Can I send a question to a bot and get an AI-generated answer in real time?

Yes! The `query_bot` tool accepts a Bot ID and a question string. It sends the query to the bot's AI engine and returns a response generated from its trained knowledge base — perfect for testing bot accuracy before deploying changes.

Can I review all the data sources currently training my bot?

Yes. The `list_data_sources` tool returns all URLs, documents, and text snippets that have been added to a specific bot's knowledge base, including their processing status. Use `add_data_source` to programmatically add new URLs, text, or file content to expand the bot's training data.

Can I browse conversation histories across all my bots?

Yes. Use `list_conversations` to retrieve all chat sessions — optionally filter by a specific Bot ID. Then use `get_conversation` with the Conversation ID to inspect the full message timeline, including user questions, bot responses, and timestamps.

INSTANT PLUG AND PLAY

Chatsistant MCP Server for WindsurfGive Windsurf instant access to 8 tools to Add Data Source, Get Bot, Get Conversation, and more

Name: Chatsistant
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 8 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Chatsistant through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Use with Your AI Agent

Ask AI about this App Connector for Windsurf

Open in ChatGPT Open in Claude Open in Perplexity

The Chatsistant app connector for Windsurf is a standout in the Customer Support category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Chatsistant and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "chatsistant": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Chatsistant MCP Server

Connect your Chatsistant account to any AI agent and manage your AI chatbot ecosystem through natural conversation.

Windsurf's Cascade agent chains multiple Chatsistant tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

Bot Management — List all configured chatbots and inspect individual bot profiles with knowledge base settings and status
Conversation Review — Browse all chat sessions across bots and inspect full message histories for any conversation
Knowledge Training — Review all data sources (URLs, text, files) training a bot and add new sources programmatically
Live Querying — Send questions to any bot and receive AI-generated answers based on its trained knowledge base
Webhook Monitoring — View all configured webhooks with event triggers and delivery settings

The Chatsistant MCP Server exposes 8 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.

All 8 Chatsistant tools available for Windsurf

When Windsurf connects to Chatsistant through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-assistant, white-label, conversation-analytics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_data_source

Add a new data source to a bot

get_bot

Get details for a specific bot

get_conversation

Get details for a specific conversation

list_bots

List Chatsistant bots

list_conversations

Optionally filter by bot ID. List bot conversations

list_data_sources

List bot data sources

list_webhooks

List configured webhooks

query_bot

Query a bot knowledge base

Connect Chatsistant to Windsurf via MCP

Follow these steps to wire Chatsistant into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Chatsistant

Open Cascade and ask: "Using Chatsistant, help me...". 8 tools available

Why Use Windsurf with the Chatsistant MCP Server

Windsurf provides unique advantages when paired with Chatsistant 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 8 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Chatsistant + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Chatsistant MCP Server delivers measurable value.

Automated code generation: ask Cascade to fetch data from Chatsistant and generate models, types, or handlers based on real API responses

Live debugging: query Chatsistant tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from Chatsistant and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine Chatsistant data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Chatsistant in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Chatsistant immediately.

"List all my bots and query the support bot about return policies."

"Show recent conversations for the Sales Helper bot from this week."

"Add our FAQ page and API documentation to the Internal Wiki bot."

Troubleshooting Chatsistant MCP Server with Windsurf

Common issues when connecting Chatsistant to Windsurf through the Vinkius, and how to resolve them.

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Chatsistant + Windsurf FAQ

Common questions about integrating Chatsistant MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the 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?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.