Ask questions about your Mattermost workspace using natural language
Project description
mattermind
Ask natural-language questions about your Mattermost workspace using LLM tool-calling.
Features
- 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)
Installation
uv tool install mattermind
# or from source:
uv sync --extra dev
Quick Start
# 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 .answer
Authentication
Mattermind supports two authentication methods:
Token (recommended for SSO environments):
mattermind login
# Follow the instructions to copy MMAUTHTOKEN from browser DevTools
Or set in config:
mattermost:
token: ${MM_TOKEN}
Login / Password:
mattermost:
login: user@company.com
password: ${MM_PASSWORD}
Configuration
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
show_token_usage: true
show_timings: true
Environment Variables
| 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) |
Commands
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 file
mattermind version Print version
Global flags
-c / --config PATH Path to config YAML file
-v / --verbose Enable verbose output (shows tool calls)
-q / --quiet Suppress banner and status lines
--json Output result as JSON (machine-readable)
--no-color Disable colour output
Development
make install # install deps
make fmt # format + fix lint
make check # lint + type-check
make test # run unit tests with coverage
Architecture
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
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