searchio
searchio is a tool for search, page reading, and product lookup. Use it from the command line, from Python, or over HTTP. Use it as a person or as an AI agent. Search and reading need no API key.
Quick start for AI agents
An AI agent can set up searchio for its user in one pass. Follow these steps in order. Stop when the verify step passes.
1. Use Docker when Docker runs. Try:
docker run -i --rm ghcr.io/ioserviceslabs/searchio-mcp
The image holds the full system: fetch ladder, Rust engine sidecar, and a Chromium for the challenge tier. No other install step. Go to step 3.
2. No Docker: install from source. Needs Python 3.10 or newer.
pip install "searchio[mcp]"
curl -fsSL https://raw.githubusercontent.com/IOServicesLabs/searchio-engine/main/scripts/install.sh | sh
The pip command installs the searchio package with the MCP server from
PyPI. The curl command adds the Rust engine sidecar at
~/.searchio/bin/se-serve (linux, macOS, Windows with Git Bash). The
sidecar is the fast tier-2 backend. It is optional but recommended.
For the latest development build use
pip install "searchio[mcp] @ git+https://github.com/IOServicesLabs/searchio".
3. Add the MCP server to the client. Claude Desktop and Cursor use this config shape.
Docker:
{
"mcpServers": {
"searchio": {
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/ioserviceslabs/searchio-mcp"]
}
}
}
Source install:
{
"mcpServers": {
"searchio": { "command": "searchio-mcp" }
}
}
4. Verify. Restart the client. Ask: "Use searchio to search the web for the current time in Tokyo." Real results mean the setup works. An error about a missing command means the config points at a path that does not exist; fix the config and retry.
Note. npx @ioserviceslabs/searchio-mcp also works as the client
command in step 3. The launcher starts the Docker image when Docker
runs. Without Docker it starts the local install from step 2.
1. Install
You need Python 3.10 or newer.
Path A -- pip (one command):
pip install "searchio[mcp]"
searchio-mcp # MCP server on stdio, ready for an LLM client
searchio doctor checks the install. The Rust engine sidecar is
optional. Install it with the curl command in the quick start, step 2.
Path B -- Docker (no Python needed):
docker run -i --rm ghcr.io/ioserviceslabs/searchio-mcp # stdio MCP
docker run -p 8080:8080 ghcr.io/ioserviceslabs/searchio-mcp \
searchio-mcp --transport sse --host 0.0.0.0 --port 8080
No prebuilt image for your platform? Build from source:
docker build -t searchio https://github.com/IOServicesLabs/searchio.git
The image holds the full ladder: the Python tiers, the Rust engine sidecar,
and a Chromium for the challenge tier. State (clearance, sessions) persists
in a volume at /root/.searchio:
docker run -i --rm -v searchio-state:/root/.searchio ghcr.io/ioserviceslabs/searchio-mcp
Path C -- from source:
git clone https://github.com/IOServicesLabs/searchio.git
cd searchio
python -m venv .venv
.venv\Scripts\activate # Windows
# source .venv/bin/activate # macOS / Linux
pip install -e '.[mcp]'
searchio doctor
searchio doctor shows which fetch tiers work on your machine. Tier 0 is
plain HTTP. Tier 1 adds TLS impersonation. Tier 2 adds a real browser for
pages that block bots. Tier 2 starts on its own the first time it is needed.
The engine tier (optional, recommended)
Tier 2 uses the Rust searchio-engine sidecar when a se-serve
binary is present. It boots in milliseconds and has no Chromium. The Docker
image includes it. On a host install, one command adds it:
curl -fsSL https://raw.githubusercontent.com/IOServicesLabs/searchio-engine/main/scripts/install.sh | sh
The installer drops the binary at ~/.searchio/bin/se-serve and searchio
finds it on its own. You can also set SEARCHIO_ENGINE_BIN to any binary.
MCP client setup
Point any MCP client at the server:
{
"mcpServers": {
"searchio": {
"command": "searchio-mcp"
}
}
}
With Docker, use "command": "docker", "args": ["run", "-i", "--rm", "searchio"].
No Python at all? The npm wrapper picks a backend for you (Docker when present, else a local install):
{
"mcpServers": {
"searchio": {
"command": "npx",
"args": ["-y", "@ioserviceslabs/searchio-mcp"]
}
}
}
2. Search
searchio search "best noise cancelling headphones 2026"
searchio search "rust async runtime comparison" --intent code
searchio search "artemis mission" --domains nasa.gov
searchio search "heat pump retrofit" --k 20 --json
You can set an intent: web (default), news, video, shopping,
academic, code, forum, reference, local. You can also put
site:nasa.gov in the query.
3. Read a page
searchio read https://example.com/some/article
searchio read https://example.com/paper.pdf --chars 20000
The command prints the readable text. It climbs walls, bot checks, and JavaScript-only pages on its own. If a page cannot be read, you get a clear reason. You do not get an empty page.
4. Products and listings
searchio items "sony wh-1000xm5" # one row per product across retailers
searchio items "dyson v15" --domains bestbuy.com --json
searchio marketplace "ford f-150" --city seattle # Facebook Marketplace, browser-backed
5. Research with an AI swarm
This part costs money. Set one key:
set ANTHROPIC_API_KEY=... # Windows
# export ANTHROPIC_API_KEY=... # macOS / Linux
searchio research "What changed in the EU battery regulation this year, and who is affected?"
To use DeepSeek instead, set SEARCHIO_LLM_PROVIDER=deepseek and
DEEPSEEK_API_KEY=.... The answer comes back with findings. Each finding
cites pages the workers read.
