AI & Machine Learning · Chatbotkit + Claude
Chatbotkit MCP with Claude: Automate Chatbot Conversations and Workflows
The short answer
Claude works with Chatbotkit through the Model Context Protocol, an open standard that acts as a secure adapter between the two. Once connected with an API key, Claude can send messages, manage conversations, retrieve chat histories and automate chatbot workflows in plain language. Your team sets the permissions and approves consequential actions.
What is Chatbotkit?
Chatbotkit is a platform for building and managing AI-powered chatbots. It offers APIs and SDKs that let development teams add conversational AI to their apps and websites, improving how users engage with a product or service. Product teams, developers and customer experience leaders typically use it to run chatbots that answer questions, hold conversations and keep users engaged over time.
How Claude connects to Chatbotkit through MCP
The Model Context Protocol, or MCP, is an open standard that lets Claude use other software securely. Think of it as a universal adapter between Claude and a tool like Chatbotkit. The organisation decides exactly what Claude can reach and what it can do.
Once connected, Claude can read information from Chatbotkit, such as conversation records and chat histories, and carry out actions such as sending messages or managing conversations. You describe the task in everyday language, and Claude works through the connection to complete it.
Permissions and approvals keep your people in charge. Access is granted using an API key with least-privilege settings, so Claude only touches what it needs. Consequential actions can require a person's sign-off before they run, and every action can be logged for review.
What you can automate
Conversation review for quality teams
A quality lead asks Claude to pull recent chat histories from a support chatbot and summarise where users got stuck. Claude groups the issues by theme and highlights repeated questions the bot answered poorly. The team uses these findings to refine the chatbot's responses each week, without reading hundreds of transcripts by hand.
Customer engagement follow-ups
A customer success manager identifies users who stopped chatting partway through an onboarding flow. Claude retrieves those conversations, drafts tailored follow-up messages and, after approval, sends them through the chatbot. This keeps users moving through the product and reduces drop-off at key moments.
Live chatbot operations
An operations manager asks Claude to check which chatbot conversations have been idle for a set period and close or flag them according to agreed rules. Claude carries out the routine steps and escalates unusual cases to a person. Teams spend less time on housekeeping and more on improving the experience.
Product feedback collection
A product manager uses Claude to review conversations where users asked for features or reported problems. Claude extracts the requests, counts how often each appears and prepares a short briefing for the product meeting. Insights reach the team faster, based on real user language.
Multi-bot management for agencies
An agency running chatbots for several clients asks Claude to compare engagement patterns across bots and prepare a monthly summary. Claude retrieves the relevant conversations and organises findings by client. Account managers spend their time on client conversations rather than assembling reports.
An end-to-end workflow: Chatbot feedback to product backlog
TriggerEach Monday morning, a product manager asks Claude to review the previous week's chatbot conversations.
Claude retrieves chat histories from Chatbotkit for the past seven days, using the agreed permissions.
Claude identifies conversations where users requested features, reported errors or expressed frustration.
Claude groups the findings by theme and counts how often each one appears.
Claude creates draft tickets in the team's ticketing system, linked to example conversations.
The product manager reviews and approves the tickets before they enter the backlog.
Claude posts a short weekly summary to the team's Microsoft 365 channel.
OutcomeProduct teams act on real user feedback each week, with a clear audit trail and a person approving every ticket. Typical results include faster triage and fewer missed issues, though outcomes vary by organisation.
How we set it up
Free automation audit
We review your chatbot workflows and identify the tasks most worth automating with Claude and Chatbotkit. You receive a clear list of priorities at no cost.
Secure API key access
We connect Claude to Chatbotkit using an API key, scoped to the minimum access your workflows need. Keys are stored securely and can be rotated or revoked at any time.
Workflow design
We design the end-to-end workflow across Chatbotkit and your other systems, such as Microsoft 365, CRM, ERP or ticketing. Approval points are set for any action with a business impact.
Testing and launch
We test the workflow against real past conversations, then launch with monitoring and audit logs turned on so every action can be traced.
Team training
We train your team to use Claude with Chatbotkit confidently, covering day-to-day tasks, approvals and what to do if something looks wrong.
Who benefits
- Product managers
- Turn real chatbot conversations into clear, prioritised feedback for the roadmap.
- Customer experience leaders
- Spot where users drop off or get stuck and act on it quickly.
- Developers and IT heads
- Keep API access controlled and auditable while reducing manual support work.
- Operations managers
- Automate routine chatbot housekeeping and focus people on exceptions.
Security and control
- Access uses an API key with least-privilege settings, so Claude only reaches the data and actions it needs.
- Consequential actions, such as sending messages to customers, require human approval before they run.
- Audit logs record what Claude retrieved and did, supporting review and accountability.
- Keys can be rotated or revoked immediately if access needs to change.
- Personal data in conversations is handled under your own data policies and applicable law.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host workflows in regions that match their data requirements. Indian organisations are supported in line with the Digital Personal Data Protection Act, 2023. Companies in the Middle East, including the UAE and Saudi Arabia, are supported in line with local data protection laws. We choose the hosting region for each build to meet your specific compliance needs.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Chatbotkit MCP server do?
The Chatbotkit MCP server acts as a secure bridge between Claude and your Chatbotkit account. It lets Claude send messages, manage conversations and retrieve chat histories when you ask it to. The server only exposes the actions you have approved, so your chatbots stay under your control.
Is connecting Claude to Chatbotkit secure?
Yes, when set up correctly. Access uses an API key with least-privilege permissions, so Claude sees only what it needs. Consequential actions can require human approval, and audit logs record activity. We also help you rotate or revoke keys whenever your needs change.
What can Claude do with Chatbotkit once connected?
Claude can read conversation records, retrieve chat histories, send messages and help manage conversations. It can also run multi-step workflows, such as reviewing last week's chats and drafting follow-ups. You describe the task in natural language, and Claude carries out the steps within the permissions you set.
How long does setup take?
Many straightforward connections can be set up in a few days once the workflow is agreed. More complex builds that involve several systems, approvals and custom testing usually take a few weeks. Your free automation audit gives you a realistic timeline for your specific case.
Which plan or permissions do I need?
You need a Chatbotkit account with an API key that grants access to the conversations and actions your workflow requires. The exact plan depends on your usage and what your chosen workflows involve. During the free audit we confirm what access is needed so you do not pay for capabilities you will not use.