Compatible with every major AI agent and IDE
Delete repository on Greptile
Delete indexed repository
Get file info on Greptile
Get file info
Get greptile usage on Greptile
Check API usage
Get repository status on Greptile
Get repository status
Index repository on Greptile
Index a repository
List repositories on Greptile
List indexed repositories
Query codebase on Greptile
Query codebase with AI
Query with context on Greptile
Query with session context
Reindex repository on Greptile
Reindex a repository
Search by filepath on Greptile
Search in specific file
Search codebase on Greptile
Search codebase
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Can I search for specific code patterns across my repositories?
Yes. The search_codebase tool performs semantic search across your indexed repositories to find relevant files and functions. For targeted results, use search_by_filepath to narrow the search to a specific file path. Use get_file_info to retrieve indexed metadata for any file.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
What can AI Agents do with Greptile?
The Greptile integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
LLM Orchestration for codebase intelligence
The Greptile integration exposes LLM-friendly schemas for codebase intelligence. Tools like Cursor can map natural language directly into executable developer tools commands.
The Future of semantic search
The Greptile toolkit provides AI native integration for semantic search. It structures data so Claude Code can accurately process developer tools requirements.
Greptile. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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