---
title: "agno vs Android-MCP"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-cursortouch-android-mcp"
tools: ["agno-agi-agno", "cursortouch-android-mcp"]
---

# agno vs Android-MCP

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick agno when license: agno is Apache-2.0, Android-MCP is MIT; pick Android-MCP when license: Android-MCP is MIT, agno is Apache-2.0.

[agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [Android-MCP](https://github.com/CursorTouch/Android-MCP) has 738 stars, 102 forks, and 7 open issues, last pushed Jul 1, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [Android-MCP's repository](https://github.com/CursorTouch/Android-MCP).

| | [agno](/tools/agno-agi-agno.md) | [Android-MCP](/tools/cursortouch-android-mcp.md) |
| --- | --- | --- |
| Tagline | Build, run, and manage your own agent platform. | MCP Server for interacting with Android Devices. |
| Stars | 41,090 | 738 |
| Forks | 5,627 | 102 |
| Open issues | 1,009 | 7 |
| Language | Python | Python |
| Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Developer Tools | Developer Tools |

## Trust and health

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

| | [agno](/tools/agno-agi-agno.md) | [Android-MCP](/tools/cursortouch-android-mcp.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 14d |
| Open issues (now) | 1.0k | 7 |
| Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/cursortouch-android-mcp/trust.md) |

## Decision facts: agno

- **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.

## Choose when

### Choose agno if…

- License: agno is Apache-2.0, Android-MCP is MIT.
- Tags unique to agno: agents, ai-agents, developer-tools.
- Also covers AI Agents.
- Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.

### Choose Android-MCP if…

- License: Android-MCP is MIT, agno is Apache-2.0.
- Tags unique to Android-MCP: ai, android, automation, mcp-server.
- Leaner open-issue backlog (7).

## When NOT to use agno

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## When NOT to use Android-MCP

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## Common questions

### What is the difference between agno and Android-MCP?

agno: Build, run, and manage your own agent platform.. Android-MCP: MCP Server for interacting with Android Devices.. See the comparison table for live GitHub stats and shared categories.

### When should I choose agno over Android-MCP?

Choose agno over Android-MCP when License: agno is Apache-2.0, Android-MCP is MIT; Tags unique to agno: agents, ai-agents, developer-tools; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.

### When should I choose Android-MCP over agno?

Choose Android-MCP over agno when License: Android-MCP is MIT, agno is Apache-2.0; Tags unique to Android-MCP: ai, android, automation, mcp-server; Leaner open-issue backlog (7).

### When should I avoid agno?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### When should I avoid Android-MCP?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### Is agno or Android-MCP more popular on GitHub?

agno has more GitHub stars (41,090 vs 738). Stars measure visibility, not whether either tool fits your constraints.

### Are agno and Android-MCP open source?

Yes - both are open-source projects on GitHub (agno: Apache-2.0, Android-MCP: MIT).

### Where can I find alternatives to agno or Android-MCP?

GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [Android-MCP alternatives](/tools/cursortouch-android-mcp/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [Android-MCP markdown twin](/tools/cursortouch-android-mcp/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/agno-agi-agno-vs-cursortouch-android-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agno or Android-MCP?

agno: Very active. Android-MCP: Active. 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 agno and Android-MCP?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [Android-MCP trust report](/tools/cursortouch-android-mcp/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno)
- 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/_
