"Information about Ollama" matching MCP servers:

MCP server for private web search via self-hosted SearXNG with local reranking, full-page content fetching via Firecrawl, and optional Ollama-powered query expansion and summaries.

Exposes Ollama's web search API as a web_search tool for Claude Code, enabling web searches (including sites other backends miss) with query and optional count parameters.

Enables MCP clients to search the live web and fetch any URL as clean text through Ollama's web search and fetch APIs, returning ranked results with page text and outgoing links. Runs as a single dependency-free stdio server, so agents can ground their answers with current web content without a separate search vendor.

Enables web search and page content extraction through Ollama Cloud's APIs, including a combined search-and-fetch tool, with retries, timeouts, and safe error handling for MCP clients.

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

MCP server exposing web_search, web_fetch, and cluesift_domain_fetch tools with configurable Ollama API keys and HTTP or stdio transport.

Enables MCP-compatible AI assistants to manage and use local or cloud-hosted language models, including listing and pulling models, chatting, generating text and embeddings, and performing web search and fetch operations.

Enables MCP clients to search the web and fetch individual pages through two stdio tools, returning ranked results or extracted page content, titles and outbound links. It wraps a hosted, API-key-authenticated service (or a local daemon) with zero runtime dependencies.

Exposes the complete Ollama SDK as MCP tools so MCP clients like Claude Desktop and Cline can manage models, run chat and text generation, create embeddings, and access cloud-based web search and fetch. Supports local, cloud, and hybrid deployments through host and API key configuration.

Exposes the complete Ollama SDK as MCP tools, letting MCP-compatible clients manage, run, and chat with local or cloud-hosted LLM models, generate embeddings, and perform web search and page fetching. Supports model listing, pulling, creating, and deletion, plus hybrid local-and-cloud configurations.

Enables AI agents to automate web browsers using local Ollama models via the Model Context Protocol, supporting tasks like web search, data extraction, and e-commerce analysis through natural language commands.

Enables MCP-compatible clients such as Claude Desktop and Cline to manage and interact with local or cloud-hosted Ollama models via tools for model administration, chat, text generation, embeddings, and web search/fetch.

Enables browser automation, web content extraction, and LLM-powered data transformation using Playwright. Supports session management, authentication flows, and works with local LLMs (Ollama, JAN AI) or external providers to clean and structure extracted web data.

Exposes the complete Ollama SDK as MCP tools, enabling MCP-compatible applications to manage and run local or cloud models, generate text, chat, create embeddings, and use web search/fetch.

Exposes the complete Ollama SDK as MCP tools for model management, text generation, chat, embeddings, and optional cloud web search/fetch. This enables MCP-compatible applications to interact with local, cloud, or hybrid LLM models.

Enables MCP-compatible applications to manage local and cloud language models, run text generation and chat, generate embeddings, and perform web search and content fetching.

Enables MCP-compatible applications to manage local and cloud Ollama models and perform model operations, chat, text generation, embeddings, web search, and web content fetching.

Exposes the complete Ollama SDK as MCP tools, enabling MCP-compatible assistants to manage local and cloud models, run chats, generations, and embeddings, and perform web search and fetch operations.

Bridges Ollama's capabilities with MCP-compatible clients, enabling web search and content fetching to provide real-time information and reduce hallucinations.

Enables MCP-compatible clients to manage, run, chat with, generate from, and embed using local or cloud LLMs, plus perform web search and fetch through Ollama Cloud.

Modular MCP toolbox that gives AI agents controlled access to shell, files, Git, Ollama, Shopify, vision, browser automation, and more — 12 FrankenTools.

Enables local interaction with Ollama models through a ChatGPT-style web interface and MCP tools, including chat, generation, embedding, web search, webpage extraction, and safe utility functions.

Enables web searches using TAVILY API with fallback to DuckDuckGo, datetime queries, and optional Ollama AI processing. Features HTTP transport with OAuth2 authentication for secure access to search capabilities.

Enables local Ollama models to drive Playwright browsers and write tests from natural language, with automatic locator healing, all without sending data to cloud AI.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.

Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.

Enables AI agents to search Kagi using a personal Kagi Session Link, providing web search results and account lens information.

Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.