Amazon

AWS

AWS Bedrock MCP server
AWS Bedrock MCP server
AWS Bedrock 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

Q: What is the AWS Bedrock MCP server?

It’s a Model Context Protocol server that exposes the AWS Bedrock API operations as tools. Claude, ChatGPT, Cursor or your own agents call them through the Mindflow MCP Gateway.

Q: Do I need an official MCP server from the vendor?

No. Mindflow exposes AWS Bedrock as an MCP server through its native connector, which covers the full API and stays current when the API changes.

Q: Which AI clients can use AWS Bedrock through MCP?

MCP-compatible clients such as Claude, ChatGPT, Cursor, Codex or your own agents. They connect to one governed endpoint, so changing clients doesn’t mean rebuilding access.

Q: How do I control what AI agents can do in AWS Bedrock?

In the MCP Gateway, choose the tools each client may call. Allow reads, require human approval before sensitive writes and block the rest. Credentials stay in Mindflow and every call is logged.

Q: Can the same connection power automated workflows?

Yes. The same AWS Bedrock connector runs in Mindflow flows and AI··Agents, so one connection serves your AI clients and your automations.

Expose AWS Bedrock to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’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.

Book a demo

See the integration

operation

available

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

Other services from this vendor:

Other services from this portfolio:

operation

available

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

Other services from this vendor:

Other services from this portfolio:

operation

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.

Read customer story

Tools exposed by this MCP server

Every AWS Bedrock 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 Bedrock
AWS Bedrock
Create model customization job
Create model customization job
AWS Bedrock
AWS Bedrock
Create provisioned model throughput
Create provisioned model throughput
AWS Bedrock
AWS Bedrock
Delete custom model
Delete custom model
AWS Bedrock
AWS Bedrock
Delete provisioned model throughput
Delete provisioned model throughput
AWS Bedrock
AWS Bedrock
Get custom model
Get custom model
AWS Bedrock
AWS Bedrock
Get foundation model
Get foundation model
AWS Bedrock
AWS Bedrock
Get model customization job
Get model customization job
AWS Bedrock
AWS Bedrock
Get provisioned model throughput
Get provisioned model throughput
AWS Bedrock
AWS Bedrock
List custom models
List custom models
AWS Bedrock
AWS Bedrock
List foundation models
List foundation models
AWS Bedrock
AWS Bedrock
List model customization jobs
List model customization jobs
AWS Bedrock
AWS Bedrock
List provisioned model throughputs
List provisioned model throughputs
AWS Bedrock
AWS Bedrock
List tags for resource
List tags for resource
AWS Bedrock
AWS Bedrock
Tag resource
Tag resource
AWS Bedrock
AWS Bedrock
Untag resource
Untag resource
AWS Bedrock
AWS Bedrock
Update provisioned model throughput
Update provisioned model throughput

AWS Bedrock
Create model customization job
AWS Bedrock
Create provisioned model throughput
AWS Bedrock
Delete custom model
AWS Bedrock
Delete provisioned model throughput
AWS Bedrock
Get custom model
AWS Bedrock
Get foundation model
AWS Bedrock
Get model customization job
AWS Bedrock
Get provisioned model throughput
AWS Bedrock
List custom models
AWS Bedrock
List foundation models
AWS Bedrock
List model customization jobs
AWS Bedrock
List provisioned model throughputs
AWS Bedrock
List tags for resource
AWS Bedrock
Tag resource
AWS Bedrock
Untag resource
AWS Bedrock
Update provisioned model throughput

AWS Bedrock
AWS Bedrock
Update provisioned model throughput
Update provisioned model throughput
AWS Bedrock
AWS Bedrock
Untag resource
Untag resource
AWS Bedrock
AWS Bedrock
Tag resource
Tag resource
AWS Bedrock
AWS Bedrock
List tags for resource
List tags for resource
AWS Bedrock
AWS Bedrock
List provisioned model throughputs
List provisioned model throughputs
AWS Bedrock
AWS Bedrock
List model customization jobs
List model customization jobs
AWS Bedrock
AWS Bedrock
List foundation models
List foundation models
AWS Bedrock
AWS Bedrock
List custom models
List custom models
AWS Bedrock
AWS Bedrock
Get provisioned model throughput
Get provisioned model throughput
AWS Bedrock
AWS Bedrock
Get model customization job
Get model customization job
AWS Bedrock
AWS Bedrock
Get foundation model
Get foundation model
AWS Bedrock
AWS Bedrock
Get custom model
Get custom model
AWS Bedrock
AWS Bedrock
Delete provisioned model throughput
Delete provisioned model throughput
AWS Bedrock
AWS Bedrock
Delete custom model
Delete custom model
AWS Bedrock
AWS Bedrock
Create provisioned model throughput
Create provisioned model throughput
AWS Bedrock
AWS Bedrock
Create model customization job
Create model customization job

