LexQ — the Decision Operations Platform for engineering teams
RemoteAbout LexQ — the Decision Operations Platform for engineering teams
LexQ CLI provides engineering teams with a command-line and MCP interface for managing business rules outside application deployments. MCP-compatible agents can edit policies and rules, run simulations, and deploy versions, with destructive actions marked for client approval.
Key features
- 01Manage policy groups, versions, and rules
- 02Run simulations and replays
- 03Deploy, roll back, or undeploy versions
- 04Read execution history
- 05Use hosted or local MCP server
Use cases
- 01Change pricing or eligibility rules without an app release
- 02Test rule changes against past executions
- 03Review execution records through an agent
- 04Manage policy versions from a CLI or MCP client
MCP support
LexQ offers a hosted Streamable HTTP endpoint and a local stdio MCP server through `lexq serve --mcp`. Its tools let clients manage policy data, run simulations and replays, deploy versions, and inspect execution history.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.lexq.io/mcpclaude mcp add --transport http lexq-cli https://mcp.lexq.io/mcp{"mcpServers":{"lexq-cli":{"type":"http","url":"https://mcp.lexq.io/mcp"}}}Open in Cursor{"servers":{"lexq-cli":{"type":"http","url":"https://mcp.lexq.io/mcp"}}}Open in VS Code{"mcpServers":{"lexq-cli":{"type":"http","url":"https://mcp.lexq.io/mcp"}}}{"mcpServers":{"lexq-cli":{"serverUrl":"https://mcp.lexq.io/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
77This tool takes no parameters.
Details
From the project READMELexQ CLI
The Decision Operations Platform for engineering teams. CLI and MCP server for LexQ. Move business rules out of your deploy pipeline, prove every change with Impact Simulation, and ship without a git push.
Website · Docs · Console · MCP Registry
Why LexQ?
Your business rules, such as pricing, promotions, fee logic, and eligibility checks, change often. But every change ships through the same PR → review → staging → deploy cycle as your core application code, so even a small change waits for the next release.
LexQ keeps those rules out of your code. Your service calls the LexQ API to evaluate them. You change rules in a visual console or through this CLI, test each change with Impact Simulation against past executions or a dataset you upload, and deploy them without an application release.
Every decision leaves a full audit trail.
Install
npm install -g @lexq/cli
Or run without installing:
npx @lexq/cli
Requires Node.js 22+.
Quick Start
# 1. Authenticate
lexq auth login
# Enter your API key (create one with the Manage scope at console.lexq.io → Management → API Keys)
# 2. Verify
lexq auth whoami
# 3. Start from a domain template — provisions facts, sample rules, and a policy group
lexq domain-templates list
lexq domain-templates apply --template ECOMMERCE
# Returns: policyGroupId, policyVersionId, factsCreated, rulesCreated
# 4. Test a rule against your data before shipping
lexq analytics dry-run --version-id <VERSION_ID> --debug \
--json '{"facts":{"loyaltyTier":"PLATINUM","purchaseSubtotalUsd":150}}'
# 5. Deploy
lexq deploy publish --group-id <GROUP_ID> --version-id <VERSION_ID> --memo "v1"
lexq deploy live --group-id <GROUP_ID> --version-id <VERSION_ID> --memo "Initial deploy"
For AI Agents
Claude, Cursor, and other MCP-compatible agents can use the Model Context Protocol to manage policy groups, versions, rules, and facts, run simulations and replays, deploy versions, and read execution history.
Approval happens in your MCP client, which decides which tool calls you confirm. The deploy, rollback, and undeploy tools are marked as destructive, so a client can ask you before running them.
Claude.ai (cloud, no install)
- Customize → Connectors → + Add → Add custom connector
- Name it, enter
https://mcp.lexq.io, and choose Sign in now - On the LexQ page that opens, sign in and generate a new API key for MCP, or choose I already have an API key and paste an existing one
- The tools are now available in every conversation
Remote (Streamable HTTP)
For any MCP client that supports remote servers:
{
"mcpServers": {
"lexq": {
"url": "https://mcp.lexq.io"
}
}
}
OAuth 2.1 authentication is handled automatically by your client.
Local (stdio)
Run LexQ CLI as a local MCP server:
lexq serve --mcp
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"lexq": {
"command": "npx",
"args": [
"-y",
"@lexq/cli",
"serve",
"--mcp"
]
}
}
}
VS Code / Cursor
.vscode/mcp.json:
{
"servers": {
"lexq": {
"command": "npx",
"args": [
"-y",
"@lexq/cli",
"serve",
"--mcp"
]
}
}
}
Prerequisite:
lexq auth loginmust have been run once to store an API key in~/.lexq/config.json, orLEXQ_API_KEYmust be set in the client's environment block.
