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

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

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

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.

Privacy-respecting web search MCP server for AI assistants using SearXNG, with web search, URL reading, instance failover, and caching.

An MCP server implementation that integrates the SearxNG API, providing web search capabilities.

Integrates SearXNG API to give AI assistants web search and URL reading capabilities.

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.

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 web search, image search, and news search through a self-hosted SearXNG instance. Provides privacy-focused meta-search capabilities aggregating results from multiple search engines.

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

An MCP server that acts as a bridge to SearXNG instances, allowing AI models to perform web searches with privacy-focused search tools. It supports both STDIO and HTTP transports, featuring built-in rate limiting and session management.

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

Enables MCP-compatible clients to perform web searches through a self-hosted SearXNG instance, with support for configurable languages, categories, time ranges, and safe search settings.

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

A local CrossRef database MCP server enabling full-text search across 167M+ scholarly works, citation analysis, and impact factor retrieval without rate limits or internet dependency.

Connects AI systems to Local Falcon API, enabling access to local SEO reporting tools including scan reports, trend analysis, keyword tracking, and competitor data through the Model Context Protocol.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

A local-first MCP memory server that gives AI coding agents persistent memory with hybrid semantic and keyword retrieval, working fully offline.

Local-first MCP server for controlling a loopback ComfyUI instance from same-machine or authenticated LAN clients.

Exposes locally hosted MLX models as MCP tools for Claude Desktop and Codex, with optional SearXNG search augmentation for private local inference.