mcp-server-searchapi
An MCP server for SearchApi that provides Google web, news, scholar, and YouTube search as agent-ready MCP tools.
README
mcp-server-searchapi
An MCP server for SearchApi — Google web, news, scholar, and YouTube search as clean, agent-ready MCP tools.
Features
- 4 search tools — web, news, Google Scholar, and YouTube.
- Normalized output — slimmed, consistent JSON tuned for LLM consumption (no raw SearchApi noise).
- Bearer auth — single
SEARCHAPI_API_KEYenv var; no extra config. - Retry / backoff — automatic retry on 429 and 5xx with exponential backoff.
- stdio transport — plugs directly into any MCP-compatible host.
- Zero-config run —
npx mcp-server-searchapiwith no installation step.
Tools
| Tool | Searches | Key params |
|---|---|---|
web_search |
Google organic results | query (required), gl, hl, location, page |
news_search |
Google News | query (required), time_period (last_day | last_week | last_month | last_year), gl, hl |
scholar_search |
Google Scholar | query (required), page, year_from |
youtube_search |
YouTube | query (required), gl, hl |
Requirements
- Node.js ≥ 18
- A SearchApi API key (free tier available)
Install & run
SEARCHAPI_API_KEY=your_key npx mcp-server-searchapi
No installation required. npx downloads and runs the server on the fly.
Use with Claude Desktop / Claude Code
Add the following block to your MCP configuration file (claude_desktop_config.json for Claude Desktop, or .claude/settings.json for Claude Code):
{
"mcpServers": {
"searchapi": {
"command": "npx",
"args": ["-y", "mcp-server-searchapi"],
"env": { "SEARCHAPI_API_KEY": "your_key_here" }
}
}
}
Once configured, Claude can call web_search, news_search, scholar_search, and youtube_search directly.
Example
Example web_search response (illustrative):
{
"results": [
{
"position": 1,
"title": "Model Context Protocol",
"link": "https://modelcontextprotocol.io",
"source": "modelcontextprotocol.io",
"snippet": "An open protocol that standardizes how applications provide context to large language models."
}
],
"related_searches": ["mcp server", "mcp tools"]
}
Tool reference
web_search
Search Google via SearchApi. Returns organic results plus optional answer box, knowledge graph summary, and related searches.
| Param | Type | Description |
|---|---|---|
query |
string (required) | The search query. |
gl |
string | Country code, e.g. "us", "tw" (default: "us"). |
hl |
string | Interface language, e.g. "en" (default: "en"). |
location |
string | Geographic location for the search. |
page |
integer | Results page number (default: 1). Google returns 10 results per page; use page to paginate — there is no num param. |
Returns: { results: [{position, title, link, source?, snippet?, date?}], answer?, knowledge?, related_searches? }
news_search
Search Google News via SearchApi. Returns recent articles with title, link, source, date, and snippet.
| Param | Type | Description |
|---|---|---|
query |
string (required) | The news search query. |
time_period |
string | Restrict to a time window: last_day, last_week, last_month, or last_year. |
gl |
string | Country code, e.g. "us". |
hl |
string | Interface language, e.g. "en". |
Returns: { results: [{title, link, source?, date?, snippet?, thumbnail?}] }
scholar_search
Search Google Scholar via SearchApi. Returns academic results with title, link, authors, publication info, citation count, and snippet.
| Param | Type | Description |
|---|---|---|
query |
string (required) | The scholarly search query. |
page |
integer | Results page number (default: 1). |
year_from |
integer | Only return results published from this year onward. |
Returns: { results: [{title, link, authors?, publication?, cited_by?, snippet?}] }
youtube_search
Search YouTube via SearchApi. Returns videos with title, link, channel, view count, publish time, and duration.
| Param | Type | Description |
|---|---|---|
query |
string (required) | The YouTube search query. |
gl |
string | Country code, e.g. "us". |
hl |
string | Interface language, e.g. "en". |
Returns: { results: [{title, link, channel?, views?, published?, length?, description?}] }
Extending
The client in src/searchapi-client.ts is engine-agnostic — it accepts any engine name that SearchApi supports. Adding support for another engine (maps, flights, patents, shopping, and 20+ others) is a single new file: create src/tools/<engine>.ts, map the tool's input params to SearchApi query params, add a normalize helper in src/normalize.ts, and register the tool in src/tools/index.ts. No changes to the client or server wiring are required.
Development
# Install dependencies
npm install
# Run unit tests (offline — no API key needed; fixtures are bundled)
npm test
# Build for distribution
npm run build
The unit tests run fully offline using fixture files in test/fixtures/. A separate live integration test (test/live.test.ts) exercises the real SearchApi endpoint — it runs automatically as part of npm test but is skipped unless SEARCHAPI_API_KEY is set:
SEARCHAPI_API_KEY=your_key npm test
License
MIT — see LICENSE.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.