Amazon

AWS

AWS Data Exchange MCP server

AWS Data Exchange MCP server

AWS Data Exchange MCP server

for Claude, ChatGPT, Cursor and your own agents

for Claude, ChatGPT, Cursor and your own agents

for Claude, ChatGPT, Cursor and your own agents

Expose AWS Data Exchange to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesnโ€™t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.

Expose AWS Data Exchange to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesnโ€™t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.

30

operation

s

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

30

operation

s

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

30

operation

s

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

Our customers scale automation with security built in.

Tools exposed by this MCP server

Every AWS Data Exchange operation, as an MCP tool

Every AWS Data Exchange operation, as an MCP tool

Each API operation becomes a tool your AI client can call. You decide which ones: allow reads, require approval before sensitive writes and block the rest. A few of the most used:

  • AWS Data Exchange

    AWS Data Exchange

    Create data set

    Create data set

  • AWS Data Exchange

    AWS Data Exchange

    Create job

    Create job

  • AWS Data Exchange

    AWS Data Exchange

    Create revision

    Create revision

  • AWS Data Exchange

    AWS Data Exchange

    Delete asset

    Delete asset

  • AWS Data Exchange

    AWS Data Exchange

    Delete data set

    Delete data set

  • AWS Data Exchange

    AWS Data Exchange

    Delete revision

    Delete revision

  • AWS Data Exchange

    AWS Data Exchange

    Get asset

    Get asset

  • AWS Data Exchange

    AWS Data Exchange

    Get data set

    Get data set

  • AWS Data Exchange

    AWS Data Exchange

    Get job

    Get job

  • AWS Data Exchange

    AWS Data Exchange

    Get revision

    Get revision

  • AWS Data Exchange

    AWS Data Exchange

    List data sets

    List data sets

  • AWS Data Exchange

    AWS Data Exchange

    List revision assets

    List revision assets

  • AWS Data Exchange

    AWS Data Exchange

    Start job

    Start job

  • AWS Data Exchange

    AWS Data Exchange

    Update asset

    Update asset

  • AWS Data Exchange

    AWS Data Exchange

    Update data set

    Update data set

  • AWS Data Exchange

    AWS Data Exchange

    Update revision

    Update revision

  • AWS Data Exchange

    Create data set

  • AWS Data Exchange

    Create job

  • AWS Data Exchange

    Create revision

  • AWS Data Exchange

    Delete asset

  • AWS Data Exchange

    Delete data set

  • AWS Data Exchange

    Delete revision

  • AWS Data Exchange

    Get asset

  • AWS Data Exchange

    Get data set

  • AWS Data Exchange

    Get job

  • AWS Data Exchange

    Get revision

  • AWS Data Exchange

    List data sets

  • AWS Data Exchange

    List revision assets

  • AWS Data Exchange

    Start job

  • AWS Data Exchange

    Update asset

  • AWS Data Exchange

    Update data set

  • AWS Data Exchange

    Update revision

  • AWS Data Exchange

    AWS Data Exchange

    Update revision

    Update revision

  • AWS Data Exchange

    AWS Data Exchange

    Update data set

    Update data set

  • AWS Data Exchange

    AWS Data Exchange

    Update asset

    Update asset

  • AWS Data Exchange

    AWS Data Exchange

    Start job

    Start job

  • AWS Data Exchange

    AWS Data Exchange

    List revision assets

    List revision assets

  • AWS Data Exchange

    AWS Data Exchange

    List data sets

    List data sets

  • AWS Data Exchange

    AWS Data Exchange

    Get revision

    Get revision

  • AWS Data Exchange

    AWS Data Exchange

    Get job

    Get job

  • AWS Data Exchange

    AWS Data Exchange

    Get data set

    Get data set

  • AWS Data Exchange

    AWS Data Exchange

    Get asset

    Get asset

  • AWS Data Exchange

    AWS Data Exchange

    Delete revision

    Delete revision

  • AWS Data Exchange

    AWS Data Exchange

    Delete data set

    Delete data set

  • AWS Data Exchange

    AWS Data Exchange

    Delete asset

    Delete asset

  • AWS Data Exchange

    AWS Data Exchange

    Create revision

    Create revision

  • AWS Data Exchange

    AWS Data Exchange

    Create job

    Create job

  • AWS Data Exchange

    AWS Data Exchange

    Create data set

    Create data set

  • AWS Data Exchange

    Update revision

  • AWS Data Exchange

    Update data set

  • AWS Data Exchange

    Update asset

  • AWS Data Exchange

    Start job

  • AWS Data Exchange

    List revision assets

  • AWS Data Exchange

    List data sets

  • AWS Data Exchange

    Get revision

  • AWS Data Exchange

    Get job

  • AWS Data Exchange

    Get data set

  • AWS Data Exchange

    Get asset

  • AWS Data Exchange

    Delete revision

  • AWS Data Exchange

    Delete data set

  • AWS Data Exchange

    Delete asset

  • AWS Data Exchange

    Create revision

  • AWS Data Exchange

    Create job

  • AWS Data Exchange

    Create data set

Connect AWS Data Exchange to your AI client in three steps.

01

Connect the service

Add AWS Data Exchange in Mindflow with its credentials. They stay in Mindflow and never reach the AI client.

02

Choose the tools

Pick the operations each AI client may call. Allow reads, require approval before sensitive writes and block the rest.

03

Connect your AI client

Point Claude, ChatGPT, Cursor or your own agent to your MCP Gateway endpoint, then check real calls in the audit log.

Use cases

Use cases

What your AI agents can do with AWS Data Exchange

What your AI agents can do with AWS Data Exchange

AI clients

Mindflow

AWS Data Exchange

โ†’ Automate data set lifecycle management by creating, updating, and deleting data sets to maintain up-to-date shared datasets across teams and partners   โ†’ Streamline revision control with automated creation, updating, and revocation of revisions to ensure subscribers have accurate and timely access   โ†’ Manage asset inventories within revisions by scheduling deletions and updates, maintaining data quality and relevance for consumers

โ†’ Automate data set lifecycle management by creating, updating, and deleting data sets to maintain up-to-date shared datasets across teams and partners   โ†’ Streamline revision control with automated creation, updating, and revocation of revisions to ensure subscribers have accurate and timely access   โ†’ Manage asset inventories within revisions by scheduling deletions and updates, maintaining data quality and relevance for consumers

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Load More

Every call goes through one governed endpoint.

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Your AI clients get access. You keep control.

Every call to AWS Data Exchange goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.

Every call to AWS Data Exchange goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.

AWS Data Exchange MCP server

Live

RBAC ยท SecOps

Scoped credentials

Audit log

Create data set

Allowed

Create job

Allowed

Create revision

Needs approval

Delete asset

Blocked

Every call logged ยท Export to SIEM

Put this MCP server to work.

Bring one AI client and the tools it needs. Weโ€™ll show you the setup in Mindflow, from scoped access to the audit log.

Put this MCP server to work.

Bring one AI client and the tools it needs. Weโ€™ll show you the setup in Mindflow, from scoped access to the audit log.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France