Data & Analytics · OData + Claude
OData MCP with Claude: Query and Update Business Data Through Plain Language
The short answer
Claude works with OData through the Model Context Protocol (MCP), a secure standard that acts as a universal adapter. Once connected, Claude can discover the service structure, list entity sets, query records and, where permitted, create or update data, all from natural-language requests.
What is OData?
OData is a web protocol that exposes business data over HTTP, using the OData V2 format. It makes information from databases and business applications available to other software in a consistent way. It is widely used by IT teams, developers and analysts who need structured access to enterprise data. Each exposed service publishes metadata describing its entity sets, so tools can understand what data is available before requesting it.
How Claude connects to OData through MCP
The Model Context Protocol (MCP) is an open standard that lets Claude use other software securely, reading information and taking actions with permissions the organisation controls. For OData, an MCP server sits between Claude and your data service, translating Claude's requests into proper OData calls. Where a direct API connection is more suitable, we use that instead.
Once connected, Claude can first read the service metadata to learn which entity sets exist and how their fields are named. It can then list entity sets, query records using filters, and summarise the results in plain English. Where your policy allows, Claude can also create or update records, for example adding a new customer contact or correcting a order status.
Permissions and approvals keep people in charge. Access uses Basic sign-in with a dedicated service account that has least-privilege rights, so Claude sees only the entity sets it needs. Write actions can require human approval before they run, and every request is recorded in audit logs that your IT team can review.
What you can automate
Finance reporting on demand
A finance manager asks Claude for all open invoices over a set value from the past month. Claude queries the relevant entity sets through OData, groups the results by supplier and presents a short summary. The team gets answers in minutes rather than waiting for a scheduled report, and can ask follow-up questions in the same conversation.
Customer record updates
A customer service lead needs to correct contact details across several records. Claude finds the matching entities, shows the proposed changes for review, and updates them once approved. This reduces repetitive data entry and lowers the risk of typing errors when many records need the same correction.
Operations status checks
An operations head wants to know which orders are delayed and why. Claude queries order and shipment entity sets, identifies items past their promised dates and lists them by region. The operations team can then decide which escalations to raise, based on current data rather than a report prepared days earlier.
Data discovery for IT teams
A new analyst does not know how a data service is organised. Claude reads the service metadata and explains which entity sets exist, what their fields mean and how they relate to one another. This shortens onboarding and reduces the number of questions that reach senior developers.
Quality checks on master data
A data steward wants to find products missing key attributes. Claude scans the relevant entity set for empty required fields and produces a list grouped by category. Stewards can then assign owners to fix each gap, making regular data quality reviews faster and more consistent.
An end-to-end workflow: Monthly supplier payment review
TriggerFinance lead asks Claude in chat to prepare the month-end supplier payment list.
Claude reads the OData service metadata to confirm the invoice and supplier entity sets.
Claude queries approved invoices due in the period and matches them to supplier records.
Claude flags invoices with missing purchase order references and lists them separately.
The finance lead reviews the list and approves any corrections, which Claude writes back to the records.
Claude posts a summary to the team's Microsoft 365 channel and logs the review in the audit trail.
OutcomeMonth-end payment preparation takes a fraction of the usual time, with fewer missing references and a clear record of who approved each correction.
How we set it up
Free automation audit
We review your current data workflows and identify which OData services and tasks are worth automating first. You receive a clear written recommendation at no cost.
Secure connection design
We decide whether an OData MCP server or a direct API connection suits each service. Access is set up with Basic sign-in using a dedicated service account with least-privilege permissions.
Workflow design
We map the end-to-end process across OData and your other systems, such as Microsoft 365, CRM, ERP or ticketing. We define which actions Claude can take alone and which need human approval.
Testing with real cases
We test the workflow against past real examples to confirm accuracy, then refine prompts, filters and approval rules based on the results.
Launch and team training
We launch with monitoring and audit logging enabled, then train your team on how to use Claude with your data safely and effectively.
Who benefits
- Finance managers
- Faster access to reconciled data and reporting without waiting for scheduled extracts.
- Customer service leads
- Quicker record lookups and bulk corrections with review before changes are saved.
- IT and integration teams
- Simpler discovery of data services and fewer ad hoc requests for developer time.
- Data stewards
- Regular, consistent quality checks that highlight gaps for owners to resolve.
Security and control
- Dedicated service accounts with least-privilege access, limited to the entity sets each use case needs.
- Human approval for write actions such as creating or updating records.
- Complete audit logs of every query and change for review by IT and compliance teams.
- Monitoring and alerts to spot unusual request volumes or failed sign-in attempts.
- Credentials stored in managed secret vaults rather than in prompts or shared documents.
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, supporting their existing data protection obligations. India-based organisations are supported under the Digital Personal Data Protection Act, 2023, with hosting in India where required. Companies in the UAE and Saudi Arabia are supported under their local data protection laws, with hosting chosen to meet those requirements. Hosting location is always selected to suit your regulatory 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 OData MCP server do?
An OData MCP server acts as a translator between Claude and your OData service. It lets Claude read the service metadata, list entity sets and query records using proper OData requests. Where needed, it also supports creating or updating records. The server only exposes the actions and data you permit, so Claude works within the boundaries your IT team sets.
Is connecting OData to Claude secure?
Security depends on how the connection is designed, and we build it with that in mind. We use Basic sign-in with a dedicated service account, least-privilege permissions, approval for write actions and full audit logging. Credentials are kept in managed secret stores. Your IT team reviews the design before launch, so you can confirm it meets your internal standards.
What can Claude actually do with my OData service?
Once connected, Claude can discover the service structure, list available entity sets, query records with filters and summarise results in plain language. Depending on the permissions granted, it can also create or update records. Typical uses include reporting, record lookups, bulk corrections and data quality checks, always within the access you approve.
How long does setup take?
Timing depends on how many services and workflows are involved and how complex your approval rules are. A focused single-service setup is often completed within a few weeks, including testing and training. We confirm a realistic timeline during the free automation audit, once we understand your data landscape and requirements.
What access or permissions do I need?
In general, you need a data service account that supports Basic sign-in and the permissions required for the entity sets involved. We recommend read-only access first, adding write permissions only where a workflow requires them. The audit confirms exactly what is needed for your service, and your IT team approves the account before it is connected.