"Understanding the term 'throw' in web contexts" matching MCP servers:

MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.

Records Chrome network requests and responses for LLM knowledge bases, and exposes query and browser control capabilities via MCP tools like list_sessions, navigate, and evaluate.

MCP server that provides web search via LLM API gateways with server-side search, returning cited answers and multi-provider fallback.

Provides read-only access to Chinese A-share stock market data such as quotes, K-lines, financials, capital flows, news, and research reports via a stdio MCP server for DeepSeek Harness and other MCP clients.

MCP server for US immigration guidance — live Visa Bulletin, priority date checker, and immigration term explanations powered by official government data

Long-term persistent memory for AI agents with hybrid search (DiskANN + FTS), bi-temporal knowledge graph, and 81.1% LongMemEval accuracy.

Browser automation for AI agents via the Model Context Protocol, enabling web navigation, form filling, screenshots, and more using Chromium.

An MCP server for codebase context that gives AI coding agents structural understanding through symbol graph, semantic search, blast radius, and convention detection tools.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

A modern community hub with forum and knowledge base. Native MCP built-in, ready for the next era of internet culture.

Exposes 24 stateless domain and network diagnostic commands as MCP tools, providing the same evidence as the dug.sh web app and curl endpoints.

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.

Provides long-term local memory for AI coding agents via MCP, enabling persistent recall of preferences and project facts across chat sessions.

Enables interaction with Joplin notes through MCP, allowing searching, creating, updating, and deleting notes via the Joplin Web Clipper API.

Minimal long-term memory MCP server for AI assistants backed by SQLite FTS5 full-text search, optional hybrid vector retrieval, scoped memory graphs, and VSCode extension.

MCP server that provides product and web analytics capabilities, allowing AI coding assistants to query funnels, retention, trends, feature flags, A/B tests, and more in natural language.

A single MCP server with 40 tools across 7 categories - PM, Research, Brand, UX, GTM, File, and Web. Built in Go, zero dependencies, one binary. Handles file operations, web fetching, screenshots, search, and planning workflows through one MCP connection.

Search, read, (bulk) edit the documents and metadata in your Paperless NGX instance.

Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.