Chanty MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Chanty through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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 Chanty and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"chanty": {
"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 Chanty MCP Server
Connect your Chanty workspace to any AI agent and command your team's communication flow naturally. Bypass the UI and construct high-speed chat operations through simple prompts.
Windsurf's Cascade agent chains multiple Chanty tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Messages — Send targeted messages to any conversation, retrieve chat histories, and delete texts as needed
- Conversations — Create entirely new channels, list active ones, and irreversibly vaporize outdated spaces
- Members — Inspect company directories, track user IDs, and instantly dispatch email invitations to onboard new users
- Profile & Status — Verify token limits and globally mutate your web CRM status icon automatically
The Chanty MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Chanty to Windsurf via MCP
Follow these steps to integrate the Chanty MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Chanty
Open Cascade and ask: "Using Chanty, help me...". 10 tools available
Why Use Windsurf with the Chanty MCP Server
Windsurf provides unique advantages when paired with Chanty through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Chanty + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Chanty MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Chanty and generate models, types, or handlers based on real API responses
Live debugging: query Chanty tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Chanty and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Chanty data with Cascade's code generation to scaffold entire features in minutes
Chanty MCP Tools for Windsurf (10)
These 10 tools become available when you connect Chanty to Windsurf via MCP:
create_conversation
Bootstrap an entirely empty structural chat Room dynamically
delete_conversation
Irreversibly vaporize explicit Channel spaces terminating histories
delete_message
Obliterate mapped HTTP bounds removing specific Texts
get_profile
Inspect deep internal arrays evaluating self-assigned permissions
invite_member
Dispatch an automated JSON block emitting email triggers
list_conversations
Perform structural extraction of properties driving active Chanty layouts
list_members
Retrieve explicit Directory maps tracking User IDs
list_messages
Identify bounded routing spaces verifying explicit historical messages
send_message
Provision a highly-available JSON Payload dropping messages into Chanty Chats
set_status
Mutate global Web CRM boundaries substituting plain Status texts
Example Prompts for Chanty in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Chanty immediately.
"We just signed a new client. Create a 'project-titan' conversation and invite 'alex@domain.com'."
"Please mark my profile status to 'In deep focus mode' for the rest of the day."
"Can you delete the message I just sent in the 'general' channel? I made a typo."
Troubleshooting Chanty MCP Server with Windsurf
Common issues when connecting Chanty to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Chanty + Windsurf FAQ
Common questions about integrating Chanty MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Chanty 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.
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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 Chanty to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.