Integrate Felt (Collaborative Maps) with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiAdd elements on Felt (Collaborative Maps)
Add elements to a Felt layer
Create layer on Felt (Collaborative Maps)
Supports GeoJSON, CSV, KML, Shapefiles, etc. Create a layer (Upload Data) to a Felt map
Create map on Felt (Collaborative Maps)
Create a new Felt map
Delete element on Felt (Collaborative Maps)
Delete a Felt element
Delete layer on Felt (Collaborative Maps)
Delete a Felt layer
Delete map on Felt (Collaborative Maps)
Delete a Felt map
Get layer on Felt (Collaborative Maps)
Get details for a specific Felt layer
Get map on Felt (Collaborative Maps)
Get details for a specific Felt map
List maps on Felt (Collaborative Maps)
List Felt maps
Update element on Felt (Collaborative Maps)
Update a Felt element
Update layer on Felt (Collaborative Maps)
Update a Felt layer
Security & Code Integrity Audit
Every tool in the Felt (Collaborative Maps) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
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.
Is it possible to change the visual style of a map layer?
Yes. Use the update_layer tool and provide a 'Felt Style Object' (FSO) in the style parameter to programmatically change colors, icons, or visibility rules.
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.
Triggering Felt (Collaborative Maps) via Natural Language
Securely interface Claude Code, ChatGPT, and Cursor with the Felt (Collaborative Maps) API through semantic routing and standardized natural language triggers.
Connecting gis with Cursor
Add gis functionality to your custom chatbots. The Felt (Collaborative Maps) MCP handles the payload formatting required for ChatGPT and Claude to interface with collaboration endpoints.
Automating mapping with AI
Deploy the Felt (Collaborative Maps) toolkit to manage mapping. The integration offers robust endpoints for ChatGPT to control collaboration settings.
Felt (Collaborative Maps). 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.
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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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