Cloudback MCP Server vs codebase-memory-mcp: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Cloudback MCP Server and codebase-memory-mcp — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Cloudback MCP Server
Cloudback
Cloudback MCP Server provides secure, compliant backups for code and project platforms with BYOS/BYOK encryption and Terraform integration.
Key features
- Cross-Platform Repository Backup: Continuously backs up repositories, issues, wikis, and metadata across GitHub, Azure DevOps, GitLab, and Linear to ensure complete recoverability.
- BYOS (Bring Your Own Storage): Allows organizations to store backups in their own cloud storage accounts to retain custody of backup data and meet storage policies.
- RSA Lockbox BYOK Encryption: Supports customer-managed encryption keys (BYOK) via RSA Lockbox to ensure that only the customer can decrypt backup contents.
- SOC 2 Type II Compliance: Operates under SOC 2 Type II controls and auditing to support enterprise security and regulatory requirements.
- Terraform Integration: Offers Terraform modules and automation hooks to provision backup resources, define backup policies, and manage recovery workflows as code.
- Point-in-Time Restore & Long-Term Retention: Enables restoring repositories and project state to a specific point in time and retaining historical snapshots for audits or archiving.
- Automated Scheduling & Policy Management: Provides scheduled backups, retention policies, and role-based access controls to streamline backup administration and governance.
- Automated backup of repositories and project data for GitHub, Azure DevOps, GitLab, and Linear
- Bring-Your-Own-Storage (BYOS) support to store backups in customer-managed storage
- RSA Lockbox Bring-Your-Own-Key (BYOK) encryption for customer-controlled keys
- SOC 2 Type II compliance posture
- Terraform support for infrastructure-as-code deployment and configuration
- Secure key management and encryption at rest
- Restore and recovery workflows for disaster recovery and data restoration
- Scalable backups across thousands of repositories
Best for
- Enterprise Disaster Recovery: Protect and restore entire codebases and project data after accidental deletions, repository corruption, or platform outages to minimize downtime.
- Compliance and Audit Readiness: Maintain immutable, encrypted backups with SOC 2 Type II assurances and customer-managed keys to satisfy auditors and regulators.
- Secure Offsite Custody: Retain backup data in customer-owned storage (BYOS) with BYOK-managed encryption for organizations requiring full data custody.
- Platform Migration and Consolidation: Export and restore repositories and associated metadata to migrate projects between GitHub, GitLab, Azure DevOps, or Linear with minimal manual effort.
- Long-Term Archiving: Preserve historical code and project snapshots for legal holds, archival retention policies, or future reference without relying on primary platform retention.
- Infrastructure-as-Code Backup Management: Use Terraform modules to automate backup provisioning, policy rollout, and recovery testing as part of CI/CD and infra pipelines.
- Enterprise backup and disaster recovery for source code and repositories
- Compliance and audit-ready retention of repository data (SOC 2 workflows)
- Customer-controlled encryption and key management using BYOK
- Migration or archival of repositories using BYOS to customer storage
- Infrastructure-as-code driven deployment and configuration via Terraform
c
codebase-memory-mcp
DeusData
High-performance MCP server that indexes codebases into a persistent knowledge graph for sub-millisecond structural queries by AI coding agents.
Key features
- Fast Full Indexing: Indexes an average repo in milliseconds and 28M-line codebases in minutes.
- Sub-Millisecond Queries: Answers structural code queries in under 1ms from a persistent knowledge graph.
- Tree-sitter Parsing: High-quality AST analysis across 158 programming languages.
- Hybrid LSP: Adds semantic understanding via LSP integration for 9 languages.
- Single Static Binary: Ships dependency-free for macOS, Linux, and Windows with a simple install.
- MCP Integration: Exposes code intelligence to AI agents through the Model Context Protocol.
Best for
- Agent Code Memory: Give an AI coding agent persistent, queryable memory of a large codebase.
- Large Repo Navigation: Answer structural questions instantly across millions of lines of code.
- Cross-Language Analysis: Parse and query polyglot repositories spanning many languages.
- Faster Refactoring: Let agents locate symbols and dependencies quickly before making changes.