6. Run it as an MCP server
searchio is also an MCP (Model Context Protocol) server. AI agents call it over MCP. The same tools that the CLI uses are available to the agent.
Install the MCP extra:
pip install -e '.[mcp]'
Start the server over stdio:
searchio mcp
# or
python -m searchio.mcp
Start the server over HTTP:
searchio mcp --transport streamable-http --host 127.0.0.1 --port 8080 --path /mcp
6.1 MCP tools
The server has these tools:
| Tool | What it does |
|---|---|
search |
Fused, ranked web search across keyless providers. |
search_items |
Product listings with prices, merged across retailers. |
search_local |
Facebook Marketplace classifieds near a city (browser-backed). |
youtube_transcript |
Caption transcript of one YouTube video: timed segments + full text. |
read_url |
Read one URL through the blocking-resistant ladder. Returns markdown. |
research |
Run the multi-step research swarm on a question (needs an LLM key). |
stats |
Ladder and provider health (per-domain learned tiers, block rates). |
The server also has one resource: searchio://health returns service health
as a small JSON object.
6.2 Payment for search and research (x402)
The MCP server has a payment gate. It uses the x402 shape. When the gate is
on, a billable tool returns a 402 (Payment Required) with an X-Payment
challenge until the caller pays.
Set the gate with SEARCHIO_MCP_PAYMENT:
| Value | Result |
|---|---|
| `` (empty, default) | Gate open. Nothing is charged. For local and dev use. |
static:<token> |
The caller must send Authorization: Bearer <token>. Without it the tool returns a 402 + X-Payment challenge. |
This is the shape a real verifier uses. It has no ledger. When you host the server for others, put a real x402 verifier in front. The verifier checks payment, then the tool runs. This is how searchio is hosted next to SwarmIO for search and research credits.
7. Run it as an HTTP server
searchio serve --port 8080
| Endpoint | What it does |
|---|---|
GET /search?q=...&intent=web&k=10&domains=a.com,b.org&freshness=week&locale=de-DE |
Search results |
GET /read?url=...&session=me |
Readable text of one page |
GET /items?q=...&domains=... |
Product listings merged per product |
GET /marketplace?q=...&city=seattle |
Facebook Marketplace listings |
GET /transcript?url=...&lang=en |
YouTube caption transcript (400 not-a-video · 404 no captions · 451 refused) |
POST /research {"question": "..."} |
The AI research swarm |
GET /providers, GET /stats, GET /healthz |
Status |
Errors are honest status codes: 422 for a bad request, 400 for a target the
policy refuses, 451 for a page blocked by an anti-bot wall, 502 or 503 when
providers failed or are all cooling down after failures. A search answer
lists providers_used, providers_failed and providers_skipped (breakers
open, with the cooldown left).
If several people or agents share one server, give each its own session on
/read. Then cookies from one never ride along on another's requests.
8. Run it in Docker
The Dockerfile in this repo builds the full ladder: Python tiers, the Rust
engine sidecar, and a Chromium for the challenge tier. See Path B in section
1 for the build and run commands. docker compose up does the same with the
state volume wired up.
Inside the container, tier 2 is the engine sidecar first; the patchright
Chromium takes the pages that need a real browser (the challenge tier).
Cache, learned per-domain tiers, and clearance cookies live in the
searchio-state volume, so they survive restarts. Keys for the research
swarm go in as environment variables, the same names as in section 10.
9. Use it from Python
import asyncio
from searchio.engine import Engine
async def main():
eng = Engine()
res = await eng.search("lithium iron phosphate battery lifespan", intent="web", k=5)
for doc in res.docs:
print(doc.title, doc.url)
doc = await eng.read("https://example.com/article")
print(doc.text[:500])
items = await eng.find_items("sony wh-1000xm5")
for it in items:
print(it.title, it.price, it.url)
await eng.close()
asyncio.run(main())
10. Settings
Everything is an environment variable with the SEARCHIO_ prefix, or a line
in a .env file next to where you run it. The ones people change most:
| Variable | Default | Meaning |
|---|---|---|
SEARCHIO_MAX_TIER |
2 |
0 HTTP only, 1 adds TLS impersonation, 2 adds the browser |
SEARCHIO_ROBOTS_POLICY |
warn |
enforce, warn, or off |
SEARCHIO_PROXY |
none | Proxy URL for the HTTP tiers |
SEARCHIO_FACEBOOK_CITY |
none | Default city for Marketplace searches |
SEARCHIO_CACHE_ENABLED |
true |
Cache fetched pages for an hour |
SEARCHIO_STATE_DIR |
~/.searchio |
Where cache, profiles and clearance cookies live |
SEARCHIO_MCP_PAYMENT |
`` | MCP payment gate (see 6.2) |
SEARCHIO_MCP_BEARER |
none | Bearer token the MCP gate checks |
11. Good to know
- Search and reading need no keys and cost nothing. Only
researchcalls a paid model. - The tool never sends your credentials anywhere. Marketplace and other browser-backed lookups run anonymously.
searchio providerslists every source and whether it is configured.searchio doctoris the first thing to run when something looks off.
Metadata
Release files for searchio 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| searchio-0.1.1.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| searchio-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / searchio-0.1.1.tar.gz
| Download URL | searchio-0.1.1.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
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Release files / searchio-0.1.1-py3-none-any.whl
| Download URL | searchio-0.1.1-py3-none-any.whl |
|---|---|
| Size | 234.8 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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