MCP web research server (give Claude real-time info from the web)
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Updated
Dec 18, 2024 - JavaScript
MCP web research server (give Claude real-time info from the web)
Claude Code skill for free Google AI Mode search with citations. Zero-config setup, persistent browser profile, query optimization. Token-efficient web research.
MCP server for free Google AI Mode search with citations. Query optimization, CAPTCHA handling, multi-agent support. Works with Claude Code, Cursor, Cline, Windsurf.
Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
Configurable web access extension for pi that routes search, contents, answers, and research across Claude, Codex, Exa, Gemini, Parallel, and Valyu providers.
Local browser toolkit for AI agents: deep research and browser use automation with local Chrome (CDP) + Playwright. Flexible, extensible scripts for web navigation, extraction and workflow automatization - built for reproducible research and agent-driven browsing.
A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
Copilot Context Optimizer is a VS Code extension that gives GitHub Copilot specialized tools to analyze files and process terminal commands efficiently without overwhelming chat context. It extracts only specific information needed instead of dumping entire files or verbose outputs, keeping conversations focused on problem-solving.
MCP server for SearXNG with 13 production-ready tools for web search, package info, GitHub integration, error translation, API docs, and more
Multi-agent research assistant using OpenAI Agents SDK and Olostep to produce sourced Markdown research reports.
Faraday: An Autonomous Web Research Agent (LangGraph/Streamlit). 🕵️♀️ Investigates queries using dynamic tools (Tavily, Google, NewsAPI, etc.), gathers multi-source info, and synthesizes structured reports in a Streamlit UI. Features agentic workflow & source tracking.
A-MEM Agentic Memory System - MCP Server for IDE Integration (Cursor, VSCode) | Dual-Storage: ChromaDB + NetworkX DiGraph with explicit typed edges | Based on Zettelkasten
Autonomous coding agent with web research (Recon), adversarial plan debate, 5-tier cognitive memory, multi-model routing (Gemini + DeepSeek + Ollama), 24/7 loops, and $0 local mode. Apache 2.0.
Fast, local semantic search over web content for AI agents. Hybrid BM25 + potion-retrieval-32M embeddings, cross-page dedup, token-budget mode, MCP server, SearXNG bridge. ~90% fewer tokens than raw web_fetch.
A FastAPI gateway for local LLMs that adds intelligent web research, multilingual recency/how-to detection, time-anchored guidance, context injection, and OpenAI-compatible SSE streaming. Turn any local model into a recency-aware, context-enhanced assistant instantly.
Adds Gemini ACP tools for prompt, search, research, extraction, summarization, code review, translation, image analysis in Pi
An autonomous AI research assistant that runs from the system tray. It uses LangChain to plan, browse, and synthesize web data into comprehensive Markdown reports using local (LM Studio) or cloud LLMs.
A sourced web research agent on Cloudflare Workflows. Ask a question, follow evidence gaps, get a report with links.
Claude Code research ladder: 6 composable skills (L0→L5) from 10s fact-check to 1h knowledge vault, plus /osint-research for entity recon. Stack: Firecrawl (search+scrape+summary) + Tavily (search + research with structured schema verdicts) + Exa (neural) + optional Codex CLI cross-model. MIT.
Local-first office-workflow agent: clarify → plan (DAG) → execute, with parallel subagent dispatch and approval-gated actions.
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