Registry
The server is listed on the official MCP Registry as io.lexq/lexq. Clients that
browse the registry find both the npm package and the hosted endpoint in that one entry.
Protocol Support
The local stdio server and the hosted Streamable HTTP endpoint both serve two MCP revisions from one set of tool definitions, so a client sees the same tools either way.
| Revision | How a client reaches it |
|---|---|
2026-07-28 | A per-request _meta envelope. No handshake. |
2025-11-25 | The initialize handshake. |
There is nothing to configure. The server answers in whichever revision the opening message used, so a client can move to 2026-07-28 on its own schedule and one that has not moved keeps working.
AI Agent Skills
LexQ CLI ships with AI Agent Skills: structured documentation that tells agents how to use each tool.
skills/
├── lexq-shared/SKILL.md Core concepts, auth, workflow
├── lexq-groups/SKILL.md Policy groups, conflict resolution, A/B testing
├── lexq-rules/SKILL.md Condition syntax, action types, mutex
├── lexq-simulation/SKILL.md Dry run, Impact Simulation, compare
├── lexq-execution/SKILL.md History, stats, failure logs, provenance, replay, latency profile
└── lexq-recipes/SKILL.md End-to-end recipes
.claude/CLAUDE.md Claude Code project context
AGENTS.md Universal agent guide (Cursor, Windsurf, Gemini CLI, Cline)
CONTEXT.md Platform architecture & glossary
After installing @lexq/cli, agents can read skills from:
node_modules/@lexq/cli/skills/
node_modules/@lexq/cli/AGENTS.md
node_modules/@lexq/cli/CONTEXT.md
Commands
lexq auth login | logout | whoami
lexq status API health check
lexq serve Run as MCP stdio server (--mcp)
lexq groups list | get | create | update | delete | reorder
lexq groups ab-test start | stop | adjust
lexq versions list | get | create | update | delete | clone
lexq rules list | get | create | update | delete | reorder | toggle
lexq facts list | create | update | delete | action-metadata | unregistered
lexq domain-templates list | preview | apply
lexq deploy publish | live | rollback | undeploy | history | detail | overview | deployable | diff | schedule | unschedule | schedules
lexq analytics dry-run | dry-run-compare | requirements
lexq analytics simulation start | status | list | cancel | export
lexq analytics dataset upload | template
lexq profile <groupId> — per-rule latency profile
lexq history list | get | stats
lexq replay decision | start | list | get | cancel
lexq logs list | get | action | bulk-action
lexq provenance get | reveal-audits
lexq webhook-subscriptions list | get | save | delete | test
Global Options
| Flag | Description |
|---|---|
--format <json|table> | Output format (default: json) |
--api-key <key> | Override stored API key |
--base-url <url> | Override API base URL |
--dry-run | Preview the HTTP request without executing |
--verbose | Show request/response details |
--no-color | Disable colored output |
Configuration
Config is stored at ~/.lexq/config.json:
{
"apiKey": "YOUR_API_KEY",
"baseUrl": "https://api.lexq.io/api/v1/partners",
"format": "json"
}
The file holds an API key in plain text. It is saved with mode 0600 inside a 0700
directory, so only its owner can read it. If an older version created it with looser
permissions, the CLI tightens them the next time it saves the file.
Environment variables
These are read by the MCP server (lexq serve --mcp) and take precedence over the stored
config. They let an editor or CI target an environment through the client's own config block,
without writing to ~/.lexq/config.json. CLI commands use --api-key and --base-url instead.
| Variable | Overrides |
|---|---|
LEXQ_API_KEY | apiKey |
PARTNER_BASE_URL | baseUrl |
Development
git clone https://github.com/lexq-io/lexq-cli.git
cd lexq-cli
pnpm install
pnpm build
pnpm start -- groups list
pnpm typecheck # Type check
pnpm lint # ESLint
pnpm build # Bundle to dist/
Checks that guard a stated fact against the thing that owns it. All of them run in CI.
pnpm enums:check # Generated enums match the engine contract
pnpm prose:check # Numbers and code tables in prose match the contract
pnpm ab-key:check # Tool descriptions still name the A/B traffic key
pnpm surface:check # Nothing internal reached a public file
pnpm registry:check # server.json agrees with package.json and src/mcp/server-info.json
pnpm schemas:check # tools/list matches the recorded snapshot (needs a build)
pnpm test:fact-key # Fact key grammar
pnpm test:decimals # Metric precision display
pnpm test:export-format # Export byte fidelity
pnpm protocol:check # README matches the revisions the server serves
Security
Report a vulnerability through GitHub's private reporting form. The policy, including what is in scope, is in SECURITY.md.
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.