Collaboration & Communication · Retellai + Claude
Retellai MCP with Claude: Turn Call Transcripts Into Customer Insights and Follow-Ups
The short answer
Claude connects to Retellai through the Model Context Protocol (MCP), a secure standard that lets Claude read call transcripts and conversation data and take approved actions. Teams can ask questions in plain language, summarise calls, extract key insights and trigger follow-ups, while the organisation controls what Claude can access.
What is Retellai?
Retellai is a platform for capturing calls and transcripts and bringing business conversations into one place. It helps teams review how customers and staff interact, spot patterns and understand what is working. Customer service leaders, sales teams, operations managers and product teams typically use it to improve the customer experience using real conversation data rather than guesswork.
How Claude connects to Retellai through MCP
The Model Context Protocol (MCP) is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and a tool. Through it, Claude can work with Retellai using the permissions your organisation sets, rather than through copy-and-paste or unmanaged access.
Once connected, Claude can typically read call transcripts and conversation records, summarise long calls, pull out common questions, complaints and requests, and answer plain-language questions such as which issues came up most last week. With a direct API connection, it can also support your AI agents and chatbots in analysing and acting on conversation data.
Permissions and approvals keep people in charge. Access is limited to the data each team needs, and sign-in uses the API key method Retellai supports. Actions such as sending customer follow-ups can require a person to review and approve before anything reaches a customer, and every action is recorded in an audit log.
What you can automate
Call Summaries for Support Teams
Claude can read each call transcript and produce a short summary covering the customer's issue, the outcome and any promised next step. Support leaders get a clear view of daily volume and themes without listening to recordings. Agents spend less time on manual notes and more time helping customers.
Insight Reports for Customer Experience Leads
Customer experience managers can ask Claude for weekly or monthly reports on the main reasons customers call, how often complaints mention delays, and which phrases appear before a cancellation. The reports help leaders prioritise fixes to products, policies or scripts based on what customers actually say.
Sales Call Review
Sales managers can use Claude to review conversations for objections raised, pricing questions and competitor mentions. Patterns show which pitches work and where reps need coaching. Insights are shared with the team in a consistent format, making coaching sessions more focused and practical.
Automated Follow-Up Drafting
After a call, Claude can draft a follow-up message that restates what was agreed, lists the next steps and includes any documents promised. A staff member reviews the draft and sends it. This helps teams respond faster and reduces the risk of forgotten commitments.
Quality and Compliance Spot Checks
Quality teams can ask Claude to flag calls where required disclosures were missing or where a conversation may need a supervisor's attention. Flagged calls go to a human reviewer, who makes the final decision. This supports consistent quality checks across large call volumes.
An end-to-end workflow: Post-Call Follow-Up for Service Desk Customers
TriggerA customer call in Retellai ends with a follow-up flagged in the transcript, such as a promised callback or a requested document.
Claude reads the new call transcript through the Retellai MCP connection.
Claude summarises the issue, the outcome and each commitment made to the customer.
Claude checks the organisation's ticketing system for an existing case and updates it with the summary.
Claude drafts a follow-up e-mail restating the agreed next steps.
A service agent reviews and approves the draft, which is then sent through Microsoft 365.
The action and approval are recorded in the audit log for the team to review.
OutcomeCustomers receive accurate, timely follow-ups, tickets stay up to date, and agents spend less time on manual notes. Results vary by team and process, but organisations commonly report faster response times and fewer missed commitments.
How we set it up
Free Automation Audit
We review your call volumes, current follow-up process and the questions your leaders need answered. We identify the workflows where Claude and Retellai would save the most time.
Secure Connection
We connect Claude to Retellai using the API key sign-in method. Access is set to least privilege, so Claude sees only the data each workflow needs, and keys are stored securely.
Workflow Design
We design the end-to-end process across Retellai and your other systems, such as Microsoft 365, your CRM or ticketing tool. We agree which actions run automatically and which need a person's approval.
Testing Against Real Cases
We test the workflow using past call transcripts from your business. We check summaries, insights and drafts for accuracy and adjust prompts and rules until results meet your standards.
Launch, Monitoring and Training
We launch with audit logs and monitoring in place, then train your team on how to use the workflow and review its outputs. We continue to tune the workflow as your needs change.
Who benefits
- Customer Service Director
- Gains a clear, up-to-date view of customer issues and call themes without manual review.
- Sales Manager
- Receives consistent call insights that make coaching faster and more targeted.
- Operations Lead
- Cuts the time spent on call notes and follow-up admin across the team.
- IT Head
- Keeps control of access and data through least-privilege permissions and audit logs.
Security and control
- Access is limited to the call data each workflow needs, following least-privilege principles.
- Sign-in uses the Retellai API key method, with keys stored securely and rotated on a regular schedule.
- Customer-facing messages and consequential actions require human approval before they are sent.
- Every action Claude takes is recorded in an audit log that your team can review.
- Monitoring alerts your team to unusual activity so issues can be addressed quickly.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude workflow in their chosen region to support their data handling requirements. In India, we align workflows with the Digital Personal Data Protection Act, 2023, including consent and purpose limits on personal data in call recordings. Organisations in the UAE and Saudi Arabia can work with data protection laws in those countries, and we select a hosting region that meets their requirements.
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 Retellai MCP server do?
The Retellai MCP server acts as a secure bridge between Claude and your Retellai account. It lets Claude read call transcripts and conversation data and carry out permitted actions. Access follows the permissions you set, so the connection only does what your organisation has approved. It is a practical way to bring call data into everyday AI-assisted workflows.
Is connecting Claude to Retellai secure?
Security depends on how the connection is set up. We use the API key sign-in method, limit access to least privilege, store keys securely and record every action in an audit log. Consequential actions can require human approval. We also help you align the setup with your internal security and data protection policies.
What can Claude do with Retellai once connected?
Typically, Claude can read transcripts, summarise calls, extract common themes and key insights, answer plain-language questions about conversations and draft follow-up messages. With a direct API connection, it can also support your AI agents and chatbots. The exact scope is set during design and limited to what your workflow needs.
How long does setup take?
Timelines vary with the number of workflows and systems involved. A focused setup covering one or two workflows often takes a few weeks, including the audit, secure connection, testing against real transcripts and team training. Larger, multi-system projects take longer. We confirm a timeline after the free automation audit.
Which plan or permissions do I need?
Generally, you need an active Retellai account with the access level that allows API key generation for the data your workflow uses. The specific plan and permissions depend on your current Retellai setup and the features you want to use. During the free automation audit, we check your account and confirm what is needed.