Data & Analytics · Peaka + Claude
Peaka MCP with Claude: Query Scattered Business Data in Plain English
The short answer
Claude works with Peaka through the Model Context Protocol (MCP), an open standard that acts as a secure adapter between the two. Once connected with an API key, Claude can manage projects, inspect data connections, run queries and analyse metadata from natural language requests, within permissions your organisation sets.
What is Peaka?
Peaka is a data integration and AI platform. It brings together projects, data connections, catalogues, queries, metadata and analytics workflows in one place. Teams use it to unify scattered data from different systems so it can be queried from a single, governed workspace. Data, operations and analytics teams are typical users, especially where information sits in many places and needs one reliable view.
How Claude connects to Peaka through MCP
The Model Context Protocol (MCP) is an open standard that lets Claude use other software securely. Think of it as a universal adapter: it lets Claude read information and take defined actions in a tool, with permissions the organisation controls. The Peaka MCP server provides this bridge, and it is set up using an API key.
Once connected, Claude can typically help you manage projects, check which data connections are in place, run queries and look at metadata to understand what data is available. A person can ask a question in plain English, such as which sources feed a particular report, and Claude translates that into the right request inside Peaka.
Permissions and approvals keep people in charge. Access is limited to what the API key allows, so the consultancy designs least-privilege access from the start. Consequential actions, such as changing a connection or altering a project, can be routed for human approval, and activity is logged so the team can review what happened.
What you can automate
Answering data questions without raising a ticket
A finance or operations manager asks Claude a question about recent figures in plain English. Claude runs the relevant query through Peaka and returns a summary, saving the back-and-forth with the data team for routine requests. Complex or sensitive questions can still be escalated to an analyst.
Checking which data sources feed a report
Before a leadership report goes out, a team lead asks Claude which connections and sources sit behind a figure. Claude inspects the data connections and metadata in Peaka and explains the lineage in simple terms, helping reviewers trust the numbers and spot stale or missing sources early.
Keeping a data catalogue up to date
Data stewards often struggle to keep catalogues accurate. Claude can review metadata in Peaka, flag fields with missing descriptions or unused connections, and prepare a list for the steward to approve. People make the final changes, keeping the catalogue governed.
Onboarding new team members to available data
A new analyst asks Claude what data is available for customer reporting. Claude explains the relevant projects and catalogue entries in Peaka, so the newcomer can find the right sources quickly and make fewer mistakes in their first weeks.
Preparing routine analytics summaries
A regional manager receives a weekly summary drafted by Claude from queries run in Peaka. The draft highlights changes against the previous week and notes any data connections that failed to refresh. A person reviews the summary before it is shared with the wider team.
An end-to-end workflow: Weekly sales performance pack
TriggerEvery Monday at 7am, a scheduled request is raised for the sales operations team.
Claude uses the Peaka MCP connection to check that the sales data connections refreshed successfully over the weekend.
Claude runs agreed queries in Peaka that combine CRM opportunity data with order and invoice data from the ERP.
Claude compares results with the previous week and identifies notable movements by region and product.
Claude drafts a short summary and places the figures in a Microsoft 365 document for review.
The sales operations lead checks the draft, adds commentary and approves it before it is sent.
OutcomeThe leadership team receives a reviewed weekly pack on time, with fewer manual steps and a clear note of any data gaps. Typical teams report that preparation time falls, though results vary by setup.
How we set it up
Free automation audit
We review your current data workflows, identify where scattered information slows decisions, and agree which Peaka tasks are worth automating first.
Secure connection with an API key
We connect Claude to Peaka through the Peaka MCP server, using an API key issued for the purpose. The key is stored securely and scoped to the least access the workflow needs.
Workflow design
We design the end-to-end workflow across Peaka and your other systems such as Microsoft 365, CRM, ERP or ticketing, with people approving consequential actions.
Testing and launch
We test the workflow against real past questions and reports, then launch with monitoring and audit logs so you can see every action Claude takes.
Team training
We train your analysts and managers on how to ask good questions, review Claude's outputs and handle exceptions, so the workflow is used confidently from day one.
Who benefits
- Chief Data Officer
- A governed view of how data is used, with logged, permission-controlled access.
- Operations Manager
- Faster answers to routine data questions without waiting on the analytics queue.
- Data Steward
- Help keeping metadata and catalogues accurate, with final changes kept under human control.
- Finance or Sales Lead
- Reliable, reviewed summaries built from unified data, prepared on a regular schedule.
Security and control
- Access is limited by the API key, following least-privilege principles.
- Consequential changes to projects or connections can require human approval.
- Every action is recorded in audit logs for review.
- Sensitive data handling is agreed up front, and we avoid exposing more data than a workflow needs.
- Outputs are reviewed by people before they inform decisions or reach external audiences.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom are supported under their own data protection regimes, with access and logging designed to match internal governance. Indian organisations are designed around the Digital Personal Data Protection Act, 2023. Companies in the UAE and Saudi Arabia are supported under local data protection laws. We choose the hosting region for any custom application to meet your data residency 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 Peaka MCP server do?
The Peaka MCP server is the bridge that lets Claude work with Peaka. It allows Claude to manage projects, inspect data connections, run queries and analyse metadata when asked in natural language. It operates within the permissions set by the API key, so the organisation stays in control of what can be accessed.
Is connecting Claude to Peaka secure?
Security depends on how the connection is set up. We use an API key scoped to the least access the workflow needs, store it securely, and log every action. Consequential changes can require human approval. We design these controls with your IT team before anything goes live.
What can Claude do with Peaka once connected?
Typically, Claude can help manage projects, review which data connections exist, run queries and look at metadata to explain what data is available. Users ask in plain English, and Claude carries out the request within the permissions granted. The exact scope depends on the access defined for your workflow.
How long does setup take?
Timelines vary with the number of workflows and systems involved. A focused first workflow often moves from audit to launch in a few weeks, including testing and team training. We confirm a realistic schedule during the free automation audit, once we understand your data landscape.
What access or plan do I need to start?
Generally, you need an active Peaka account and an API key with permissions suited to the work you want to automate. Requirements depend on your existing setup, so we check access during the audit and advise on the least-privilege key for your first workflow.