by karust
Self-hosted web search for AI agents and SEO. Google, Bing, Yandex, Baidu, DuckDuckGo & Ecosia, rendered in a real browser: ranked results and clean page Markdown. API, CLI, MCP 🎉
# Add to your Claude Code skills
git clone https://github.com/karust/openserpLast scanned: 10/26/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-10-26T09:44:41.623Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how openserp compares with popular alternatives.
openserp is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by karust. Self-hosted web search for AI agents and SEO. Google, Bing, Yandex, Baidu, DuckDuckGo & Ecosia, rendered in a real browser: ranked results and clean page Markdown. API, CLI, MCP 🎉. It has 1,499 GitHub stars.
Yes. openserp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/karust/openserp" and add it to your Claude Code skills directory (see the Installation section above).
openserp is primarily written in Go. It is open-source under karust on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh openserp against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
OpenSERP is a free, open-source SERP API and CLI for Google, Yandex, Baidu, Bing, DuckDuckGo, and Ecosia.
No API keys, no per-search billing: one command gives you live, structured search results on localhost - including engines the paid APIs don't cover. Use it as a search tool for LLMs and agents, or as a backend for SEO rank tracking. If you'd rather not run infrastructure, there is a hosted version with the same API.

Prebuilt images are published to docker hub: karust/openserp.
# Run the API server via prebuilt image
docker run --rm -p 127.0.0.1:7000:7000 karust/openserp:latest serve -a 0.0.0.0 -p 7000
# Or
docker compose up
go install github.com/karust/openserp@latest
openserp search duckduckgo "open source serp api" --format markdown
git clone https://github.com/karust/openserp.git
cd openserp
go build -o openserp .
./openserp serve
# mode=any returns the first engine that responds
curl "http://127.0.0.1:7000/mega/search?engines=bing,google&text=golang+vs+rust&extract=1&mode=any"
{
"query": {
"text": "golang vs rust",
"engines_requested": ["bing", "google"]
},
"meta": {
"request_id": "019ecdc0-a66d-79a4-9d2b-9e9b480d495e",
"requested_at": "2026-06-16T00:06:55Z",
"took_ms": 720,
"engines_responded": ["bing"],
"engines_failed": [],
"version": "2.1"
},
"results": [
{
"id": "s_5a8273f16b19ab64",
"rank": 1,
"type": "organic",
"title": "The Go Programming Language",
"url": "https://go.dev/",
"display_url": "go.dev",
"snippet": "Get Started Playground Tour Stack Overflow Help Packages Standard Library …",
"domain": "go.dev",
"favicon": "https://go.dev/favicon.ico",
"position": {
"absolute": 1
},
"engine": "bing",
"domain_info": {
"tld": "dev",
"sld": "go",
"category": ""
},
"extracted": {
"title": "Build simple, secure, scalable systems with Go",
"format": "markdown",
"content": "## Build simple, secure, scalable systems with Go\n\n\n\n- “At the time, no single team member knew Go, but **within a month, everyone was writing in Go** and we were building out the endpoints. ........",
"mode_used": "fast",
"fetched_at": "2026-06-16T00:06:56Z"
}
},
{
"id": "s_1a364ebcb3035539",
"rank": 2,
"type": "organic",
"title": "Go (programming language) - Wikipedia",
"url": "https://en.wikipedia.org/wiki/Go_(programming_language)",
"display_url": "en.wikipedia.org › wiki › Go_(programming_language)",
"snippet": "In Go's package system, each package has a path (e.g., \"compress/bzip2\" or \"golang.org/x/net/html\") and a name (e.g., bzip2 or html). …",
"domain": "en.wikipedia.org",
"favicon": "https://en.wikipedia.org/favicon.ico",
"position": {
"absolute": 2
},
"engine": "bing",
"domain_info": {
"tld": "org",
"sld": "wikipedia",
"category": ""
},
"classification": {
"content_type": "article",
"source_hint": "encyclopedia"
}
},
...
