/install coala
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\x3Ctoolset>/— per-toolset dirs withrun_mcp.pyand 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
-
Init (first time)
coala init— creates~/.config/coala/mcps/mcp_servers.jsonandenv. -
Set API key
e.g.export OPENAI_API_KEY=...orexport GEMINI_API_KEY=.... Ollama needs no key. -
Chat
coalaorcoala chat— interactive chat with MCP tools.
coala ask "question"— single prompt with MCP. -
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/\x3CTOOLSET>/and registers server):
coala mcp-import \x3CTOOLSET> \x3CSOURCES...>or aliascoala mcp ...
SOURCES: local.cwlfiles, a.zip, or http(s) URLs to a .cwl or .zip.
Requires thecoalapackage where the MCP server runs (forrun_mcp.py). -
List
coala mcp-list— list server names.
coala mcp-list \x3CSERVER_NAME>— print each tool’s schema (name, description, inputSchema). -
Call
coala mcp-call \x3CSERVER>.\x3CTOOL> --args '\x3CJSON>'
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 \x3CSOURCES...>
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 \x3Cname>— load skill from~/.config/coala/skills/\x3Cname>/(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 \x3Cname>— load a skill/model— show model info/switch \x3Cprovider>— switch provider
MCP on/off
- All off:
coala --no-mcp(orcoala ask "..." --no-mcp). - One server off: remove its entry from
~/.config/coala/mcps/mcp_servers.json. - On: default when
--no-mcpis not used; add or restore servers inmcp_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.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install coala - After installation, invoke the skill by name or use
/coala - Provide required inputs per the skill's parameter spec and get structured output
What is Coala Client?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 623 downloads so far.
How do I install Coala Client?
Run "/install coala" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Coala Client free?
Yes, Coala Client is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Coala Client support?
Coala Client is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Coala Client?
It is built and maintained by qhu (@hubentu); the current version is v0.1.2.