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Documentation Index

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Projects

Projects provide isolated configuration environments for different applications, clients, or use cases. Each user has a default project that is automatically created. API keys, widget apps, and tasks are scoped to specific projects. Projects belong to an organization, enabling team collaboration with role-based access control.

Why Use Projects?

Environment Isolation

Keep development, staging, and production configurations completely separate

Multi-tenant Support

Create separate projects for different clients or applications

MCP Server Scoping

Configure different MCP servers per project for different integrations

Independent Policies

Set tool approval policies per project based on trust level

Project Structure

Each project contains:
  • MCP Servers - Model Context Protocol server configurations
  • Skills - Custom agent skills and behaviors
  • Settings - Model selection, auto-execute mode, workspace paths
  • Tool Policies - Per-tool approval policies
  • Subagents - Enable/disable built-in subagent capabilities
  • Prompts - Custom system prompt additions
  • API Keys - Scoped to this project only
  • Widget Apps - Scoped to this project only
  • Conversations - Chat conversations scoped to this project

How to Organize Your Projects

The right project structure depends on your organization. The key principle: each project defines what the agent can access and what it’s allowed to do. Different teams, audiences, and risk profiles should map to different projects. Here is how a typical company sets up 3 projects to cover customer-facing, internal operations, and business intelligence use cases.

Project 1: Customer-Facing Support Agent

Audience: Your end customers, interacting via the embedded widget on your website or app. What the agent does: Handles order inquiries, processes returns, issues refunds, sends confirmation emails — the routine 60–70% of support volume that doesn’t require human judgment.
ConfigurationDetails
MCP ServersOrder management API, payment gateway (Stripe/Adyen), fulfillment system, email service (SendGrid/SES)
SkillsReturn processing, order status lookup, shipping inquiry, refund request
Tool PoliciesStrict — read operations auto-approved; refunds above a threshold require human approval; no direct database access
Widget AppsConfigured with allowed origins for your storefront domain(s)
ModelCost-optimized (e.g., Gemini Flash) — most interactions follow predictable patterns
PromptsInclude your return policy, shipping SLAs, and escalation rules in the system prompt
Why a separate project: Customer-facing agents need the tightest controls. They should only access customer-relevant systems (orders, payments, email) and never reach internal tools like your CRM, monitoring, or data warehouse. Strict tool policies prevent the agent from taking destructive actions without approval.

Project 2: Revenue Operations

Audience: Sales reps, customer success managers, and marketing ops, interacting via the widget embedded in your CRM dashboard or internal tools portal. What the agent does: Prepares call briefings by pulling data from CRM, email, support, and analytics. Runs churn risk analysis across account portfolios. Sets up scheduled alerts for pipeline changes and campaign performance. Drafts outreach emails for at-risk accounts.
ConfigurationDetails
MCP ServersCRM (HubSpot/Salesforce), email platform (Gmail/Outlook API), ticketing system (Zendesk/Intercom), analytics (Mixpanel/Amplitude), Slack
SkillsCall prep briefing, churn risk analysis, campaign performance report, account health check
Tool PoliciesMedium — read operations across all connected systems auto-approved; write operations (sending emails, creating tickets, posting to Slack) require approval
Scheduled TasksWeekly churn risk scans posted to #cs-alerts, daily pipeline summary to #sales
ModelBalanced (e.g., Claude Sonnet) — synthesis quality matters for briefings and analysis
PromptsInclude your sales methodology, ideal customer profile, and churn risk indicators
Why a separate project: Internal teams need broader data access (CRM, analytics, support history) than customers should ever see. But they still need approval gates on write operations — you don’t want the agent sending emails or posting to Slack without a human confirming the content first.

