Ask natural-language questions about your Mattermost workspace using LLM tool-calling.
Tip
Building this with an AI assistant? Hand it one page instead of the whole site: every command and flag, every configuration key and its default, the four tools the model is given, the rules that break a run when they are broken, the mistakes assistants actually make with this CLI, and a map of which page to fetch for the rest. Every docs page is also served as raw Markdown at its own URL, and a Copy page button at the top of each one hands it straight to a chat window.
- Full-text search across your Mattermost team via the REST API v4
- Agentic loop with tool calling (search, get thread, resolve permalink, look up users)
- Follows permalink chains up to a configurable depth
- Cites every claim with clickable permalink links
- Rich terminal UI with progress, answer rendering, and token usage summary
- Interactive TUI chat interface (
mattermind chat) - JSON output mode for scripting (
--json) - Token budget protection with interactive continue prompt
- SSO-compatible: authenticate via session token (MMAUTHTOKEN) or login/password
- Self-signed certificate support (
verify_ssl: false) - Interactive setup wizard (
mattermind init)
uv tool install mattermind
# or from source:
uv sync --extra dev# Interactive setup
mattermind init
# Or: save your Mattermost session token
mattermind login
# List available teams and save your choice
mattermind teams
# Ask a question
mattermind ask "What was decided about the auth service migration?"
# Interactive TUI chat
mattermind chat
# JSON output
mattermind ask "latest incidents?" --json | jq .answerMattermind supports two authentication methods:
Token (recommended for SSO environments):
mattermind login
# Follow the instructions to copy MMAUTHTOKEN from browser DevToolsOr set in config:
mattermost:
token: ${MM_TOKEN}Login / Password:
mattermost:
login: user@company.com
password: ${MM_PASSWORD}Priority (lowest to highest): defaults → ~/.config/mattermind/config.yaml → env vars → CLI flags.
# ~/.config/mattermind/config.yaml
mattermost:
url: https://mm.company.com
token: ${MM_TOKEN} # env interpolation supported
team: engineering
verify_ssl: true # set false for self-signed certs
llm:
base_url: https://api.openai.com/v1
api_key: ${OPENAI_API_KEY}
model: gpt-4o-mini
verify_ssl: true
agent:
max_iterations: 15
total_token_budget: 200000
max_threads_per_query: 20
output:
format: markdown # markdown | plain | json
show_thread_tree: true
show_token_usage: true
show_timings: true
logging:
level: INFO # DEBUG | INFO | WARNING | ERROR | CRITICALUnknown keys are rejected rather than ignored, so a typo fails validation with the key named in the error.
| Variable | Description |
|---|---|
MATTERMIND_MM_URL |
Mattermost server URL |
MATTERMIND_MM_TOKEN |
Personal Access Token / MMAUTHTOKEN |
MATTERMIND_MM_LOGIN |
Login (email or username) |
MATTERMIND_MM_PASSWORD |
Password |
MATTERMIND_TEAM |
Team slug |
MATTERMIND_MM_VERIFY_SSL |
Verify Mattermost TLS (true/false) |
MATTERMIND_LLM_BASE_URL |
LLM API base URL (OpenAI-compatible) |
MATTERMIND_LLM_API_KEY |
LLM API key |
MATTERMIND_MODEL |
Model name |
MATTERMIND_LLM_VERIFY_SSL |
Verify LLM gateway TLS (true/false) |
mattermind ask <question> Ask a question about your Mattermost workspace
mattermind chat Launch interactive TUI chat interface
mattermind teams List available teams and save your selection
mattermind login Save a session token (MMAUTHTOKEN) to config
mattermind init Interactive config setup wizard
mattermind config show Print resolved config (secrets masked)
mattermind config validate Validate config and check both endpoints are reachable
mattermind version Print version
Accepted before or after the subcommand:
-c / --config PATH Path to config YAML file
-v / --verbose Enable verbose output (shows tool calls)
-q / --quiet Print the answer as plain text, without the UI chrome
--json Output result as JSON (machine-readable)
--no-color Disable colour output
make install # install deps
make fmt # format + fix lint
make check # lint + type-check
make test # run unit tests with coverage
make test-all # unit + integration tests (needs a real MM and LLM)src/mattermind/
├── cli/ — Typer CLI app, commands, app context
├── config/ — Pydantic models, YAML loader, env interpolation, wizard
├── mattermost/ — Async httpx client, Mattermost REST API v4, domain models
├── agent/ — Agentic loop, tool definitions, system prompt, state
└── ui/ — Rich rendering, Textual TUI, error panels