"Mirelia Patent Search" matching MCP servers:

Enables conversational patent data analysis through a set of tools for trend analysis, clustering, word cloud generation, and more. Allows natural language queries to explore patent datasets with structured results and visualizations.

Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.

Integrates with Google Search Console to enable querying search analytics, comparing performance periods, generating visual reports, and identifying SEO optimization opportunities through natural language.

Connects Google Search Console to AI assistants, enabling SEO data analysis through natural language conversations.

Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.

Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.

Enables interaction with FHIR R4 healthcare data through SHARP-on-MCP tools, including search, read, and clinical context aggregation, with built-in Chart.js dashboards for visualizing lab trends, vitals, and patient data.

A full-feature MCP server that serves as a product-development copilot, providing RAG search, SQL queries, and inline chart visualizations from seeded product data, with per-user identity and its own OAuth login.

Provides tools to search, query, and visualize Prometheus metrics, returning results in JSON format for AI analysis.

Enables AI agents to synthesize heterogeneous search results into interactive comparison layouts (Genspark Sparkpages) through the Model Context Protocol, with deterministic, zero-dependency execution.

Enables interactive learning and visualization of Binary Search Trees and AVL Trees through operations like insertion, deletion, and tree traversal, with real-time balancing rotations.

Enables storage and semantic search of facts, and interactive 3D visualization of embeddings via MCP tools.

Enables AI agents to perform deterministic search synthesis and compile Sparkpage layouts into comparison matrices and ready-to-render HTML interfaces through a zero-dependency Python MCP server. Plugs into Claude Desktop, Cursor, and other MCP clients for structured, low-latency output with execution telemetry.

Enables natural-language querying of F&S idea data in Joule Work Desktop, supporting idea search, detail retrieval, and dashboard KPIs.

Enables autonomous agents to synthesize heterogeneous search results into interactive comparison layouts (Genspark Sparkpages) via MCP, with deterministic JSON schema validation and zero-dependency execution.

Enables AI agents to perform dynamic search synthesis and compile Sparkpage layouts into comparison matrices and HTML interfaces, running deterministically with zero external dependencies over the Model Context Protocol.

Provides stock market data (search, quotes, real-time, charts) for A-share, Hong Kong, and US stocks via MCP tools.

Enables read-only access to Google Analytics 4 and Google Search Console data, allowing users to run reports, query search analytics, and generate combined snapshots for reporting.

MCP server for Google Search Console, providing tools for site properties, search analytics, URL inspection, sitemaps, and audit reports.

Enables users to fetch, analyze, and visualize RAOB upper-air sounding data, including station search, thermodynamic calculations, and Skew-T diagram generation with S3 upload support.