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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
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将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
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/coala/mcps/
mcp_servers.json — server definitions<toolset>/ — per-toolset dirs with run_mcp.py and CWL files~/.config/coala/skills/ (one subfolder per imported source)~/.config/coala/env (optional; key=value for providers and MCP env)Init (first time)
coala init — creates ~/.config/coala/mcps/mcp_servers.json and env.
Set API key
e.g. export OPENAI_API_KEY=... or export GEMINI_API_KEY=.... Ollama needs no key.
Chat
coala or coala chat — interactive chat with MCP tools.
coala ask "question" — single prompt with MCP.
Options
-p, --provider (openai|gemini|ollama|custom), -m, --model, --no-mcp.
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"}]}'
~/.config/coala/skills/, one subfolder per source):coala skill <SOURCES...>https://github.com/owner/repo/tree/main/skills), zip URL, or local zip/d...这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
# 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...>`
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