Every system your agent touches means auth flows, schemas, rate limits, and retries you didn't sign up to maintain. Set up access and integrations once · get one MCP server that carries all of them · and offer the same integrations onward to your customers, through your app.
The integration layer your roadmap keeps paying for, handled. Set up access once, point your agent at one endpoint, and offer the same integrations onward to your customers through your app.
Credentials resolved here · never in your code
Salesforcesales_read
Snowflakeanalytics_ro
Postgresapp_read
Jiraissues_readDatabases, warehouses, and SaaS behind one endpoint and one tool surface · no per-system MCP sprawl. Scoped credentials are granted and revoked live, per user, and never enter model context.
Secure connections# The work runs here, not in the prompt.$ mp.run("slipped_deals.sql")→ salesforce_opportunities 18 rows→ jira_issues 64 rows✓ slipped_deals_joined 14 rows$ mp.preview("result#7c21")# Your code gets 14 rows · not 82.▍
When your agent needs to join or refine data, the work happens in code first and the model sees results. Large outputs stay as result handles instead of flooding the prompt.
Governed workspaceWritten as your code runs · not reconstructed after
Every call carries identity, scope, and request context. The integration layer arrives with its own audit trail, so you are not building one after the fact.
Trust and governanceIntegration work collapses to setup. The gateway handles auth, routing, and access control behind one MCP endpoint.
Set up access and integrations in one place · scoped credentials, ready for testing.
Point your agent at one MCP server. Every integration behind it, uniform verbs across systems.
Embed the same integrations in your product · your customers inherit them, access-controlled.
A LangGraph workflow points at a single MCP server. Salesforce, Postgres, Zendesk and Stripe are all behind it, with the same verbs and no per-system auth code to maintain.
A SaaS product offers the catalog onward to its own end users. Each customer's access is scoped to them, and setup and auth stay ours to run.
A join across CRM and the warehouse runs in the workspace and returns 14 rows instead of 82. The agent reasons over the result, not the raw records.
No. The Agent SDK is for agents and agentic apps built in code; One MCP is the assistant-facing surface over the same gateway. Same connections, same scopes, same audit trail either way.
No. The Agent Console can own provisioning, consent, and sharing while your code consumes the connections that are already visible to it.
Yes. LiveConnect is extensible · you can author connectors against any system with an API or database driver. For Enterprise customers we also build new connectors as part of the engagement.
Same data gateway, same governance model. What changes is who is driving and where the work is written.
Governed connections, managed execution, and audit inside the agent you ship.
Read the Agent SDK pageOne MCPOne governed tool surface that Claude, ChatGPT, Cursor, and Copilot can use.
Read the One MCP pageLiveConnect100+ live enterprise systems behind the same six verbs, scoped per user and agent.
Read the LiveConnect pageAgent ConsoleProvision access, review what agents did, and hold the controls in one place.
Read the Agent Console page
Connect your first system and serve it through one MCP endpoint · in minutes, not sprints.
