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Run local kimi-code CLI tasks remotely through QQ messages via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kimi-bridge" yet — see the docs or source repo.
Send a QQ message to WorkBuddy: In the current project, create a Python script that reads all CSV files in the logs directory, summarizes error counts, and outputs report.md.
The tool invokes the local kimi-code CLI and returns the generated script and report result.
Send a QQ message to WorkBuddy: Open my frontend project, install dependencies, run tests, and summarize failed cases with fix suggestions.
The tool executes commands locally and returns test results, error summaries, and fix recommendations.
Send a QQ message to WorkBuddy: Standardize all H1 headings in Markdown files under the docs directory to the project format and list all changes.
The tool uses the local CLI to batch edit files and returns a change summary and processing status.
Connect AI coding assistants to OpenRouter for queries, file analysis, and batch tasks.
Explore a local codebase read-only and answer questions with file-line citations.
Share memory across chats, delegate tasks, and orchestrate parallel AI workflows.
Connect local agents to Microsoft Work IQ for enterprise context and tools.
Connects MCP clients to local Codex CLI for autonomous coding and thread history management.
Dynamically bridge and register MCP capabilities with two-way client communication.