"Extracting Images from Search Results" matching MCP servers:

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Universal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.

Enables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.

An MCP server that exposes an Agno agent with Google Gemini reasoning and Serper web search, enabling MCP-compatible clients like Claude Desktop to perform agent-driven web searches and receive synthesized answers.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.

A Model Context Protocol Server search realtime flight detail with multiple fligh carrier, price , stop , time duration for any given date using simple prompt

Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.

Exposes SearXNG web search and query autocomplete to AI clients, returning ranked results, instant answers, and suggestions with filters for category, language, time range, engines, page, and safe search. It is distributed via npx and requires a self-hosted SearXNG instance with the JSON format enabled.

Enables free-first web search in English and Chinese with no API key required, returning compact multi-source evidence while keeping provider failures, stop reasons, and budget limits visible. Optional paid providers are used only when routing policy and credentials allow.

Enables web search for the pi coding agent using z.ai GLM native search with a DuckDuckGo fallback.

Enables free-first English and Chinese web search through zero-key sources, returning bounded multi-source evidence with visible provider failures and optional paid escalation under policy.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Enables English and Chinese web search through zero-key sources plus optional paid providers, returning compact multi-source evidence with visible provider failures and bounded request and evidence budgets.

Enables free-first English and Chinese web search through zero-key engines plus optional paid providers, returning compact multi-source evidence with bounded token and request budgets. Each result exposes provenance, independent source counts, routing decisions, and visible provider failures so agents can verify claims rather than receive unexplained empty results.

Enables parallel research across multiple cheap AI worker models, splitting a question into sub-questions and synthesizing one sourced answer with references.

Enables clients of tool-heavy MCP aggregators to find and use upstream tools on demand through four fixed bridge tools (search, describe, call, refresh), cutting per-turn tool context from ~180k tokens to ~2–3k. It merges multiple upstream servers behind sticky sessions and a local lexical BM25 index, so only the schemas actually needed are retrieved.

Enables free-first English and Chinese web search without any API key, returning compact multi-source evidence that preserves provenance, source-family counts, and visible provider failures. Request and evidence budgets bound each query, while optional paid providers run only when an explicit routing policy and credentials allow.

Enables MCP clients that lack built-in search — such as Claude Code through Bedrock or local LLM clients — to run web queries against Amazon's operated search index via a Gateway deployed in your own AWS account, with queries never leaving AWS and citation URLs preserved. Supports IAM/SigV4, Cognito, and API key authentication, per-gateway rate limits, IP and domain restrictions, and result filtering by domain and publication date.

Enables free-first English and Chinese web search through zero-key sources with optional credentialed providers, returning compact multi-source evidence, visible provider failures, and bounded request/evidence budgets.

Replaces DSH's built-in web_search with pluggable MCP search backends such as Tavily, Brave, Exa, Perplexity, DuckDuckGo, or custom HTTP/stdio servers. Users configure providers in the settings UI with secure credential references, while the model keeps calling the native web_search tool.

An MCP server that enables AI models to search the web using OpenAI's 4o-mini Search model, allowing access to up-to-date information for just a few cents per search.

A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.

Enables Claude Code environments lacking built-in web search to run web searches through the locally installed and authenticated Antigravity CLI, returning concise answers with real source links.

A standalone MCP gateway/proxy server that lets any MCP-compatible client search and call tools across multiple downstream MCP servers through a single mcp proxy tool.

Enables AI assistants to perform basic and advanced web searches through the Exa API, returning real-time Markdown-formatted results with titles, URLs, publication dates, and content summaries. Supports filtering by domains, required text, and date ranges for more targeted searches.

Enables AI assistants to run basic and advanced web searches through the Exa API, with filtering by domains, required text, and date ranges. Returns real-time, markdown-formatted results including titles, URLs, publication dates, and content summaries.

Enables AI assistants to perform basic and advanced web searches through the Exa API, returning real-time Markdown-formatted results with titles, URLs, publication dates, and summaries.

Enables AI assistants to run basic and advanced web searches through the Exa API, with filtering by domains, required text, and dates, and returns real-time Markdown-formatted results including titles, URLs, publication dates, and content summaries.