search-boost-mcp
A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.
README
search-boost-mcp
Multi-engine web search MCP server for coding agents. One CLI install wires it into Cursor, Cursor CLI, Codex, Claude Code, Grok Build, and Antigravity.
search-boost family
Project For Link search-boost-mcp (this repo) Cursor · Codex · Claude · Grok · Antigravity via MCP you are here dsh-search-boost DeepSeek Harness bundle plugin GitHub · npm pi-search-boost pi extension GitHub · npm
Search engines come from dsh-search-boost (bundled as an npm dependency): on the free layer, Bing, Exa-free, Google News, and Yahoo run in parallel; the api layer adds DuckDuckGo, Antigravity CLI (when available), and keyed Tavily / Brave / Exa. Also included: X/Twitter fallback, Jina page fetch, and deep-research rounds.
中文文档 → README_zh.md
What's new in v0.1.2
- Free-layer engine pool rebuilt after live benchmarks: Bing + Exa-free + Google News + Yahoo for general search; DuckDuckGo kept for domain-restricted routes (e.g.
x_searchfallback withsite:queries). x_searchfallback auto-prependssite:x.comfor multi-engine domain search so keyword mode works without XAI credentials.- Depends on
dsh-search-boost@0.1.2.
Install (recommended)
Requires Node ≥ 22.13.
npm install -g search-boost-mcp
search-boost setup # interactive: keys → layer → agents
# or non-interactive:
search-boost install -y # all detected agents
Restart each agent after install so MCP reloads.
One-liners by agent
search-boost install -t cursor -y
search-boost install -t codex,claude -y --auto-allow
search-boost install -t grok -y --auto-allow
search-boost install -t antigravity --workspace --auto-allow -y
Preview without writing: search-boost install --dry-run -y
What you get
| MCP tool | Purpose |
|---|---|
fused_search |
Multi-engine parallel search, dedupe, cross-ranking |
fetch_page |
Full page text (Jina + HTML fallback, optional focus) |
x_search |
X/Twitter keyword / user / thread |
deep_research |
One research round — gaps + suggested follow-ups |
search_layer |
Show or set free (keyless) vs api (keyed engines) |
search_stats |
Cache hits, engine availability, diagnostics |
Also: resource search-boost://policy · prompt search_routing
Layers
- free — Bing + Exa-free + Google News + Yahoo; no API keys. DuckDuckGo is used only for domain-restricted searches (e.g.
x_searchfallback). - api — free-layer engines plus DuckDuckGo, Antigravity CLI (when available), and Tavily / Brave / Exa when keys are set
Keys: search-boost config keys → ~/.dsh-search-boost-keys.json (or env TAVILY_API_KEY, BRAVE_API_KEY, EXA_API_KEY).
CLI cheat sheet
| Command | What it does |
|---|---|
search-boost |
Interactive TUI |
search-boost setup |
Onboarding (keys + layer + install) |
search-boost install / uninstall |
Wire MCP + prompts into agents |
search-boost serve |
Run MCP stdio server (used by agents) |
search-boost status |
Keys, layer, per-agent configured state |
search-boost config keys|layer|search |
Keys, default layer, native-search replace |
search-boost print <agent> |
Print MCP snippet without writing |
search-boost agents |
Machine-readable agent list |
Install flags: -t cursor,codex,…|auto|all · -y (non-interactive) · --dry-run · --auto-allow · --replace-native / --keep-native · --scope user|project (Grok) · --workspace (Antigravity .agents/)
Supported agents
| Agent | MCP config | Also installs |
|---|---|---|
| Cursor IDE / CLI | ~/.cursor/mcp.json |
hook, skill, optional CLI auto-allow |
| Codex CLI | ~/.codex/config.toml |
AGENTS.md, skill |
| Claude Code | ~/.claude.json |
CLAUDE.md, skill, permissions |
| Grok Build | ~/.grok/config.toml |
rule, skill · grok-plugin |
| Antigravity | ~/.gemini/config/mcp_config.json |
AGENTS.md, GEMINI.md, skill, optional workspace |
Prompts use model-discretion wording (search when you choose — not forced every turn). See agents/ for per-agent templates.
Native web search: Codex web_search and Claude WebSearch can be disabled with --replace-native (default on -y). Cursor / Antigravity rely on skill + hook preference only. Grok native browse is left on.
Grok plugin
grok plugin install ./grok-plugin --trust
search-boost install -t grok -y --auto-allow
Details → grok-plugin/README.md
Development
git clone https://github.com/Mr-remon219/search-boost-mcp.git
cd search-boost-mcp && npm install
npm run check && npm run test:install && npm run smoke
node cli.mjs install --dry-run -y
Local clone installs write node /path/to/cli.mjs serve (not npx). Sibling checkout: set SEARCH_BOOST_DSH_ROOT=../dsh-search-boost if needed.
License
MIT
Links: Issues · dsh-search-boost · pi-search-boost
Friendly link: LINUX DO 社区
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.