"LinkedIn search functionality" matching MCP servers:

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.

Enables AI assistants to connect to YNAB budgets, providing tools for accounts, transactions, categories, payees, and analytics, including search, bulk operations, and delta sync.

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.

Connects to email inboxes via IMAP so Claude can search mail, extract receipts and invoices, and build categorized spending spreadsheets and offline dashboards. It also supports incremental sweeps and secure, read-only, in-memory credential handling.

Enables AI assistants to authenticate against a cloud geospatial analysis platform, search and inspect its datasets, render them as maps, and compute statistics over specified regions. It exposes these capabilities as MCP tools that can be dropped into any Next.js project via a route-based adapter.

Enables open-access academic paper search and lookup via arXiv and OpenAlex, plus journal-quality color palettes for scientific figure styling.

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.