Overview
TeamLoop deploys a production-ready AI knowledge platform in your AWS account. It connects to GitHub, Notion, Linear, Jira, Confluence, Asana, Figma, Zendesk, Datadog, and PagerDuty, enabling AI assistants like Claude to search, retrieve, and reason over your organization's knowledge using the Model Context Protocol (MCP).
Unlike standard RAG systems, TeamLoop tracks how documents change over time with temporal versioning. Query modes include current state, point-in-time snapshots, evolution over a date range, and side-by-side comparisons. All data stays in your VPC, nothing leaves your account.
The stack includes Aurora PostgreSQL Serverless v2 with pgvector, ECS Fargate with auto-scaling, Cognito authentication with optional SAML federation, and Amazon Titan V2 embeddings (or bring your own Voyage AI key).
Highlights
- Temporal AI Memory: Track how your organization's knowledge evolves over time. Query current state, point-in-time snapshots, evolution ranges, and side-by-side comparisons across GitHub, Notion, Linear, Jira, Confluence, and more.
- MCP-Native Integration: Works with any AI assistant that supports the Model Context Protocol, including Claude, Cursor, and VS Code. Connects 10+ enterprise tools with OAuth authentication via Cognito.
- Fully Private VPC Deployment: All data stays in your AWS account. Aurora PostgreSQL with pgvector, ECS Fargate with auto-scaling, optional SAML SSO, and Amazon Titan V2 embeddings with no external API calls.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
Seats | Number of authorized users who can access TeamLoo | $0.001 |
Queries | Monthly query allocation for MCP knowledge retrieval | $0.001 |
Vendor refund policy
We offer a full refund within 30 days of purchase if TeamLoop does not meet your requirements. To request a refund, contact chris@teamloop.io with your AWS account ID and order details. Refunds are processed through AWS Marketplace within 5-10 business days.
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Delivery details
CloudFormation Deployment
- Amazon ECS
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
Initial release. Includes MCP server with OAuth 2.0 authentication via Cognito, temporal knowledge retrieval across GitHub, Notion, Linear, Jira, Confluence, Asana, Figma, Zendesk, Datadog, and PagerDuty. Aurora PostgreSQL with pgvector, ECS Fargate with auto-scaling, optional SAML federation, and scheduled auto-update.
Additional details
Usage instructions
- Launch the CloudFormation stack from the deployment template below. Required parameters: ApiImageUri and DashboardImageUri (use the container images from this version).
- Stack creation takes approximately 15 minutes. It creates a VPC, Aurora PostgreSQL database, ECS Fargate service, Cognito User Pool, and Application Load Balancer.
- After deployment, find the TeamLoopURL in the CloudFormation Outputs tab. Create your first user in the Cognito console.4. Connect integrations (GitHub, Notion, Linear, etc.) in Settings > Integrations.
- Configure your MCP client (Cursor, Claude Code, VS Code) with your deployment's MCP endpoint. See https://docs.teamloop.io/mcp/setup/ for detailed setup instructions.
Optional: Set DomainName and CertificateArn for HTTPS with a custom domain. Set EnableSamlFederation and SamlMetadataUrl for corporate SSO.
Support
Vendor support
support@teamloop.io . Documentation at https://docs.teamloop.io . Response within 1 business day.
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.