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 Claude CodeGive Claude Code 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 CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add Chatsistant as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Use with Your AI Agent

Ask AI about this App Connector for Claude Code

Open in ChatGPT Open in Claude Open in Perplexity

The Chatsistant app connector for Claude Code 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·bash

# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add chatsistant --transport http "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.

Claude Code registers Chatsistant as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Chatsistant data drives decisions without human intervention.

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 Claude Code 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 Claude Code

When Claude Code 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 Claude Code via MCP

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

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

Add the MCP Server

Run the command above in your terminal

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

Start using Chatsistant

Ask Claude: "Using Chatsistant, show me...". 8 tools are ready

Why Use Claude Code with the Chatsistant MCP Server

Claude Code provides unique advantages when paired with Chatsistant through the Model Context Protocol.

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

Claude Code runs headlessly, enabling unattended batch processing using Chatsistant tools in cron jobs or deployment scripts

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

Chatsistant + Claude Code Use Cases

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

CI/CD integration: embed Chatsistant tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

Headless batch processing: schedule Claude Code to query Chatsistant nightly and generate reports without human intervention

Shell scripting: pipe Chatsistant outputs into other CLI tools for data transformation, filtering, and aggregation

Infrastructure monitoring: run Claude Code in a cron job to query Chatsistant status endpoints and alert on anomalies

Example Prompts for Chatsistant in Claude Code

Ready-to-use prompts you can give your Claude Code 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 Claude Code

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

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

Connection timeout

Check your internet connection and verify the Edge URL is reachable

Chatsistant + Claude Code FAQ

Common questions about integrating Chatsistant MCP Server with Claude Code.

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.