Compatible with every major AI agent and IDE
Add documents on Meilisearch
Add or replace documents in an index
Cancel tasks on Meilisearch
Cancel pending or processing tasks
Chat completion on Meilisearch
Request a chat completion from a workspace
Configure experimental features on Meilisearch
Enable or disable experimental features
Create dump on Meilisearch
Trigger the creation of a Meilisearch dump
Create index on Meilisearch
Create a new index
Create key on Meilisearch
Create a new API key
Create snapshot on Meilisearch
Trigger the creation of a Meilisearch snapshot
Delete all documents on Meilisearch
Delete all documents in an index
Delete document on Meilisearch
Delete a single document
Delete documents batch on Meilisearch
Delete multiple documents by ID
Delete documents by filter on Meilisearch
Delete documents matching a filter
Delete dynamic search rule on Meilisearch
Delete a dynamic search rule
Delete index on Meilisearch
Delete an index
Delete key on Meilisearch
Delete an API key
Delete tasks on Meilisearch
Delete finished tasks
Get batch on Meilisearch
Get details of a specific batch
Get document on Meilisearch
Get a specific document by ID
Get health on Meilisearch
Check the health of the Meilisearch instance
Get index on Meilisearch
Get metadata for a specific index
Get index stats on Meilisearch
Get stats of a specific index
Get key on Meilisearch
Get details of a specific API key
Get settings on Meilisearch
Get all settings of an index
Get stats on Meilisearch
Get stats of all indexes and database size
Get task on Meilisearch
Get details of a specific task
Get version on Meilisearch
Get the version of the Meilisearch instance
List batches on Meilisearch
List task batches
List chats on Meilisearch
List chat workspaces
List documents on Meilisearch
List documents in an index
List dynamic search rules on Meilisearch
List dynamic search rules for an index
List experimental features on Meilisearch
List the status of experimental features
List indexes on Meilisearch
List all Meilisearch indexes
List keys on Meilisearch
List API keys
List tasks on Meilisearch
List asynchronous tasks
Multi search on Meilisearch
Perform multiple search queries in a single call
Reset settings on Meilisearch
Reset all settings of an index to defaults
Search documents on Meilisearch
Search for documents in an index
Set dynamic search rule on Meilisearch
Create or update a dynamic search rule
Similar documents on Meilisearch
Find documents similar to a given document ID
Swap indexes on Meilisearch
Swap multiple indexes atomically
Update documents on Meilisearch
Add or update documents (partial update)
Update index on Meilisearch
Update an index primary key
Update key on Meilisearch
Update an API key name or description
Update settings on Meilisearch
Update settings of an index
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.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Is it possible to retrieve only specific fields from a document?
Absolutely. When using get_document or list_documents, you can provide a comma-separated list of fields to return, reducing the payload size and focusing on the data you need.
How Chatbots Interact with Meilisearch
We map standard API endpoints to agent-compatible instructions. Connect Meilisearch to execute these core functional operations.
AI Semantic Routing for search engine
Use Meilisearch to interface with search engine via natural language. The toolkit provides Cursor with LLM-friendly schemas for loved by devs tasks.
ChatGPT indexing Automation
Deploy the Meilisearch toolkit to manage indexing. The integration offers robust endpoints for ChatGPT to control loved by devs settings.
Meilisearch. 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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