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Equip AI agents with Chinese-first search, file handling, and shell execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-toolkit" yet — see the docs or source repo.
Search for the latest information on the MCP tool ecosystem with priority on Chinese sources, summarize the key points, and save them as mcp-report.md in the current directory.
A summary based on Chinese-language sources and a generated Markdown report file.
Scan all Markdown files under ./docs, count the files, total word count, and duplicate headings, then output a summary report.
A directory analysis report with file stats, content overview, and duplicate item list.
Run the test command in the current project, read the failure logs, identify the most likely issue, and suggest fixes.
Test execution results, issue diagnosis, and actionable fix recommendations.
Use zero-config MCP servers for web search and AI-driven Hexo blog management.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Use utility tools for files, math, JSON, time, and system queries.
Build MCP servers inside Nuxt apps with simple tool and resource definitions.
Run SQL, APIs, and sandboxed Python for multi-step research and data tasks.
Investigate agents, conversation threads, and content trust signals for analysis.