The seats are bought · Claude or ChatGPT is approved. What stands between you and rollout is the integration list: every system its own MCP server, its own security review, its own credential story. The gateway collapses that to one · and grounds every answer in your data.
Everything between bought seats and a working rollout. One connection point for every assistant your workforce runs · not a security program per system.
Claude
ChatGPT
CursorCredentials resolved here · never in model context
Salesforcesales_read
Snowflakeanalytics_ro
Postgresapp_read
Jiraissues_readClaude, ChatGPT, Copilot and Cursor reach the same governed integrations through one MCP server · one credential boundary and one audit surface to review, not fifty vendor reviews.
Secure connections# The assistant calls a tool, not the database.▸ tool marcopolo.run_query→ salesforce_opportunities 18 rows→ jira_issues 64 rows✓ slipped_deals_joined 14 rows▸ tool marcopolo.preview# The model reads 14 rows · not 82.▍
Agents work on data in code before anything reaches context, so answers stay grounded in your systems at a fraction of the tokens a raw-record approach would burn.
Governed workspaceEvery assistant call lands in the same trail
SSO and SCIM cascade from your IdP. Access is granted, scoped, and revoked per user from one console, and every action lands in the same trail.
Trust and governanceOne connection point for every assistant your workforce runs · not a security program per system.
Every system arrives through one MCP server your assistants already speak.
One credential boundary and one audit surface · a single security review to sign off.
Access granted, scoped, and revoked per user · managed from one place.
The integration list arrives as a single credential boundary. Security reviews one architecture instead of one vendor per system, and signs off once.
The assistants the workforce already has keep their interface. What changes is that each one reaches approved systems through the same governed server.
A joiner gets scoped access from the IdP cascade; a leaver loses it immediately, across every assistant, without touching each system.
No. MCP-compatible assistants · Claude, ChatGPT, Cursor, Copilot · connect to the same governed server. The seats you approved keep working; what changes is what they can safely reach.
One. Native MCPs mean one server, tool definition, credential, and review per system. Routing every system through one gateway gives security a single credential boundary and a single audit surface to assess.
SSO and SCIM cascades govern who can provision connections and who can use them. Grants are scoped per identity and revocation propagates instantly across every AI surface the user has access to.
Same data gateway, same governance model. What changes is who is driving and where the work is written.
One governed tool surface that Claude, ChatGPT, Cursor, and Copilot can use.
Read the One MCP pageAgent ConsoleProvision access, review what agents did, and hold the controls in one place.
Read the Agent Console pageLiveConnect100+ live enterprise systems behind the same six verbs, scoped per user and agent.
Read the LiveConnect pageAdaptive ContextA knowledge map per connection: schema, business rules, and joins that already worked.
Read the Adaptive Context page
Bring the integration list to one discovery call · leave with a rollout plan your security team can sign.
