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Coala Client

该 Skill 是 coala-client 命令行工具的说明书，介绍首次初始化、配置提供商与密钥、交互式对话，以及将 CWL 工具集导入为 MCP 服务器、列出和调用 MCP 工具、导入并加载 skill 的方法与常用聊天命令。

hubentu
hubentu
热度 65.08
最近更新 2026-05-17 12:24:42
分类：开发依赖：代码执行 / 读写文件 / 第三方 API / MCP 服务应用场景：API 集成 / 概念解释 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add coala
Metadata
name
coala-client
description
How to use the coala-client CLI for chat with LLMs, MCP servers, and skills. Use when the user asks how to use coala, run coala chat, add MCP servers, import CWL toolsets, list or call MCP tools, or import or load skills.
homepage
https://github.com/coala-info/coala_client
metadata
{"clawdbot":{"emoji":"🧬","requires":{"bins":["coala-client"]},"install":[{"id":"uv","kind":"uv","package":"coala-client","bins":["coala-client"],"label":"Install coala-client (uv)"}]}}

Coala Client

Part of the coala ecosystem. CLI for chat with OpenAI-compatible LLMs (OpenAI, Gemini, Ollama) and MCP (Model Context Protocol) servers. Supports importing CWL toolsets as MCP servers, importing skills.

Config paths

  • MCP config and toolsets: ~/.config/coala/mcps/
    • mcp_servers.json — server definitions
    • <toolset>/ — per-toolset dirs with run_mcp.py and CWL files
  • Skills: ~/.config/coala/skills/ (one subfolder per imported source)
  • Env: ~/.config/coala/env (optional; key=value for providers and MCP env)

Quick start

  1. Init (first time)
    coala init — creates ~/.config/coala/mcps/mcp_servers.json and env.

  2. Set API key
    e.g. export OPENAI_API_KEY=... or export GEMINI_API_KEY=.... Ollama needs no key.

  3. Chat
    coala or coala chat — interactive chat with MCP tools.
    coala ask "question" — single prompt with MCP.

  4. Options
    -p, --provider (openai|gemini|ollama|custom), -m, --model, --no-mcp.

MCP: CWL toolsets

No API key needed for MCP import, list, or call — only for chat/ask with an LLM.

  • Import (creates toolset under ~/.config/coala/mcps/<TOOLSET>/ and registers server):
    coala mcp-import <TOOLSET> <SOURCES...> or alias coala mcp ...
    SOURCES: local .cwl files, a .zip, or http(s) URLs to a .cwl or .zip.
    Requires the coala package where the MCP server runs (for run_mcp.py).

  • List
    coala mcp-list — list server names.
    coala mcp-list <SERVER_NAME> — print each tool’s schema (name, description, inputSchema).

  • Call
    coala mcp-call <SERVER>.<TOOL> --args '<JSON>'
    Example: coala mcp-call gene-variant.ncbi_datasets_gene --args '{"data": [{"gene": "TP53", "taxon": "human"}]}'

Skills

  • Import (into ~/.config/coala/skills/, one subfolder per source):
    coala skill <SOURCES...>
    SOURCES: GitHub tree URL (e.g. https://github.com/owner/repo/tree/main/skills), zip URL, or local zip/dir.

  • In chat
    /skill — list installed skills.
    /skill <name> — load skill from ~/.config/coala/skills/<name>/ (e.g. SKILL.md) into context.

Chat commands

  • /help, /exit, /quit, /clear
  • /tools — list MCP tools
  • /servers — list connected MCP servers
  • /skill — list skills; /skill <name> — load a skill
  • /model — show model info
  • /switch <provider> — switch provider

MCP on/off

  • All off: coala --no-mcp (or coala ask "..." --no-mcp).
  • One server off: remove its entry from ~/.config/coala/mcps/mcp_servers.json.
  • On: default when --no-mcp is not used; add or restore servers in mcp_servers.json.

Providers and env

Set provider via -p or env PROVIDER. Set keys and URLs per provider (e.g. OPENAI_API_KEY, GEMINI_API_KEY, OLLAMA_BASE_URL). Optional: put vars in ~/.config/coala/env.
coala config — print current config paths and provider/model info.