---
title: "mcp-agent vs agentflow"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lastmile-ai-mcp-agent-vs-simonmesmith-agentflow"
tools: ["lastmile-ai-mcp-agent", "simonmesmith-agentflow"]
---

# mcp-agent vs agentflow

*GraphCanon updated Aug 26, 2026*

## Verdict

Pick mcp-agent if allows creation of efficient AI agents via Model Context Protocol with workflow patterns; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

[mcp-agent](https://github.com/lastmile-ai/mcp-agent) reports 8.5k GitHub stars, 879 forks, and 134 open issues, last pushed Jan 25, 2026. [agentflow](https://github.com/simonmesmith/agentflow) has 320 stars, 27 forks, and 13 open issues, last pushed Aug 11, 2023. Figures are from public GitHub metadata via [mcp-agent's repository](https://github.com/lastmile-ai/mcp-agent) and [agentflow's repository](https://github.com/simonmesmith/agentflow).

| | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | [agentflow](/tools/simonmesmith-agentflow.md) |
| --- | --- | --- |
| Tagline | Build effective AI agents with Model Context Protocol. | Complex LLM Workflows from Simple JSON |
| Stars | 8,518 | 320 |
| Forks | 879 | 27 |
| Open issues | 134 | 13 |
| Language | Python | Python |
| Adopt for | Allows creation of efficient AI agents via Model Context Protocol with workflow patterns | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents | AI Agents, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [mcp-agent](/tools/lastmile-ai-mcp-agent.md) | [agentflow](/tools/simonmesmith-agentflow.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 212d | 1100d |
| Open issues (now) | 134 | 13 |
| Stars delta | +40 (30d) | -1 (30d) |
| Open issues delta | -6 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/lastmile-ai-mcp-agent/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) |

## Shared compatibility

- **Python**: [mcp-agent](/tools/lastmile-ai-mcp-agent.md) - Python runtime; [agentflow](/tools/simonmesmith-agentflow.md) - Python runtime

## Decision facts: mcp-agent

- **Adopt for:** Allows creation of efficient AI agents via Model Context Protocol with workflow patterns

## Decision facts: agentflow

- **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

## Choose when

### Choose mcp-agent if…

- License: mcp-agent is Apache-2.0, agentflow is MIT.
- Tags unique to mcp-agent: agents, ai-agents, llm, mcp.
- Need to implement the Model Context Protocol specifically in your agent development

### Choose agentflow if…

- License: agentflow is MIT, mcp-agent is Apache-2.0.
- Tags unique to agentflow: json, large language models, workflow-management.
- Also covers LLM Frameworks.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs

## When NOT to use mcp-agent

- Require a more customizable approach beyond pre-defined protocol and workflows
- Project demands specific AI frameworks unsupported by Model Context Protocol directly

## When NOT to use agentflow

- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution

## Common questions

### What is the difference between mcp-agent and agentflow?

mcp-agent: Build effective AI agents with Model Context Protocol.. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.

### When should I choose mcp-agent over agentflow?

Choose mcp-agent over agentflow when License: mcp-agent is Apache-2.0, agentflow is MIT; Tags unique to mcp-agent: agents, ai-agents, llm, mcp; Need to implement the Model Context Protocol specifically in your agent development.

### When should I choose agentflow over mcp-agent?

Choose agentflow over mcp-agent when License: agentflow is MIT, mcp-agent is Apache-2.0; Tags unique to agentflow: json, large language models, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.

### When should I avoid mcp-agent?

Require a more customizable approach beyond pre-defined protocol and workflows Project demands specific AI frameworks unsupported by Model Context Protocol directly

### When should I avoid agentflow?

Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution

### Is mcp-agent or agentflow more popular on GitHub?

mcp-agent has more GitHub stars (8,518 vs 320). Stars measure visibility, not whether either tool fits your constraints.

### Are mcp-agent and agentflow open source?

Yes - both are open-source projects on GitHub (mcp-agent: Apache-2.0, agentflow: MIT).

### Where can I find alternatives to mcp-agent or agentflow?

GraphCanon lists graph-backed alternatives at [mcp-agent alternatives](/tools/lastmile-ai-mcp-agent/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([mcp-agent markdown twin](/tools/lastmile-ai-mcp-agent/alternatives.md), [agentflow markdown twin](/tools/simonmesmith-agentflow/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/lastmile-ai-mcp-agent-vs-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, mcp-agent or agentflow?

mcp-agent: Slowing. agentflow: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for mcp-agent and agentflow?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcp-agent trust report](/tools/lastmile-ai-mcp-agent/trust); [agentflow trust report](/tools/simonmesmith-agentflow/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lastmile-ai-mcp-agent`](/api/graphcanon/graph?tool=lastmile-ai-mcp-agent)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
