"A tool for file search and web searching" matching MCP servers:

An MCP server that enables file system search and inspection, including directory listing, regex-based file name and content searches, and reading text, PDF, and DOCX files.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.

Search local file contents recursively with keyword matching

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

Enables natural-language search over locally indexed files such as markdown, text, images, videos, and PDFs, and retrieves indexed text or media metadata by path. It lets Cursor query a local embedding index built with Gemini and SQLite.

Provides a web search tool with citations by running Claude Code CLI in an isolated Docker container, enabling search even in environments without direct Anthropic web search support.

Enables real-time web search via DeepSeek's search-enhanced dialogue, providing search results as answers through MCP tools.

Enables web search across multiple search engines (DuckDuckGo, Bing, Startpage) with parallel execution and result deduplication. Also provides web page content extraction capabilities.

Enables web searching through Google, DuckDuckGo, and Bing using a headless Chrome browser, returning structured results with titles, URLs, and snippets. Also supports fetching and extracting text content from any webpage.

Enables free web searching using Google search results without the need for API keys or authentication. It returns structured data including titles, URLs, and descriptions with configurable result limits.

An experimental MCP search server for Claude Code. Returns raw, verbatim web content instead of AI-rewritten summaries.

Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.

Provides 19 tools for web search, content fetching, and extraction, including DuckDuckGo search, YouTube transcripts, and webpage screenshots.

Provides ad-filtered web search and full-page content reading, including multi-page and JavaScript-rendered pages, with source verification and configurable search providers.

A self-hosted MCP server for web search with multi-engine support, combining search, URL fetching, and deep research along with proxy routing and deduplication.

A local stdio MCP server that exposes DeepSeek's Web Search and Fetch APIs, letting AI clients run structured web queries, fetch page contents, and receive DeepSeek's raw JSON responses unfiltered and untruncated. It supports filtering by site, language, and date range, with configurable timeouts and retries.

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

An MCP server that enables Claude Code to perform web searches via Bing, read webpage content, and get current time, with a smart search skill for structured multi-source verification.

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

Enables AI coding assistants to perform multi-engine web searches, site-specific searches, and structured webpage content extraction via MCP stdio, without requiring any API keys.

Enables ChatGPT to save conversation attachments, generated files, and images directly into a configured local macOS project directory with OAuth-secured MCP access.

Enables comprehensive web searching and content extraction using multiple search engines (Bing, Brave, DuckDuckGo) without API keys. Provides tools for full web searches with content extraction, quick search summaries, and single webpage content retrieval.

Enables web search capabilities by integrating with the local gemini-cli tool. Provides access to Gemini's Web Search Tool functionality through the Model Context Protocol.

Enables AI agents to run local multi-engine web searches, fetch pages through anti-bot fallback chains, and query site-specific sources such as GitHub, npm, PyPI, Docker Hub, and Twitter/X for structured results.

Provides Google search and web content viewing with advanced bot detection avoidance using rebrowser-puppeteer.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Provides local web search (Baidu, Bing, 360, Sogou), page scraping to markdown, and image description via LM Studio vision models, all without external APIs and with disk caching.

Enables semantic search over personal files using natural language, with optional AI summarization, all running locally.