Scoped workspaces
Create a workspace per customer, team, project, or agent so credentials, integrations, state, approvals, and audit stay isolated.
Weavz
Weavz provides governed app access for AI agents, connecting approved business apps, files, state, approvals, and audit inside scoped workspaces. It serves SaaS builders, operators, and teams using ChatGPT, Claude, Cursor, or other MCP clients.
What Weavz does
Weavz is a governed app access layer for AI agents and SaaS products. It sits between an agent and the business apps it needs to use, so teams can grant scoped access to approved tools, credentials, files, state, approvals, and audit trails inside a workspace boundary.
The product is designed for both embedded workflows and direct client use. Builders can provision customer workspaces, connect users, mount app aliases, issue scoped MCP endpoints or API access, and then let agents act through tools such as Gmail, Slack, HubSpot, Salesforce, Sheets, browser control, and sandbox execution.
Core capabilities
MCP and API execution
Expose approved app actions through hosted MCP servers and API actions so agents can search, read typed APIs, and execute tasks.
Hosted account connection
Use Hosted Connect so end users can authorize OAuth, API key, and customer-owned accounts inside the flow.
Approvals and input controls
Apply Human Gates and input partials to pause sensitive actions, prefill defaults, and hide preset fields from tool schemas.
Files and state management
Persist files and state with Filesystem and State KV primitives, including workspace, end-user, and external scopes.
Multiple access paths
Work from the AI client or runtime you already use, including ChatGPT, Claude, Cursor, coding agents, SDKs, CLI, and dashboard.
Common ways teams use Weavz
Embed agent access in a SaaS product
SaaS builders can provision a customer workspace, connect the user’s accounts, and hand an agent a scoped MCP endpoint for customer-specific automation.
Use ChatGPT or Claude with approved business apps
Operators can connect a single governed workspace to an AI client and ask it to work across approved apps such as email, chat, CRM, docs, and spreadsheets.
Support agentic development workflows
Engineering and product teams can issue scoped tokens and MCP access to coding agents so they can call typed APIs, read app data, and complete multi-step tasks.
Add approvals to sensitive workflows
Teams that need reviewable actions can use Human Gates to stop sensitive operations before they run, then resume after approval.
Maintain durable files and state
Products that need persistent context can keep files and state in workspace-scoped primitives so later steps can continue from prior outputs.
Pros and Cons
Pros
- Supports both embedded product workflows and direct use from common AI clients.
- Provides governed access with workspace scoping, approvals, files, state, and audit.
- Includes hosted MCP and API-driven setup paths for builders and operators.
- Offers clear public pricing tiers and a free plan, with Enterprise available by contract.
- Lets teams keep customer app connections behind a controlled authorization flow.
Cons
- The source material is stronger on platform workflow and pricing than on a fully detailed integration catalog.
- Some product limits and comparisons are only described at a high level, so edge-case constraints are not fully documented here.
FAQ
What is Weavz used for?
Weavz provides a governed app access layer for AI agents. It lets teams and product builders connect clients such as ChatGPT, Claude, Cursor, and other MCP clients to approved apps, files, state, approvals, and audit trails through a scoped workspace.
How do teams set up Weavz?
The source shows setup options through the API, SDK, CLI, dashboard, and hosted connector flows. You can create workspaces, register end users, generate connect links, and issue scoped MCP or API access for agents.
Which AI clients can connect to Weavz?
Weavz can be used with ChatGPT, Claude, Codex, Cursor, Claude Code, VS Code, Cline, Gemini CLI, OpenCode, and custom remote MCP clients, according to the site.
Does Weavz have paid plans?
The pricing page lists Free, Pro, Team, Scale, and Enterprise plans. Paid plans add higher capacity and additional support, while Enterprise is custom and handled by contract.
Quick Facts
- Category
- AI infrastructure
- Primary use
- Governed app access for AI agents
- Access methods
- API, SDK, CLI, dashboard, MCP clients
- Supported clients
- ChatGPT, Claude, Cursor, Codex, Claude Code, VS Code, Cline, Gemini CLI, OpenCode
- Pricing
- Free, Pro, Team, Scale, Enterprise
- Website
- weavz.io
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