The Level Access Model Context Protocol (MCP) server provides a set of tools that allow you to interact with data in the the platform. These tools are designed to support common workflows such as discovering assets, retrieving scan and evaluation results, and analyzing accessibility trends at scale.
Build MCP integrations that surface accessibility data where your teams already work—helping you automate reporting, accelerate analysis, and make accessibility insights more actionable.
On this page:
- Workspace and asset management
- Automated scan data
- Manual evaluations
- Rules and metrics
- Effective use of MCP tools
Workspace and asset management
These tools help you understand what workspaces and digital assets are available and retrieve issue-level details tied to them.
You can:
- Identify which workspaces you can access.
- Retrieve digital assets within a workspace.
- List accessibility issues associated with a specific digital asset.
- Retrieve detailed information about an individual issue.
Common use cases
- Enumerate assets to scope automated or manual testing workflows.
- Pull issue data to enrich internal dashboards or ticketing systems.
- Support asset-level analysis across large portfolios.
Automated scan data
These tools allow you to work with automated accessibility scans and their results across supported testing engines.
You can:
- Search for automated scans within a digital asset, with filters such as date, title, or URL.
- Retrieve scan summaries, including overall scores and findings counts by rule.
- Retrieve detailed scan findings (flaws), grouped by rule, with filtering options such as severity, standard, or status.
Supported scan engines include:
- Access Engine
- axe
- IBM
- WAVE
Common use cases
- Build automated reporting pipelines.
- Compare scan results over time.
- Extract findings data for remediation tracking or QA workflows.
Manual evaluations
These tools provide access to manual accessibility evaluation data, complementing automated results with human-validated findings.
You can:
- Search for manual evaluations within a digital asset.
- Retrieve detailed findings from a specific manual evaluation.
Common use cases
- Combine automated and manual findings into a single view.
- Analyze evaluation results outside the Level Access UI.
- Support governance or audit workflows that require manual validation data.
Rules and metrics
These tools support deeper analysis and reporting by exposing rule metadata and aggregated metrics.
You can:
- Retrieve detailed information about accessibility rules, including descriptions, severity, and success criteria.
- Retrieve platform metrics at the digital asset, workspace, or organization level, including findings counts and severity distribution.
Metrics can be filtered by:
- Timeframe
- Frequency
- Data source (automated or manual)
Common use cases
Normalizing findings data across different scan engines
Building trend analysis or executive-level reporting
Supporting internal analytics or accessibility KPIs
Effective use of MCP tools
Each tool is designed to be composable. In practice, most integrations:
- Discover workspaces and digital assets
- Retrieve scan and evaluation data for those assets
- Enrich findings using rule metadata
- Aggregate results using platform metrics
This layered approach allows you to tailor MCP integrations to your organization’s workflows—whether that’s reporting, remediation tracking, or continuous monitoring.
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