Overview
- Skill Key
- hubentu/coala
- Author
- hubentu
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/hubentu/coala
- Latest Commit SHA
- ed0d1d91ac300daf115f20d3b0e0d1b10f59281e
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.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 coala-client 技能。 若已安装,则直接安装 coala-client 技能。
# 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/d...
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