Compatible with every major AI agent and IDE
Autocomplete taxa on iNaturalist
Returns the top 10 matching taxa with names and ranks. Useful for building search UIs or quickly finding taxon IDs. Autocomplete taxon names
Get controlled terms on iNaturalist
These include standardized values for life stage, plant phenology, sex, evidence of presence and more. Useful for understanding annotation options. Get controlled terms (standardized vocabularies)
Get identifications on iNaturalist
Filter by taxon or user. Each identification includes the proposed species, the observation it was made on, and the user who made it. Get identifications made by users
Get observation on iNaturalist
Get a specific iNaturalist observation by ID
Get observations by user on iNaturalist
Filter by quality grade and set result limit. Returns observations with species, photos and dates. Get observations by a specific user
Get projects on iNaturalist
Projects are community-curated collections of observations. Filter by place and set result limit. Search for iNaturalist projects
Get species counts on iNaturalist
Useful for biodiversity surveys and understanding which species are most commonly observed in an area or by a user. Filter by taxon, place or user. Get species observation counts grouped by taxon
Get taxon on iNaturalist
Returns scientific name, common names, rank, ancestry, conservation status, establishment means and Wikipedia URL. Get details for a specific taxon
Search observations on iNaturalist
Supports powerful filters: free-text query, taxon ID, user, place/location, quality grade (research/needs_id/casual), date range, and whether photos are required. Returns observations with species names, photos, locations, dates and observer info. Pagination: max 200 per page. Search iNaturalist observations
Search taxa on iNaturalist
Returns taxa with scientific names, common names, ranks (species, genus, family, etc.), conservation status and observation counts. Supports filtering by rank. Search for taxa (species, genera, families, etc.)
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I search for species in my area?
Yes! Use search_observations with place_id, or lat/lng/radius parameters to filter by location. You can also use get_species_counts with place_id to see which species are most commonly observed in an area.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
Supported Use Cases for iNaturalist
Build automated workflows with Cursor and Claude Code by connecting to the iNaturalist MCP server.
Connecting biodiversity with Cursor
Add biodiversity functionality to your custom chatbots. The iNaturalist MCP handles the payload formatting required for ChatGPT and Claude to interface with data management endpoints.
wildlife observations & AI Execution
Use iNaturalist to interface with wildlife observations via natural language. The toolkit provides Cursor with LLM-friendly schemas for data management tasks.
iNaturalist. 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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