mcp server
accessibility-ai
Scan URLs for WCAG 2.1 violations, generate AI fixes, and produce VPAT 2.5 compliance reports.
Description as published by the maintainer. Source
- version 1.0.0
- active
- security
active — Most recent push to the repository was 2026-06-25. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
generate_fixes(scan_id, framework, anthropic_api_key)- Takes scan results and generates specific code fixes for each accessibility violation. Returns ready-to-apply code patches and a copy-paste summary for Claude Code or Replit Agent. Required: scan_id, anthropic_api_key.
generate_vpat(notes, scan_id, company_name, product_name, contact_email, evaluation_date, product_version, anthropic_api_key)- Generates a complete VPAT 2.5 EN 301 549 accessibility conformance report based on scan results. Returns structured JSON and a downloadable PDF (base64-encoded). Covers all EN 301 549 clauses; non-web clauses are marked Not Evaluated with professional notes. Required: scan_id, product_name, company_name, contact_email, anthropic_api_key.
re_verify(scan_id, anthropic_api_key)- Re-scans a URL after fixes have been applied and compares results against the original scan. Returns which violations were resolved, which persist, and any new issues introduced. Required: scan_id, anthropic_api_key.
scan_accessibility(url, max_pages, scan_depth, vision_mode, anthropic_api_key)- Scans a URL for WCAG 2.1 accessibility violations using DOM analysis (axe-core) and visual AI (Claude Vision). Returns structured violation data and a scan_id for use with other tools. Required: url, anthropic_api_key.
Last successful function declaration observed on . Source: https://accessibility.groundlogic.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://accessibility.groundlogic.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-06-25 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-25 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-06-25 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 4 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | accessibility.groundlogic.ai | |
| mcp endpoint status | ok | The server listed 4 functions when asked. | as of probe | accessibility.groundlogic.ai |
Where to get it
Related, by what their authors tagged them
-
com.fronesislabs/dcl-trust-oracle
— last commit 2026-08-06, shares mcp-servers, mcp-tools
Deterministic AI audit layer for LLM/agent outputs: policy checks, tamper-evident log, x402.
-
Glean Remote MCP Server
— last commit 2026-04-17, shares mcp-servers, mcp-tools
Remote MCP Server that securely connects Glean Enterprise Knowledge with your IDE, LLM, or agents.
-
Fragrance & Perfume MCP (Noteboxd)
— last commit 2026-07-31, shares mcp-servers, mcp-tools
Fragrance & perfume MCP: search fragrances, notes, accords, brands, perfumers, reviews & charts.
-
io.github.930m310n/geomelon-mcp
— last commit 2026-07-17, shares mcp-servers, mcp-tools
MCP server for the Geomelon geographic API — stdio and remote HTTP transports
-
io.github.930m310n/mcp
— last commit 2026-07-17, shares mcp-servers, mcp-tools
MCP server for the Geomelon geographic API — stdio and remote HTTP transports
-
io.github.hellosg/coderegistry
— shares mcp-servers, mcp-tools
Enterprise code intelligence for M&A, security audits, and tech debt. Hosted server with 200k free.
-
ai.smithery/neverinfamous-memory-journal-mcp
— last commit 2026-07-22, shares mcp-tools
A MCP server built for developers enabling Git based project management with project and personal…
-
ai.smithery/saidsef-mcp-github-pr-issue-analyser
— last commit 2026-08-05, shares mcp-tools
A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…
-
breaking-brake-cc-wf-studio-cc-workflow-ai-editor
— last commit 2026-08-02, shares mcp-tools
AI workflow editor for CC Workflow Studio. Create and edit visual AI agent workflows through interactive conversation u…
-
breaking-brake-cc-wf-studio-cc-workflow-ai-editor-ab36f3
— last commit 2026-08-02, shares mcp-tools
AI workflow editor for CC Workflow Studio. Create and edit visual AI agent workflows through interactive conversation u…
These share tags the maintainers applied themselves, such as mcp-servers, mcp-tools. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: mcp-server, mcp-servers, mcp-tools.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json