Cody AI MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Cody AI and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"cody-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cody AI MCP Server
Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.
Cursor's Agent mode turns Cody AI into an in-editor superpower. Ask Cursor to generate code using live data from Cody AI and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Bot Management — List active bots, check their configurations, and view which documents they're trained on.
- Conversations — Start conversations with any bot and ask questions against your knowledge base.
- Document Import — Import web pages and files into specific folders to expand a bot's knowledge.
The Cody AI MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cody AI to Cursor via MCP
Follow these steps to integrate the Cody AI MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Cody AI
Open Agent mode in chat and ask: "Using Cody AI, help me...". 10 tools available
Why Use Cursor with the Cody AI MCP Server
Cursor AI Code Editor provides unique advantages when paired with Cody AI through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Cody AI + Cursor Use Cases
Practical scenarios where Cursor combined with the Cody AI MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Cody AI MCP Tools for Cursor (10)
These 10 tools become available when you connect Cody AI to Cursor via MCP:
create_conversation
Create a new conversation session with a specific bot
get_bot_details
Retrieve detailed information about a specific bot
get_document_status
Check the syncing status of a document to see if the AI has finished learning it
import_webpage
Import content from a URL into a specific folder in your knowledge base
list_bots
Retrieve all bots configured in your Cody AI account
list_conversations
Retrieve a list of recent conversations
list_documents
Retrieve a list of documents in your knowledge base
list_folders
Retrieve a list of folders in your knowledge base
list_messages
Retrieve the message history for a specific conversation
send_message
Send a prompt to the AI in a specific conversation
Example Prompts for Cody AI in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Cody AI immediately.
"Show me all active bots in Cody AI."
"Ask bot 'bot-xxxx': 'How do I reset my password?'"
"Import my local 'compliance_guidelines.pdf' into the Legal Bot's knowledge base."
Troubleshooting Cody AI MCP Server with Cursor
Common issues when connecting Cody AI to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Cody AI + Cursor FAQ
Common questions about integrating Cody AI MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Cody AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Cody AI to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