AWS Bedrock
Update provisioned model throughput
AWS Bedrock
Untag resource
AWS Bedrock
Tag resource
AWS Bedrock
List tags for resource
AWS Bedrock
List provisioned model throughputs
AWS Bedrock
List model customization jobs
AWS Bedrock
List foundation models
AWS Bedrock
List custom models
AWS Bedrock
Get provisioned model throughput
AWS Bedrock
Get model customization job
AWS Bedrock
Get foundation model
AWS Bedrock
Get custom model
AWS Bedrock
Delete provisioned model throughput
AWS Bedrock
Delete custom model
AWS Bedrock
Create provisioned model throughput
AWS Bedrock
Create model customization job

Connect AWS Bedrock to your AI client in three steps.

01 Connect the service

Add AWS Bedrock 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.

How the MCP Gateway governs every call

Use cases

What your AI agents can do with AWS Bedrock

AI clients

Mindflow

AWS Bedrock

→ Manage model customization lifecycle pain points by automating fine-tuning job creation, status retrieval, and model deletion, ensuring updated models without manual API calls. → Alleviate resource tagging challenges by automatically listing, adding, and removing tags on Bedrock resources, improving governance and asset tracking through API-driven automation. → Handle provisioned throughput configurations by automating capacity creation, updates, and deletions, enabling scalable model deployment without direct intervention.

Amazon

AWS

MCP servers:

Amazon Account

Amazon Alexa for Business

Amazon API Gateway Management

Amazon AppConfig Data

Amazon AppFlow

Amazon AppIntegrations

Amazon AppStream

Amazon Augmented AI Runtime

Amazon AWS App Runner

Amazon AWS Chatbot

Amazon AWS CodeStar Connections

Amazon AWS Connect Service

Amazon AWS Direct Connect

Amazon AWS Firewall Management Service

Amazon AWS GameLift

Amazon AWS Marketplace Metering

Amazon AWS Outposts

Amazon AWS Personalize

Amazon AWS Security Token Service

Amazon AWS Serverless Application Repository

Amazon AWS Service Catalog App Registry

Amazon AWS Storage Gateway

Amazon Backup

Amazon Backup Storage

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Every call to AWS Bedrock 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.

Discover the MCP Gateway

AWS Bedrock MCP server

Live

RBAC · SecOps

Scoped credentials

Audit log

Create model customization job

Allowed

Create provisioned model throughput

Allowed

Delete custom model

Needs approval

Delete provisioned model throughput

Blocked

Every call logged · Export to SIEM

Questions about the AWS Bedrock MCP server

Clear answers before you connect an AI client.

What is the AWS Bedrock MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use AWS Bedrock through MCP?

How do I control what AI agents can do in AWS Bedrock?

Can the same connection power automated workflows?

Questions about the AWS Bedrock MCP server

Clear answers before you connect an AI client.

What is the AWS Bedrock MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use AWS Bedrock through MCP?

How do I control what AI agents can do in AWS Bedrock?

Can the same connection power automated workflows?

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Put this MCP server to work.

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

Book a demo

Put this MCP server to work.

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

Book a demo

Less busywork. More possibility.

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

Let’s talk

Automation intelligence, delivered monthly.

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

Less busywork. More possibility.

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

Let’s talk

Automation intelligence, delivered monthly.

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

Less busywork. More possibility.

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

Let’s talk

Automation intelligence, delivered monthly.

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

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

Every AWS Bedrock operation, as an MCP tool

Every AWS Bedrock operation, as an MCP tool

Connect AWS Bedrock to your AI client in three steps.

01

Connect the service

02

Choose the tools

03

Connect your AI client

What your AI agents can do with AWS Bedrock

What your AI agents can do with AWS Bedrock

More

More

Amazon

Amazon

AWS

AWS

MCP servers:

MCP servers:

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.

Questions about the AWS Bedrock MCP server

Questions about the AWS Bedrock MCP server

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.