"DNS Doctor" matching MCP servers:

Renders HTML in a headless browser and detects layout defects numerically, such as text overlaps, placeholder leftovers, and element overflow, without requiring baseline images.

Enables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.

Website audits for AI agents: cookie consent and tracking, Core Web Vitals and lost revenue, WCAG 2.2, email/DNS security (SPF, DMARC) and AI-search readiness, merged into one prioritised fix plan.

Diagnose, secure, and benchmark your MCP servers. Zero-config CLI for Claude Code, Cursor, VS Code, and Windsurf.

Enables interaction with Webhook.site to create, manage, and monitor endpoints for capturing HTTP requests, emails, and DNS lookups. It provides 16 tools for testing webhooks and inspecting incoming data through the Model Context Protocol.

Programmatic email deliverability testing for AI agents. Create inbox placement tests across Gmail, Outlook, Yahoo, Mail.ru, Yandex — get per-provider placement (Inbox/Spam/Promotions), SPF/DKIM/DMARC auth, Rspamd & SpamAssassin verdicts, DNS health (MX, PTR, DNSBL), and live SSE results.

Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.

Enables desktop FDM 3D-printer users to deterministically estimate filament, time, energy, and cost; assess cantilever and container viability; compare failure costs; plan unattended print start times; and decide whether off-design or repaired parts should be kept, tested, or reprinted.

Enables an MCP client to inspect a local Python project directory, reporting its package-manager signals, local Python environment, and available tooling. It also runs Ruff lint and formatting checks and returns the outcomes as structured results, without modifying the project or installing dependencies into it.

Validates .mcp.json and claude_desktop_config files to catch duplicate server names, missing binaries, invalid environment variables, and unreachable endpoints. Reports each problem along with how to fix it, so silently failing MCP servers can be diagnosed and repaired.

Enables agents to lint exported n8n workflow JSON for security, structure, reliability, and Code node issues, outline workflow paths and branches, review safe auto-fixes, and triage failed executions through MCP tools.

Enables agents to inspect and diagnose their own MCP setup by exposing read-only tools that audit configured servers, report which coding agents have configs, surface misplaced or duplicated registrations, and list curated preset packs. It also powers CLI workflows for checking handshake, tool lint, and tool-surface quality scores of any stdio server.

Enables agents to list fleet packages, generate merged MCP configs, run production checklists and doctor reports, inspect catalog health, and execute release ship gates. It provides a single MCP interface for connecting and validating the production toolchain.

Enables checking a remote MCP server's OAuth sign-in chain from outside, identifying the first broken step, whose responsibility it is, and the fix, with client-specific verdicts for claude.ai, Claude Code, ChatGPT, VS Code, and Cursor.

Enables MCP clients to review Ceramic and ordinary websites with desktop/mobile browser QA, deterministic design and accessibility checks, optional visual judgement, and repeatable fix verification backed by preserved screenshots and reports.

Enables AI agents to perform one-shot triage of Playwright trace files, pinpointing root causes like backend API failures or locator issues and generating self-healing code fixes in a single low-token call.

Enables AI assistants to audit, profile, and govern dbt projects through natural language, including coverage scoring, schema drift detection, test suggestions, and non-destructive YAML documentation updates.

Enables AI assistants to audit dbt project health, profile data, detect schema drift, suggest tests, and auto-generate documentation through natural language. It consolidates coverage analysis, data profiling, and safe YAML updates into a single MCP interface.

Enables AI assistants to audit dbt project coverage and health, profile warehouse data, detect schema drift, suggest tests, and generate or safely update model documentation through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and auto-generate documentation and test suggestions through natural language. It provides tooling for coverage scoring, batched column statistics, and non-destructive schema.yml updates.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and auto-generate documentation through natural language. It combines coverage scoring, test suggestions, and non-destructive YAML updates in a single MCP server.

Enables AI coding assistants to assess dbt project health and test/documentation coverage, profile warehouse data, detect schema drift, suggest tests, and safely update schema.yml documentation through natural language.

Enables AI assistants to audit dbt project health and test coverage, profile data-warehouse columns, detect schema drift, and safely generate documentation and test suggestions into schema.yml files. It runs read-only warehouse queries and non-destructive YAML merges, all through natural-language conversation in Claude Desktop, Cursor, or other MCP clients.

It enables AI assistants to audit dbt project health, profile data, detect schema drift, suggest tests, and auto-generate documentation through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and safely generate or update schema.yml documentation through natural language.

Enables AI assistants to audit dbt project quality, profile warehouse data, detect schema drift, and auto-generate or update documentation and tests through natural language.

Enables AI assistants to audit a dbt project's health, profile warehouse data, detect schema drift, and generate tests and documentation through natural language. It scores documentation and test coverage, recommends dbt tests from column profiling statistics, and non-destructively merges results into schema.yml files while preserving existing comments and formatting.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, recommend tests, and safely generate or update schema.yml documentation through natural language. It provides project scoring, coverage rankings, and non-destructive YAML edits while preserving comments and existing configurations.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and suggest tests through natural language. It also auto-generates documentation and safely merges updates into schema.yml files while preserving existing comments and formatting.

Enables AI assistants to audit dbt projects for documentation, test coverage, and naming health, profile warehouse data, detect schema drift against the manifest, and non-destructively generate or update schema.yml documentation and tests through natural language.

Enables AI assistants to audit dbt project quality, profile warehouse data, detect schema drift, and safely generate or update model documentation and tests through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and safely generate or update model documentation through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and generate non-destructive schema.yml documentation and test suggestions through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and generate documentation through natural language. It provides read-only analysis and non-destructive YAML updates for dbt projects.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and auto-generate or update model documentation and tests through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and safely generate or update dbt documentation and tests through natural language.

Enables AI assistants to audit dbt project health, profile data, detect schema drift, suggest tests, and safely generate documentation through natural language.

Validates OpenAPI documents, JSON Schemas, and JSON payloads. Also compares OpenAPI specs and displays breaking changes.

A standardized MCP server designed for testing integration with the Des MCP Server Testing API. It allows AI agents to interact with testing endpoints using tools implemented via the Model Context Protocol.

Enables AI coding agents to perform real-browser accessibility scanning of localhost pages using Playwright and axe-core, returning WCAG 2.1 violations with structured fix plans.