],
"serp_features": [],
"pagination": {
"page": 1,
"has_more": false,
"next_start": 10
},
"clusters": [
{
"id": "c_f20b23a020101dce",
"canonical_url": "https://go.dev/",
"domain": "go.dev",
"title": "The Go Programming Language",
"occurrences": [
{
"engine": "bing",
"rank": 1,
"result_id": "s_5a8273f16b19ab64"
}
],
"engines_count": 1,
"best_rank": 1,
"score": 0.5
},
...
]
}
Official client packages. Each works against your self-hosted server (set baseUrl) or the hosted API (set apiKey):
| Type | Package | Source | Install |
|---|---|---|---|
| JavaScript / TypeScript SDK | @openserp/sdk |
openserpapi/sdk-js | npm install @openserp/sdk |
| Python SDK | openserp |
openserpapi/sdk-python | pip install openserp |
| MCP server (AI agents) | @openserp/mcp |
openserpapi/mcp | npx @openserp/mcp |
| n8n community node | @openserp/n8n-nodes-openserp |
openserpapi/n8n | Install via n8n community nodes |
See examples for small JavaScript and Python use cases covering search, AI grounding, SEO, content extraction, and image search.
import { OpenSERP } from "@openserp/sdk";
// Use your self-hosted server
const client = new OpenSERP({ baseUrl: "http://localhost:7000" });
const { results } = await client.search({ engine: "google", text: "openserp", limit: 5 });
Available engine names: google, yandex, baidu, bing, duckduckgo, ecosia.
Dedicated engine endpoints:
curl "http://127.0.0.1:7000/google/search?text=golang&limit=10"
Image search:
curl "http://127.0.0.1:7000/bing/image?text=golang+logo&limit=10"
Megasearch:
curl "http://127.0.0.1:7000/mega/search?text=golang&limit=10"
/mega/search returns the same envelope as engine endpoints plus clusters: results are deduplicated by normalized URL, and clusters keep the per-engine occurrences and ranks.
| Mode | Best for | Behavior |
|---|---|---|
balanced |
Most multi-engine SERP workflows | Queries engines in parallel and merges results |
fast |
Lowest latency | Uses the fastest available engine |
any |
Fallback-style availability checking | Tries engines sequentially until one responds |
# Fast mode
curl "http://127.0.0.1:7000/mega/search?text=golang&mode=fast&engines=google,bing,yandex"
# Any mode
curl "http://127.0.0.1:7000/mega/search?text=golang&mode=any&engines=google,yandex,bing"
# Balanced mode with aggregation controls
curl "http://127.0.0.1:7000/mega/search?text=golang&mode=balanced&dedupe=true&merge=true"
# Advanced filtering
curl "http://127.0.0.1:7000/mega/search?text=golang&engines=google,bing&limit=20&date=20250101..20251231&lang=EN®ion=US"
# Image megasearch
curl "http://127.0.0.1:7000/mega/image?text=golang+logo&limit=20"
List engines:
curl "http://127.0.0.1:7000/mega/engines"
URL extraction:
# Extract one URL as JSON
curl "http://127.0.0.1:7000/extract?url=https://example.com&mode=auto"
# Return clean page markdown
curl "http://127.0.0.1:7000/extract?url=https://example.com&format=markdown"
# Extract several URLs at once - returns a bare [{page_content, metadata}] array
# (Open WebUI external loader compatible); failed URLs become items with metadata.error
curl -X POST "http://127.0.0.1:7000/extract/batch" \
-H "Content-Type: application/json" \
-d '{"urls":["https://example.com","https://go.dev"],"mode":"fast"}'
# Embed extracted content under the top search results
curl "http://127.0.0.1:7000/google/search?text=llm+observability&extract=2&format=markdown"
No server required - query an engine straight from the terminal. The CLI shares the same engines, formats, and filters as the API.
openserp search ecosia "weather in london" --format markdown
# Search results for "