---
title: "awesome-mcp-servers vs CodeGeeX"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/punkpeye-awesome-mcp-servers-vs-zai-org-codegeex"
tools: ["punkpeye-awesome-mcp-servers", "zai-org-codegeex"]
---

# awesome-mcp-servers vs CodeGeeX

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, CodeGeeX is Apache-2.0; pick CodeGeeX when license: CodeGeeX is Apache-2.0, awesome-mcp-servers is MIT.

[awesome-mcp-servers](https://glama.ai/mcp/servers) reports 91k GitHub stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. [CodeGeeX](https://codegeex.cn) has 8.8k stars, 689 forks, and 188 open issues, last pushed Aug 13, 2024. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers) and [CodeGeeX's repository](https://github.com/zai-org/CodeGeeX).

| | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [CodeGeeX](/tools/zai-org-codegeex.md) |
| --- | --- | --- |
| Tagline | A collection of MCP servers. | CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023) |
| Stars | 90,602 | 8,796 |
| Forks | 12,821 | 689 |
| Open issues | 2,557 | 188 |
| Language | - | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Developer Tools | Developer Tools, Model Training |

## Trust and health

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

| | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [CodeGeeX](/tools/zai-org-codegeex.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 6d | 697d |
| Open issues (now) | 2.6k | 188 |
| Owner type | User | Organization |
| Security scan | No MCP manifest | 85 low (85 low) |
| Full report | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | [trust report](/tools/zai-org-codegeex/trust.md) |

## Choose when

### Choose awesome-mcp-servers if…

- License: awesome-mcp-servers is MIT, CodeGeeX is Apache-2.0.
- Tags unique to awesome-mcp-servers: ai, mcp.
- More GitHub stars (91k vs 8.8k) - visibility, not fit.

### Choose CodeGeeX if…

- License: CodeGeeX is Apache-2.0, awesome-mcp-servers is MIT.
- Tags unique to CodeGeeX: code-generation, pretrained models, python, tools.
- Also covers Model Training.

## When NOT to use awesome-mcp-servers

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

## When NOT to use CodeGeeX

- Last GitHub push was 698 days ago (dormant maintenance, Aug 13, 2024). Validate activity before betting a new project on CodeGeeX.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## Common questions

### What is the difference between awesome-mcp-servers and CodeGeeX?

awesome-mcp-servers: A collection of MCP servers.. CodeGeeX: CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023). See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-mcp-servers over CodeGeeX?

Choose awesome-mcp-servers over CodeGeeX when License: awesome-mcp-servers is MIT, CodeGeeX is Apache-2.0; Tags unique to awesome-mcp-servers: ai, mcp; More GitHub stars (91k vs 8.8k) - visibility, not fit.

### When should I choose CodeGeeX over awesome-mcp-servers?

Choose CodeGeeX over awesome-mcp-servers when License: CodeGeeX is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to CodeGeeX: code-generation, pretrained models, python, tools; Also covers Model Training.

### When should I avoid awesome-mcp-servers?

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

### When should I avoid CodeGeeX?

Last GitHub push was 698 days ago (dormant maintenance, Aug 13, 2024). Validate activity before betting a new project on CodeGeeX. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is awesome-mcp-servers or CodeGeeX more popular on GitHub?

awesome-mcp-servers has more GitHub stars (90,602 vs 8,796). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-mcp-servers and CodeGeeX open source?

Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, CodeGeeX: Apache-2.0).

### Where can I find alternatives to awesome-mcp-servers or CodeGeeX?

GraphCanon lists graph-backed alternatives at [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) and [CodeGeeX alternatives](/tools/zai-org-codegeex/alternatives) ([awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md), [CodeGeeX markdown twin](/tools/zai-org-codegeex/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/punkpeye-awesome-mcp-servers-vs-zai-org-codegeex.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-mcp-servers or CodeGeeX?

awesome-mcp-servers: Very active. CodeGeeX: 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 awesome-mcp-servers and CodeGeeX?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust); [CodeGeeX trust report](/tools/zai-org-codegeex/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers`](/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers)
- 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/_
