ACP and Skills support for building production coding agents — interactive or automated.

fast-agent is an Apache-licensed Python framework for building and running LLM agents with full MCP (Model Context Protocol) and ACP support. It ships with an interactive shell mode, Skills management, and multi-model routing — making it a practical platform for coding agents, workflow automation, and agent evaluation across Claude, Codex, HuggingFace, and local models.

Open Source

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Side-by-Side Comparisons

Evolver

mcp-agent

Evolver vs mcp-agent — Two Answers to the Agent Improvement Problem in 2026

These projects do not replace each other — they answer different questions. mcp-agent is a composable runtime that turns MCP servers into agent capabilities at build time. Evolver is a change-control layer that improves agent behavior at review time. The pick depends on whether your gap is 'how do I assemble an agent?' or 'how do I improve one already running?'

Evolvermcp-agent

Community experience

Sources & verification

mcp-agent Official Documentation & Repository

Sources checked: September 5, 2026
Content verified: September 6, 2026

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is mcp-agent?

Is mcp-agent free?

Yes — mcp-agent is open source and free to use. Free and 100% open source under the Apache-2.0 license. mcp-agent has no subscription tiers, seat limits, or licensing fees; developers can build, run, and self-host MCP-native AI agents locally or deploy them to cloud infrastructure with Temporal durability.

Is mcp-agent open source?

Yes — mcp-agent is open source.

Is mcp-agent still maintained?

Yes — mcp-agent is active. Its listing was last verified on September 6, 2026.

What are the best mcp-agent alternatives?

The first editor-selected mcp-agent alternatives are Browser Use, Composio, Agno, and more.

mcp-agent

About mcp-agent

Pricing & Platform Specs

Pricing Summary

Supported Platforms

Categories

Tags

Use Cases

Alternatives

Browser Use

Composio

Agno