Sold by: CircleCIÂ
Deployed on AWS
Enable your AI development tools to understand, diagnose, and fix CircleCI build failures automatically. The CircleCI MCP server makes your build system understandable by AI tools like Amazon Q Developer, Cursor, Claude Code, Windsurf, and more. It is built on the Model Context Protocol (MCP), a lightweight standard that allows LLM-powered agents to fetch structured data from external systems.
Overview
The CircleCI Model Context Protocol (MCP) Server is a specialized docker packaged integration that bridges your CircleCI CI/CD infrastructure with AI powered development tools. Built on the open Model Context Protocol standard, this server enables AI assistants like Amazon Q Developer, Cursor, Claude Code, Windsurf, and VS Code Copilot to interact with your CircleCI pipelines using natural language.
You can:
- Diagnose build failure with all the context in plain language: The CircleCI MCP Server gives agents direct access to build logs and metadata, letting you quickly identify issues with direct questions like: Why did this PR build fail?
- Speed up your feedback loop: Empowered with your code and your build logs, agents will help you fix your error and trigger another build; keeping you/your developers in flow and resolving CI issues faster.
Highlights
- Easy Deployment & Setup: 1. Deploy the docker container from AWS Marketplace 2. Configure environment variables with your CircleCI API token 3. Connect to your AI development tools using MCP protocol 4. Start using natural language to interact with your CI/CD pipelines
- What's Included: 1. Pre-built docker image with CircleCI MCP server 2. Comprehensive documentation and setup guides 3. Example configurations for popular IDEs
Details
Sold by
Delivery method
Type
Supported services
Delivery option
Docker Container for CircleCI MCP Server
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
No refunds provided. For inquiries, please contact AWS-Marketplace@circleci.comÂ
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Docker Container for CircleCI MCP Server
Supported services: Learn moreÂ
- Amazon Bedrock AgentCore - Preview
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
CircleCI MCP Server
Additional details
Usage instructions
Select the appropriate version of our MCP Server in AWS Marketplace, then navigate to the AI agent platform to host this agent.
On configure agent page, set the following environment variables
- CIRCLECI_TOKEN=<YOUR_CIRCLECI_API_TOKEN>
- start=remote
CircleCI Personal API Token - you can generate one through CircleCI.
- Learn more: https://circleci.com/docs/managing-api-tokens/Â
- Quick Access: https://app.circleci.com/settings/user/tokensÂ
IDE Integration made simple https://github.com/CircleCI-Public/mcp-server-circleci?tab=readme-ov-file#circleci-mcp-serverÂ
CircleCI server: https://circleci.com/mcp/Â
CircleCI server natural language CI for AI driven workflows https://circleci.com/blog/circleci-mcp-server/Â
Resources
Support
Vendor support
Get support - https://support.circleci.com/hc/en-us Support docs - https://circleci.com/docs/ AWS infrastructure support -
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
0 ratings
0 AWS reviews
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6 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Gonzalo R.
Very efficient, everything compiled in the cloud
Reviewed on Jul 28, 2022
Review provided by G2
What do you like best about the product?
that compiles in the cloud, independent of the local code
What do you dislike about the product?
the delay time in generating an mds
What problems is the product solving and how is that benefiting you?
continuous integration, review of automatic test coverage, generation of mds
Information Technology and Services
Circle ci
Reviewed on Sep 12, 2019
Review provided by G2
What do you like best about the product?
We have been using Amazon for a few years, not only CircleCI but also S3, EC2, Beanstalk among others. Regarding CircleCI, it definitely made our continuous integration process much easier, with automatic deployments and multiple environments, rollback among others.
What do you dislike about the product?
Currently, everything pleases me, but there could be better and greater parallelism between the deployments. I know we can improve the plan, but currently, we only have two deployments at the same time.
What problems is the product solving and how is that benefiting you?
Deploys super fast and simple, version control for dev, homologation for prod, approval for production release with just 1 click.
Ignacio J.
An excellent tool
Reviewed on Sep 11, 2019
Review provided by G2
What do you like best about the product?
What I use this tool for is the automation of testing and deployment processes from GitHub. It really is an excellent tool for this, it helps a lot and saves a lot of time. It is very easy to learn to use and there is a lot of information about it.
What do you dislike about the product?
I really can't find a disadvantage of this tool yet.
What problems is the product solving and how is that benefiting you?
Continuous integration and continuous deployment. The ability to automate these tasks in GitHub is really useful.
Recommendations to others considering the product:
I strongly recommend the use of this tool.
Education Management
Using since 2018 in production
Reviewed on Sep 10, 2019
Review provided by G2
What do you like best about the product?
It's easy to get started, almost no effort to start
What do you dislike about the product?
Can't have total control over the machines
What problems is the product solving and how is that benefiting you?
We have a proper deploy pipeline that has many stages, all detailed in .yml files.
Recommendations to others considering the product:
It is the best cost-benefit.
Information Technology and Services
Solve my CI/CD problem with CircleCI
Reviewed on Sep 10, 2019
Review provided by G2
What do you like best about the product?
Previously, I was using Jenkins to deploy and test my applications, but it was a difficult process. Then I switched to CircleCI, and everything became very easy. Thanks to CircleCI for that.
What do you dislike about the product?
Sometimes I feel like Kubernetes integration can give more power to CircleCI like GitLab CI has it already.
What problems is the product solving and how is that benefiting you?
E2E testing in the containers is made possible with a single config file.