Wato Gives Teams a Shared AI Workspace With Unified MCP, Permissions, and Audit Logs

Most teams using AI agents for real work run into the same problem: the person who figured out the right prompts, tools, and workflows can’t easily share that knowledge with teammates. Everything ends up in personal accounts, scattered chat threads, or local files. The next person starts from scratch.

Wato, a YC Spring 2026 company, is built around that specific problem. It provides a shared, permissioned AI workspace so teams can keep their agent workflows, knowledge, and tool configurations inside the organization instead of losing them to individual accounts.

What Wato does

Wato works through a single unified MCP connection. Teams add the Wato MCP once, and agents — whether Claude Desktop, Cursor, Claude Code, Codex, or any other MCP-compatible environment — get access to the team’s approved tools, shared memory, and reusable skills automatically.

The core components:

• Team memory: persistent knowledge that agents can draw on across sessions, so context built up over weeks doesn’t disappear
• Approved integrations and MCP tools: permissions set at org, team, per-user, and tool levels, so different teams can access different tools without every employee managing their own MCP setup
• Reusable skills and workflows: a shared library of prompts, playbooks, and agent instructions teams can standardize on
• Cloud agent sessions: teammates can view, continue, and hand off agent sessions rather than starting fresh
• Live artifacts and dashboards: AI-generated outputs that persist and update from approved data sources
• Tool-call tracing and audit logs: visibility into what agents accessed and produced

Who it is for

Wato is primarily useful for teams that are already running agents for real work — engineering, ops, sales, research, finance, support, or internal workflows — and need to share that work across a team rather than keeping it siloed per person.

A practical scenario: an ops team lead figures out that a specific prompt sequence plus a CRM MCP tool produces useful pre-call research. Without a shared workspace, that workflow lives in her personal account. With Wato, she publishes it as a reusable skill. The next person on the team starts from a proven baseline instead of zero.

The other target is teams thinking seriously about MCP governance. Wato handles who can use which tools, which agents can see which data, and logs what happened — something most teams are building ad hoc, if at all.

Limits and what to check

Wato is Spring 2026 YC — early stage. The feature set described above is the launch product, but availability, pricing, and specific integration support should be verified at watolabs.com before committing any team workflow to it. Early-stage AI infrastructure tools frequently change pricing, integration scope, and support tiers rapidly.

Teams with strict data residency or compliance requirements should check Wato’s security documentation before storing sensitive company knowledge in team memory. The audit logs and tracing features are promising for governance, but enterprise compliance specifics are not documented publicly at launch.

The unified MCP approach is genuinely useful for standardizing agent tooling across a team, but it also creates a single dependency point. If Wato is unavailable, all agent sessions using team tools are affected.

What to do now

If your team is actively setting up MCP configurations for multiple people and doing it inconsistently, Wato is worth evaluating. If your team’s AI use is still primarily individual and exploratory, the shared workspace adds overhead that probably isn’t worth it yet.

Request access at watolabs.com. For teams already running MCP-connected agents across tools, the permissions and tracing layer alone is worth the evaluation. For broader context on what AI agents can practically do for small teams today, see our overview of Claude for small business workflows.

Source: Wato YC Launch (ycombinator.com/launches) and official product documentation at watolabs.com. Discovery source: YC Launches. Final facts verified through official product site and YC company page.