Comparison
ECC vs cursor-talk-to-figma-mcp
Verdict
Pick ECC when eCC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data; pick cursor-talk-to-figma-mcp when tags unique to cursor-talk-to-figma-mcp: ai, agentic-ai, codex, agentic.
Markdown twin · ECC alternatives · cursor-talk-to-figma-mcp alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ECC | cursor-talk-to-figma-mcp |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Steady (73d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No MCP manifest As of today · mcp_manifest |
Tagline
- ECC
- The agent harness performance optimization system for AI agents
- cursor-talk-to-figma-mcp
- TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
Stars
- ECC
- 228k
- cursor-talk-to-figma-mcp
- 6.9k
Forks
- ECC
- 35k
- cursor-talk-to-figma-mcp
- 749
Open issues
- ECC
- 93
- cursor-talk-to-figma-mcp
- 83
Language
- ECC
- JavaScript
- cursor-talk-to-figma-mcp
- JavaScript
Adopt for
- ECC
- ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes.
- cursor-talk-to-figma-mcp
- -
Persona
- ECC
- -
- cursor-talk-to-figma-mcp
- -
Runtime
- ECC
- -
- cursor-talk-to-figma-mcp
- -
License
- ECC
- MIT
- cursor-talk-to-figma-mcp
- MIT
Last pushed
- ECC
- Jul 9, 2026
- cursor-talk-to-figma-mcp
- Apr 29, 2026
Categories
- ECC
- AI Agents, Developer Tools
- cursor-talk-to-figma-mcp
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- ECC
- Very active (96%)
- cursor-talk-to-figma-mcp
- Steady (60%)
Days since push
- ECC
- 2d
- cursor-talk-to-figma-mcp
- 73d
Open issues (now)
- ECC
- 93
- cursor-talk-to-figma-mcp
- 83
Owner type
- ECC
- User
- cursor-talk-to-figma-mcp
- Organization
Full report
- ECC
- Trust report
- cursor-talk-to-figma-mcp
- Trust report
Choose ECC if…
- ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data.
- Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project..
- Tags unique to ECC: llm, productivity, claude, anthropic.
- When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management.
When NOT to use ECC
- For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary.
- In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC.
Choose cursor-talk-to-figma-mcp if…
- Tags unique to cursor-talk-to-figma-mcp: ai, agentic-ai, codex, agentic.
- Also covers LLM Frameworks.
- Leaner open-issue backlog (83).
When NOT to use cursor-talk-to-figma-mcp
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (affaan-m/ECC) · observed Jul 11, 2026
- GitHub forks (affaan-m/ECC) · observed Jul 11, 2026
- Last push (affaan-m/ECC) · observed Jul 9, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (grab/cursor-talk-to-figma-mcp) · observed Jul 11, 2026
- GitHub forks (grab/cursor-talk-to-figma-mcp) · observed Jul 11, 2026
- Last push (grab/cursor-talk-to-figma-mcp) · observed Apr 29, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ECC 228k · cursor-talk-to-figma-mcp 6.9k (synced Jul 11, 2026).
Common questions
- What is the difference between ECC and cursor-talk-to-figma-mcp?
- ECC: The agent harness performance optimization system for AI agents. cursor-talk-to-figma-mcp: TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ECC over cursor-talk-to-figma-mcp?
- Choose ECC over cursor-talk-to-figma-mcp when ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data; Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project.; Tags unique to ECC: llm, productivity, claude, anthropic; When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management.
- When should I choose cursor-talk-to-figma-mcp over ECC?
- Choose cursor-talk-to-figma-mcp over ECC when Tags unique to cursor-talk-to-figma-mcp: ai, agentic-ai, codex, agentic; Also covers LLM Frameworks; Leaner open-issue backlog (83).
- When should I avoid ECC?
- For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary. In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC.
- When should I avoid cursor-talk-to-figma-mcp?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
- Is ECC or cursor-talk-to-figma-mcp more popular on GitHub?
- ECC has more GitHub stars (228,395 vs 6,886). Stars measure visibility, not whether either tool fits your constraints.
- Are ECC and cursor-talk-to-figma-mcp open source?
- Yes - both are open-source projects on GitHub (ECC: MIT, cursor-talk-to-figma-mcp: MIT).
- Where can I find alternatives to ECC or cursor-talk-to-figma-mcp?
- GraphCanon lists graph-backed alternatives at ECC alternatives and cursor-talk-to-figma-mcp alternatives (ECC markdown twin, cursor-talk-to-figma-mcp markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ECC or cursor-talk-to-figma-mcp?
- ECC: Very active. cursor-talk-to-figma-mcp: Steady. 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 ECC and cursor-talk-to-figma-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ECC trust report; cursor-talk-to-figma-mcp trust report.