CCJK is a production-ready AI dev environment for Claude Code, Codex, and modern coding workflows.

How do I install CCJK?

Run "npx ccjk" for guided onboarding. For automation, export your API key and run "npx ccjk init --silent".

Yes, CCJK is 100% free and open source under the MIT license.

What AI providers does CCJK support?

CCJK works across official providers, OpenAI-compatible endpoints, MCP automation, and provider-specific integration profiles documented on this site.

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Dingo

OfficialFeatured

DataEval/dingo

MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.

Source Repository Research Profile

Installation Guidance

This catalog tracks the real upstream repository. Installation steps can vary by transport, package manager, and environment variables, so review the upstream README before production rollout.

Open the upstream repository or documentation.
Confirm transport mode, required tokens, and runtime dependencies.
Pin the exact command and environment variables in your own deployment runbook.

Deployment Surface

Use the scope and platform fields to verify whether this MCP server is intended for local execution, cloud execution, or embedded use before rollout.

local

Protocol Taxonomy

This entry is indexed from the MCP server dataset and grouped by real category, language, platform, and official/community ownership signals.

#python#data-science-tools#llm#data

🧮

Dingo

OfficialFeatured

DataEval/dingo

MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.

Source Repository Research Profile

Installation Guidance

This catalog tracks the real upstream repository. Installation steps can vary by transport, package manager, and environment variables, so review the upstream README before production rollout.

Open the upstream repository or documentation.
Confirm transport mode, required tokens, and runtime dependencies.
Pin the exact command and environment variables in your own deployment runbook.

Deployment Surface

Use the scope and platform fields to verify whether this MCP server is intended for local execution, cloud execution, or embedded use before rollout.

local

Protocol Taxonomy

This entry is indexed from the MCP server dataset and grouped by real category, language, platform, and official/community ownership signals.

#python#data-science-tools#llm#data