"Using llama.cpp and Searxng with local models" matching MCP servers:

Enables Claude Code to query locally hosted Qwen models on Apple Silicon Macs for drafting, translating, summarizing, or a second opinion, with an optional deeper-thinking mode for harder problems.

Enables privacy-friendly web searches through the SearXNG engine, with support for multiple engines, categories, languages, time ranges, and configurable result counts.

An MCP server for connecting agentic systems to search systems via searXNG.

A minimal MCP server that exposes a run_command tool over stdio, enabling command execution within a Docker container.

An MCP server for SearXNG that provides web search capabilities with concise model-visible output while preserving full result payloads in metadata. It supports search, parallel fetching, URL extraction, and research workflows through both local stdio and streamable HTTP transports.

Enables MCP clients to perform web searches through a self-hosted SearXNG instance, offering privacy-focused metasearch without API keys or vendor lock-in.

Adds web search to Claude Desktop through a user-selected SearXNG instance, with engine and category selection, language and time-range filters, and bounded result counts.

Provides web search capabilities using SearxNG, allowing AI assistants like Claude to search the web with a privacy-respecting metasearch engine.

Enables web search through a SearXNG instance via MCP, returning search result summaries.

A minimal MCP server that exposes a private SearXNG instance as a search tool over streamable-HTTP, enabling web search from the llama.cpp WebUI or any compatible MCP client.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Provides LLM-free search, fetch, and rerank tools over any reachable SearXNG instance, returning extracted, deduplicated, cross-encoder-reranked results with citation-ready markers and coverage signals. Lets agent hosts such as Open WebUI, Claude, or tool-calling models drive their own iterative research loop while sharing one deterministic retrieval and ranking core.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Privacy-focused web search MCP server using SearXNG with Streamable HTTP transport, supporting authentication and advanced search parameters.

Enables privacy-preserving web search and content extraction through a self-hosted SearXNG instance, aggregating 70+ engines and converting pages to Markdown for LLM use.

Integrates with SearXNG metasearch engine to provide powerful web search capabilities across multiple search engines with filtering options for categories, languages, time ranges, and safe search levels. Enables comprehensive web searches, autocomplete suggestions, and search engine configuration access through MCP-compatible applications.

MCP server that exposes SearXNG search and HTTP fetch tools for AI agents, enabling web search and clean page text extraction via natural language.

Enables privacy-respecting web searches through SearXNG metasearch engine with customizable parameters like language, time range, categories, and engines. Supports safe search levels, pagination control, and basic authentication for secure search operations.

Enables privacy-respecting web, image, video, and news searches through SearxNG metasearch engine, with options for URL fetching and time filtering.

Enables clients to list available tools and run searches against a configured SearXNG instance, returning JSON results over either STDIO or HTTP transports.

A TypeScript-based MCP server for SearXNG that allows users to create and summarize text notes using simple URIs and metadata, facilitating natural language interaction with stored content.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Enables downloading, configuring, benchmarking, starting, and stopping local GGUF llama.cpp model profiles through MCP tools, while exposing an OpenAI-compatible API for using the running models.

Gives coding agents a single search tool backed by a self-hosted SearXNG instance, parsing and scrubbing queries, merging duplicates, and ranking results with BM25F plus optional decision-model reranking. Returns compact, token-efficient results with relevance bands, engine warnings, and optional stop/refine/broaden hints.

An MCP server that enables web search capabilities by integrating with a SearXNG instance to aggregate results from over 130 engines. It allows users to perform filtered searches across categories like news, science, and social media while supporting advanced parameters for language and time range.

Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.

Enables web search through SearXNG instances, offering tools for general and category-specific queries, engine selection, time filtering, and engine discovery.

A Model Context Protocol server that enables web search with category support, website content scraping with citation metadata, and timezone-aware date/time tools.

Enables AI agents to perform privacy-respecting web searches through SearXNG, with support for multiple search engines, categories, and advanced filtering options.