--- title: "awesome-mcp-servers vs remove-ai-watermarks" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/punkpeye-awesome-mcp-servers-vs-wiltodelta-remove-ai-watermarks" tools: ["punkpeye-awesome-mcp-servers", "wiltodelta-remove-ai-watermarks"] --- # awesome-mcp-servers vs remove-ai-watermarks *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, remove-ai-watermarks is Apache-2.0; pick remove-ai-watermarks when license: remove-ai-watermarks 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. [remove-ai-watermarks](https://raiw.cc) has 3.9k stars, 359 forks, and 3 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers) and [remove-ai-watermarks's repository](https://github.com/wiltodelta/remove-ai-watermarks). | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [remove-ai-watermarks](/tools/wiltodelta-remove-ai-watermarks.md) | | --- | --- | --- | | Tagline | A collection of MCP servers. | AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images. | | Stars | 90,602 | 3,945 | | Forks | 12,821 | 359 | | Open issues | 2,557 | 3 | | Language | - | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools | Computer Vision, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [remove-ai-watermarks](/tools/wiltodelta-remove-ai-watermarks.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 2.6k | 3 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | [trust report](/tools/wiltodelta-remove-ai-watermarks/trust.md) | ## Choose when ### Choose awesome-mcp-servers if… - License: awesome-mcp-servers is MIT, remove-ai-watermarks is Apache-2.0. - Tags unique to awesome-mcp-servers: mcp. - More GitHub stars (91k vs 3.9k) - visibility, not fit. ### Choose remove-ai-watermarks if… - License: remove-ai-watermarks is Apache-2.0, awesome-mcp-servers is MIT. - Tags unique to remove-ai-watermarks: ai-watermark, c2pa, cli, comfyui. - Also covers Computer Vision. ## 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 remove-ai-watermarks - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between awesome-mcp-servers and remove-ai-watermarks? awesome-mcp-servers: A collection of MCP servers.. remove-ai-watermarks: AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-mcp-servers over remove-ai-watermarks? Choose awesome-mcp-servers over remove-ai-watermarks when License: awesome-mcp-servers is MIT, remove-ai-watermarks is Apache-2.0; Tags unique to awesome-mcp-servers: mcp; More GitHub stars (91k vs 3.9k) - visibility, not fit. ### When should I choose remove-ai-watermarks over awesome-mcp-servers? Choose remove-ai-watermarks over awesome-mcp-servers when License: remove-ai-watermarks is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to remove-ai-watermarks: ai-watermark, c2pa, cli, comfyui; Also covers Computer Vision. ### 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 remove-ai-watermarks? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is awesome-mcp-servers or remove-ai-watermarks more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 3,945). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-mcp-servers and remove-ai-watermarks open source? Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, remove-ai-watermarks: Apache-2.0). ### Where can I find alternatives to awesome-mcp-servers or remove-ai-watermarks? GraphCanon lists graph-backed alternatives at [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) and [remove-ai-watermarks alternatives](/tools/wiltodelta-remove-ai-watermarks/alternatives) ([awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md), [remove-ai-watermarks markdown twin](/tools/wiltodelta-remove-ai-watermarks/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-wiltodelta-remove-ai-watermarks.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 remove-ai-watermarks? awesome-mcp-servers: Very active. remove-ai-watermarks: Very 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 awesome-mcp-servers and remove-ai-watermarks? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust); [remove-ai-watermarks trust report](/tools/wiltodelta-remove-ai-watermarks/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/_