Project 3: Business Intelligence & Reporting

Audience: Business analysts, department heads, and executive team, interacting via the widget on an internal BI dashboard or analytics portal. What the agent does: Runs ad-hoc data analysis against your data warehouse. Generates executive summaries with charts and visualizations. Monitors KPIs and posts automated reports. Processes uploaded spreadsheets and CSVs to produce consolidated reports and anomaly detection.
ConfigurationDetails
MCP ServersData warehouse (BigQuery/Snowflake), BI platform (Looker/Tableau API), ERP system, Slack
SkillsKPI dashboard generation, ad-hoc SQL analysis, monthly board report, anomaly detection
Tool PoliciesRead-heavy — data queries and report generation auto-approved; report distribution (email, Slack) requires approval
Scheduled TasksDaily KPI summary to #exec-dashboard, weekly department reports, monthly board prep
ModelMost capable (e.g., Claude Opus) — complex analytical reasoning and accurate number-crunching are critical
PromptsInclude your KPI definitions, reporting standards, department structure, and fiscal calendar
Why a separate project: Analysts and executives need direct access to your data warehouse and BI tools — systems that neither customers nor the sales team should reach. The agent runs SQL queries and Python analysis in the sandbox, which requires a more capable model. Scheduled tasks automate the recurring reports that currently consume hours of analyst time every week.

Example Organization

ProjectAudienceWidget LocationMCP ServersApproval PolicyModel
customer-supportEnd customersStorefront / appOrders, Payments, EmailStrictCost-optimized
revenue-opsSales, CS, MarketingCRM sidebarCRM, Email, Analytics, SlackMediumBalanced
business-intelAnalysts, ExecutivesBI dashboardData warehouse, BI, ERP, SlackRead-permissiveMost capable
dev-sandboxDevelopers (testing)LocalhostAll (testing)None (auto-approve)Any
The dev-sandbox project is optional but recommended. Use it for testing new MCP integrations, experimenting with skills, and validating tool policies before promoting configurations to production projects.

Team Collaboration

Projects live inside an organization. Every user belongs to one organization, and all projects are scoped to that organization. This enables team-based access control with two levels of roles.

Organization Roles

RoleDescription
AdminFull access to all projects, can invite/remove members, change roles, rename the organization
MemberCan only access projects they’ve been explicitly added to
When you sign up, a personal organization is automatically created with you as the admin. You can then invite team members via email from the Console.

Project-Level Access

Organization admins have implicit admin access to every project. For regular members, access is granted per-project:
Project RoleCapabilities
Project AdminManage project members, full configuration access
Project MemberUse the project (chat, tasks), view configuration
To manage project members, go to the Members tab in the project settings on the Console.

Invitation Flow

  1. An org admin sends an invite from the Console — an email is sent with a registration link
  2. The invited person registers using the link — their email is pre-filled and they automatically join the organization
  3. The admin then grants the new member access to specific projects
Regular org members who haven’t been assigned to any project will see a “No Project Access” message in the Chat UI until an admin grants them project access.

Design Principles

When deciding how to split your projects, follow these guidelines:
  • Separate by audience. Different user groups need different MCP servers, tool policies, and models. A customer should never share a project with your engineering team.
  • Separate by risk profile. Customer-facing projects need strict approval policies. Internal analytics projects can be more permissive for read operations. Match the controls to the blast radius.
  • Separate by data access. A project’s MCP servers define what the agent can reach. Don’t give the customer support agent access to your data warehouse. Don’t give the BI agent access to your payment gateway.
  • Least privilege by default. API keys, conversations, widget apps, and scheduled tasks don’t cross project boundaries. Regular org members only see projects they’ve been explicitly granted access to.
  • Start with one, split when needed. Begin with a single project for your primary use case. Add projects as you onboard new teams or audiences with different requirements.

Default Project

Every user has a default project that is automatically created. When using legacy endpoints (like POST /api/users/:username/api-keys), resources are automatically assigned to the default project.

Getting Started

1

Create a project

Open the Console and create a new project. Give it a descriptive name like customer-support or revenue-ops.
2

Configure MCP servers

Add the MCP servers for the external systems the agent needs to access. Use dynamic token injection to pass credentials securely per-request.
3

Set tool policies and skills

Define which tool actions require human approval and add any custom skills that encode your team’s workflows.
4

Generate credentials

Create an API key for programmatic access or a widget app for embedded chat. Both are scoped to this project.