Looking for AI consulting services?Talk to the Padiso team
Model Context Protocol logo
Model Context Protocol

The MCP layer that connects your agents to everything

MCP is the common language between agents and the outside world. Padiso speaks it both ways, so connecting a tool once makes it available to your entire agent workforce, scoped and governed.

Padiso as an MCP server

A workspace-scoped MCP endpoint exposes your agents, tasks and projects to any MCP client, including Claude.ai, the CLI and your own apps.

Padiso as an MCP client

Your agents use any MCP server, API, database or internal service you connect, with one wiring shared across the whole team.

How the MCP layer works

  1. 1

    Expose a tool

    Add an MCP server, API, database or internal service to your workspace.

  2. 2

    Scope it

    Choose exactly which capabilities and data agents may use.

  3. 3

    Every agent can use it

    No per-agent wiring, the whole workforce reaches it instantly.

  4. 4

    Governed end to end

    Every call runs under budgets, approvals and an audit trail.

What teams use MCP for

Connect your SaaS stack

Slack, GitHub, Linear, Notion, Salesforce, Google Drive and more, reachable by every agent.

Act on your own data

Expose internal APIs and databases as MCP tools so agents can read and write safely.

Power external clients

The same MCP endpoint serves your dashboard, the CLI, and clients like Claude.ai.

Keep it governed

Scope capabilities, gate sensitive actions behind approvals, and log everything.

Connect the tools you already use

Hundreds of tools, models and clouds, all through one governed layer.

Scoped per workspaceApprovals on sensitive actionsFull audit trail

Run your business on agents.

Start free, or talk to us about putting an agent workforce to work across your operations.