Comparison
ECC vs MCPJungle
Verdict
Pick ECC when eCC is primarily JavaScript; MCPJungle is Go; pick MCPJungle when mCPJungle is primarily Go; ECC is JavaScript.
Markdown twin · ECC alternatives · MCPJungle alternatives
GraphCanon updated today
Trust & integrity
| Signal | ECC | MCPJungle |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1d · github_public_v1 | Steady (51d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of 1d · mcp_manifest | No MCP manifest As of today · mcp_manifest |
Tagline
- ECC
- The agent harness performance optimization system for AI agents
- MCPJungle
- One place to manage & connect to all your MCP servers
Stars
- ECC
- 228k
- MCPJungle
- 1.1k
Forks
- ECC
- 35k
- MCPJungle
- 145
Open issues
- ECC
- 93
- MCPJungle
- 92
Language
- ECC
- JavaScript
- MCPJungle
- Go
Adopt for
- ECC
- ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes.
- MCPJungle
- -
Persona
- ECC
- -
- MCPJungle
- -
Runtime
- ECC
- -
- MCPJungle
- -
License
- ECC
- MIT
- MCPJungle
- MPL-2.0
Last pushed
- ECC
- Jul 9, 2026
- MCPJungle
- May 20, 2026
Categories
- ECC
- AI Agents, Developer Tools
- MCPJungle
- AI Agents, Developer Tools
Trust and health
Maintenance
- ECC
- Very active (96%)
- MCPJungle
- Steady (60%)
Days since push
- ECC
- 2d
- MCPJungle
- 51d
Open issues (now)
- ECC
- 93
- MCPJungle
- 92
Owner type
- ECC
- User
- MCPJungle
- Organization
Full report
- ECC
- Trust report
- MCPJungle
- Trust report
Choose ECC if…
- ECC is primarily JavaScript; MCPJungle is Go.
- License: ECC is MIT, MCPJungle is MPL-2.0.
- 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: anthropic, claude, claude-code, llm.
- 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 MCPJungle if…
- MCPJungle is primarily Go; ECC is JavaScript.
- License: MCPJungle is MPL-2.0, ECC is MIT.
- Tags unique to MCPJungle: infrastructure, mcp, mcp-gateway, mcp-registry.
When NOT to use MCPJungle
- 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 (mcpjungle/MCPJungle) · observed Jul 11, 2026
- GitHub forks (mcpjungle/MCPJungle) · observed Jul 11, 2026
- Last push (mcpjungle/MCPJungle) · observed May 20, 2026
- License file (MPL-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ECC 228k · MCPJungle 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between ECC and MCPJungle?
- ECC: The agent harness performance optimization system for AI agents. MCPJungle: One place to manage & connect to all your MCP servers. See the comparison table for live GitHub stats and shared categories.
- When should I choose ECC over MCPJungle?
- Choose ECC over MCPJungle when ECC is primarily JavaScript; MCPJungle is Go; License: ECC is MIT, MCPJungle is MPL-2.0; 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: anthropic, claude, claude-code, llm; 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 MCPJungle over ECC?
- Choose MCPJungle over ECC when MCPJungle is primarily Go; ECC is JavaScript; License: MCPJungle is MPL-2.0, ECC is MIT; Tags unique to MCPJungle: infrastructure, mcp, mcp-gateway, mcp-registry.
- 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 MCPJungle?
- 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 MCPJungle more popular on GitHub?
- ECC has more GitHub stars (228,395 vs 1,148). Stars measure visibility, not whether either tool fits your constraints.
- Are ECC and MCPJungle open source?
- Yes - both are open-source projects on GitHub (ECC: MIT, MCPJungle: MPL-2.0).
- Where can I find alternatives to ECC or MCPJungle?
- GraphCanon lists graph-backed alternatives at ECC alternatives and MCPJungle alternatives (ECC markdown twin, MCPJungle 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 MCPJungle?
- ECC: Very active. MCPJungle: 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 MCPJungle?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ECC trust report; MCPJungle trust report.