Compatibility & Technical Specifications
Coverage Tiers #
Maguyva is optimized for programming languages, but it also indexes web, config, schema, documentation, and other text-based technologies. Below are the coverage tiers and the repo surfaces that get the best structural analysis.
Maguyva supports 278 languages and text-based technologies. The current compatibility dataset is split into full graph support, AST-first support, and basic support depending on how much structure and symbol data we can extract.
Full graph support
Full266
AST parsing, symbol extraction, and graph-aware workflows.
AST-first support
AST4
Structural parsing is available, with lighter symbol and graph coverage.
Basic support
Basic8
Text and file context are reliable, but structural intelligence is limited.
Programming Languages
115 languagesWeb Technologies
22 languagesShell & Scripting
5 languagesQuery Languages
5 languagesSchema & Serialization
9 languagesConfiguration & Data
35 languagesBuild Systems
7 languagesBlockchain & Smart Contracts
3 languagesSpecialized
12 languagesAssembly
3 languagesConfiguration
10 languagesData
17 languagesDatabase
1 languagesDiagram
1 languagesDocumentation
16 languagesGraphics
1 languagesHardware
2 languagesInfrastructure
11 languagesMarkup
1 languagesTesting
2 languages278 languages supported. Any language tagged AST or Basic is still indexable, but the graph is lighter than the full-support set.
Need the human version? Browse the new language guides for curated pages on Python, TypeScript, Java, Terraform, COBOL, and other stacks people actually evaluate.
Repository Integration #
Supported Code Repositories #
- GitHub - Public and private repositories
GitLab- (Planned)Bitbucket- (Planned)
Version Control Features #
- Branch-specific analysis
File Format Support #
Maguyva processes source code and text-based files. Markdown and HTML documentation are supported as listed in the languages section above. The following structured data formats are also parseable:
Data Formats #
- CSV - Comma-separated values
- XML - Structured data and configuration
- JSON - API documentation and data
- YAML - Configuration files
- TOML - Configuration files
Model Context Protocol (MCP) Compatibility #
Documented MCP Clients #
Maguyva currently has setup guides for Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, Codex CLI, GitHub Copilot CLI, Gemini CLI, Cline, Roo Code, Goose, Continue, LM Studio, Amazon Q, JetBrains, Zed, Trae, OpenCode, BoltAI, LibreChat, Antigravity, Claude Cowork, ChatGPT, and Warp. Other MCP-compatible clients can connect to the same server if they support standard MCP configuration.
Compatibility note: Maguyva uses standard MCP. Any client with MCP support can connect to the same server, even if we have not written a first-party setup guide for it yet.
Integration Benefits #
- No Vendor Lock-in - Maguyva is not trying to take over your development environment. It is simply an MCP tool you plug into whatever client or workflow you already want to use.
- Consistent Context - Same optimized data across all models
- Future-Proof - Works with new MCP-compatible models automatically
Security & Privacy #
Data Protection #
- Transport Security - Connections to the service use HTTPS/TLS
- Managed Storage - Indexed data is stored on infrastructure that provides encryption at rest
- Controlled Retention - Indexed data stored securely, deletable on demand
- Namespace Isolation - Repository data is tenant-partitioned and enforced with Row Level Security
Access Controls #
- Token-based Authentication - API requests require a valid token
- Scoped Repository Access - Access is limited to repositories and namespaces available to your workspace
- Audit Logging - Track all data processing activities
Platform Compatibility #
Maguyva runs as a cloud service. Any MCP-compatible client on any operating system can connect via the standard MCP protocol. No local installation required.
Getting Started #
Ready to integrate Maguyva with your development workflow?
Quick Start: Most developers are up and running in under 5 minutes. Simply connect your repository and start optimizing your AI workflows immediately.
Big Codebase? Check out the Fleet plan for 10M+ lines of code support.