Server data from the Official MCP Registry
MCP server bridging AI assistants to Moonshot AI Kimi Code CLI for code analysis and review
MCP server bridging AI assistants to Moonshot AI Kimi Code CLI for code analysis and review
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: KIMI_MCP_CWD
Environment variable: KIMI_SESSION_TTL_MS
Environment variable: KIMI_MAX_SESSIONS
Environment variable: MOONSHOT_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-x51xxx-kimi-mcp-server": {
"env": {
"KIMI_MCP_CWD": "your-kimi-mcp-cwd-here",
"MOONSHOT_API_KEY": "your-moonshot-api-key-here",
"KIMI_MAX_SESSIONS": "your-kimi-max-sessions-here",
"KIMI_SESSION_TTL_MS": "your-kimi-session-ttl-ms-here"
},
"args": [
"-y",
"@trishchuk/kimi-mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP server (stdio) that bridges Claude / Cursor / any MCP client to Moonshot AI's Kimi Code CLI.
Architecture mirrors @trishchuk/codex-mcp-tool — same patterns, adapted to Kimi's flag surface (--print, --quiet, -r, --continue, --add-dir, --mcp-config-file, --config).
Kimi K2.6 (April 2026) is a 1T-parameter MoE open-weight model with native agent-swarm orchestration, 262k context, and SWE-Bench Pro on par with GPT-5.5. Kimi Code CLI is the reference agent harness. This server lets MCP-aware editors call Kimi as a sub-agent without leaving their primary interface.
npm install -g @trishchuk/kimi-mcp-server
You also need Kimi Code CLI:
curl -LsSf https://code.kimi.com/install.sh | bash
# OR
uv tool install --python 3.13 kimi-cli
Then run kimi once and use /login to authenticate via the Kimi Code platform — or set MOONSHOT_API_KEY.
Minimal — working directory is auto-detected from PWD / INIT_CWD / process.cwd(), just like codex-mcp-tool:
{
"mcpServers": {
"kimi": {
"command": "kimi-mcp"
}
}
}
Pin a specific project root only if your client launches the server from somewhere unrelated:
{
"mcpServers": {
"kimi": {
"command": "kimi-mcp",
"env": { "KIMI_MCP_CWD": "/absolute/path/to/your/project" }
}
}
}
You can also override per call via the workingDir argument on ask-kimi, or let the server infer it from @path/to/file references in the prompt — same priority chain as codex-mcp-tool: workingDir arg → KIMI_MCP_CWD → PWD → INIT_CWD → @path inference → process.cwd().
| Tool | What it does |
|---|---|
ask-kimi | Main entry — file analysis (@path), session resume, MCP passthrough |
brainstorm | Structured ideation (divergent / convergent / SCAMPER / design-thinking / lateral / auto) |
batch-kimi | Sequential or parallel atomic tasks with priority, stop-on-error, structured report |
review-changes | Code review of working tree / branch diff / specific commit (collects git diff and prompts Kimi) |
list-sessions | List, delete, or clear active conversation sessions |
health | Diagnose Kimi CLI installation, auth, and session state |
ping / Help / version | Smoke tests + help passthrough |
ask-kimi highlightsprompt — supports @path/to/file to drop file context (Kimi reads via working dir).model — overrides default_model at runtime via --config. Known: kimi-for-coding, kimi-k2-6, kimi-k2-thinking-turbo, kimi-k2-5, kimi-latest.thinking — toggles thinking mode (writes default_thinking into runtime config).outputFormat — text (default) or stream-json (JSONL of assistant + tool messages, parsed transparently).responseMode — clean (default; final assistant text only) or full (tool calls + stderr log + final).sessionId — workspace-isolated session ID (md5 of repo:head:path). The server tracks the native Kimi session ID returned by the CLI and replays it via kimi -r <id>.continueLatest — sets --continue (resume the most recent session in the cwd).mcpConfigFile — passes --mcp-config-file so Kimi can talk to other MCP servers from inside this process.addDirs — repeats --add-dir for multi-root projects.yolo / afk — approval shortcuts (print mode auto-approves anyway, but useful for documentation/logging).| Feature | Kimi CLI |
|---|---|
| Print / non-interactive | --print (required for MCP); --quiet = --print --output-format text --final-message-only |
| JSON streaming | --output-format=stream-json, --input-format=stream-json |
| Sessions | --continue, --session <id>, -r <id> |
| Configuration | --config-file <path>, --config '<json/toml>' |
| Workspace | spawn cwd + --add-dir <path> (no --cd flag) |
| MCP passthrough | --mcp-config-file or kimi mcp add |
| Exit codes | 0 ok, 1 fatal, 75 retryable transient |
| Var | Default | Purpose |
|---|---|---|
KIMI_MCP_CWD | — | Override working directory for every tool call |
KIMI_SESSION_TTL_MS | 86400000 (24h) | Session expiration |
KIMI_MAX_SESSIONS | 50 | Max concurrent sessions |
MOONSHOT_API_KEY | — | Forwarded to Kimi CLI for unattended auth |
npm install
npm run build # tsc → dist/
npm run lint # tsc --noEmit
node dist/index.js # smoke run on stdio
MIT — Taras Trishchuk
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.