"General search" matching MCP servers:

Provides web and image search using the Doubao (Volcengine) API with configurable parameters.

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.

Official MCP server for the Perplexity API Platform, enabling AI assistants to perform real-time web search, reasoning, and deep research using Sonar models.

Official MCP server for Perplexity API Platform, enabling AI assistants with real-time web search, reasoning, and research capabilities through Sonar models and the Search API.

Enables AI assistants to perform real-time web search, reasoning, and research through the Perplexity Agent API and Search API.

MCP server that wraps the xAI Grok API, allowing Claude and other AI agents to delegate thinking, planning, and real-time search tasks to Grok. It provides a single tool with options for different use cases including web search, Twitter/X search, and multi-agent reasoning.

Provides unified access to multiple AI providers through Vercel AI Gateway, enabling question answering, web search, multi-model research, and model listing.

An advanced MCP server that provides an agentic interface to Google's Gemini 3.1 models via Vertex AI, combining real-time Google Search, URL analysis, and Python code execution to solve complex multi-step research and data tasks.

A lightweight Node.js MCP server that integrates Alibaba Cloud's Qwen models, providing vision understanding, real-time web search, and general chat capabilities through three ready-to-use tools.

Seven-layer agent memory over MCP: zenbrain_store routes a general statement into a semantic fact, a narrated event into an episode, a sequence of instructions into a procedure, and zenbrain_recall tags every result with the layer it came from. zenbrain_consolidate runs one sleep-like maintenance pass; storage is a local SQLite file, with no account and no network call.

Search the AI Tool Directory catalog of 2,000+ AI tools — compare tools, find curated alternatives, and check whether a tool is still active, defunct, or acquired (backed by the AI Graveyard dataset).

MCP server for AI agent observability, providing trace and span logging, search, latency/tokens/cost metrics, and anomaly detection using an in-memory buffer.

An MCP server that enables AI assistants to search, discover, and run any model on Replicate.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

Integrates Google Gemini 3.1 with Claude Code to provide web search, large codebase analysis, multimodal image understanding, and creative brainstorming, leveraging Gemini's 1M token context and Google Search grounding.

This MCP server enables AI agents to search, discover, and install skills from the SkillsMP marketplace, with support for keyword and semantic search, skill content retrieval, and installation to various coding agents.

MCP server exposing portfolio AI tools including semantic search, evaluation framework, and prompt management, enabling natural language interaction with these services via Claude Desktop.

Provides grounded web search and research capabilities using Google's Gemini models and Google Search, with features like normal and research modes, batch searches, and health checks.