junipr

Run Lighthouse audits for URLs and export performance, accessibility, best-practices, SEO, PWA scores, diagnostics, and report artifacts.

Audit anchor and head link rel attributes, external target safety, affiliate hints, and duplicate head declarations.

Check for llms.txt / AI crawler policy guidance and produce structured readiness reports.

Extract business name, address, phone, hours, geo signals, and LocalBusiness schema consistency from location pages.

Snapshot local competitor service pages and extract services, geography, proof, CTAs, offers, reviews, media, and page-positioning evidence

Audit city/service landing pages for metadata, structure, internal links, schema, and content quality signals.

Audit city/location landing pages for local SEO completeness, local evidence, service fit, contact clarity, internal links, and conversion readiness

Extract visible local-pack/map-pack business entries, rankings, categories, ratings, reviews, addresses/service areas, and linked URLs from search...

Extract visible review snippets, ratings, dates, reviewer display names, source pages, and common review themes from public local business pages

Audit LocalBusiness, Organization, PostalAddress, OpeningHours, Review, and service-area schema coverage against visible page content

Combine local page, citation, schema, review, and competitor evidence into a transparent local SEO priority backlog with scores and recommended next...

Audit local business pages, local schema, location consistency, and local search readiness signals from supplied HTML snapshots.

Audit multi-location pages for consistent addresses, hours, schema, titles, and location content.

Find and inventory public product manual PDFs from product pages, support libraries, sitemap URLs, and documentation directories.

Convert Markdown to clean HTML with GitHub-flavored Markdown, tables, task lists, syntax highlighting, sanitization, and downloadable outputs.

Check product listing images for dimensions, missing variants, background issues, duplicates, and visual readiness.

Extract public marketplace seller and storefront details including seller name, products, ratings, review counts, policies, badges, categories, and profile links.

Scan MCP connector manifests, server metadata, tool schemas, auth metadata, and sample responses for compatibility issues, missing fields, unsupported patterns, schema problems, and client-readiness warnings.

Classify MCP/tool-call errors into normalized categories such as auth, validation, timeout, rate limit, transport, schema, tool execution, permission, dependency, and unknown, with evidence and remediation hints.

Check supplied MCP server docs, manifests, metadata, or endpoint descriptions for OAuth capability signals, supported flows, scopes, token handling notes, PKCE support, and auth compatibility warnings.

Audit tools/actors for MCP and AI-agent readiness: schemas, docs, examples, tasks, and outputs.

Run a safe bounded endpoint readiness check against an MCP server endpoint or manifest and report whether the server responds, exposes usable tools, and returns sane metadata.

Normalize MCP tool responses into consistent structured records by parsing content blocks, JSON payloads, text responses, attachments, errors, metadata, and schema-mapped output fields.

Generate structured MCP-style tool manifests from supplied tool definitions, OpenAPI-like docs, JSON schemas, Markdown docs, or existing function definitions.