3,400+ MCP servers ready to use
Vinkius

Bring Ai Assistant
to Claude Code

Learn how to connect Chatsistant to Claude Code and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Add Data SourceGet BotGet ConversationList BotsList ConversationsList Data SourcesList WebhooksQuery Bot
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Chatsistant MCP Server?

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

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

How it works

1. Subscribe to this server
2. Enter your Chatsistant API Key from your dashboard settings
3. Start managing your chatbots from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Customer Experience Teams — review bot conversations, identify knowledge gaps, and improve response quality
  • Developers — manage bot configurations and data sources through conversational AI instead of the dashboard
  • Operations Teams — monitor webhook delivery and verify bot connectivity across all integrations

Built-in capabilities (8)

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

Why Claude Code?

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.

  • —

    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

See it in action

Chatsistant in Claude Code

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Chatsistant and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Chatsistant to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Claude Code →
Enterprise Security

Why teams choose Vinkius for Chatsistant in Claude Code

The Chatsistant 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Chatsistant details →
Chatsistant
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

The Vinkius Advantage

How Vinkius secures Chatsistant for Claude Code

Every tool call from Claude Code to the Chatsistant MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

Command not found: claude

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

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable