1cent
Provides AI agents with SSRF-protected URL intelligence and 32 paid REST/MCP tools, plus a free catalog search, with payments in USDC on Base Mainnet.
README
1cent Web Intelligence for AI Agents
Public SSRF-protected URL intelligence API and remote MCP server. Production uses x402 v2, Base Mainnet USDC and PayAI. No account or API key. Telegram is the only administrative UI.
- MCP:
https://1cent.maxzoa.ru/mcp - Free product demo:
https://1cent.maxzoa.ru/v1/demo/pulse - Free live demo:
https://1cent.maxzoa.ru/v1/demo/live-pulse - Live catalog/prices:
https://1cent.maxzoa.ru/v1/catalog - Public trust status:
https://1cent.maxzoa.ru/status.json - Buyer guide:
https://1cent.maxzoa.ru/docs/getting-started
Production exposes 32 paid REST/MCP operations plus three free MCP tools:
catalog_search— find the correct operation and live price without a URL fetch;demo_url_pulse— inspect a fixed precomputed output sample without payment or network access.demo_live_url_pulse— run the real safe service against fixedexample.com, rate-limited.
Buyer setup starts with a no-payment diagnostic:
onecent doctor
The CLI refuses a paid call unless the buyer explicitly supplies a maximum amount, confirms Base
Mainnet and types the one-call confirmation. See examples/buyer-python and examples/buyer-node.
PostgreSQL is the runtime source for tool availability and atomic Base USDC prices. Config values are clean-install fallbacks. Paid URL work begins only after successful payment checks.
Safety contract
- public HTTP/HTTPS only; private, loopback, link-local and rebinding destinations fail closed;
- strict input schemas; unknown fields rejected;
- bounded redirects, response bodies, extracted text, concurrency and queue depth;
- payment identifier, request fingerprint and idempotent replay protection;
- UNKNOWN settlement never retried automatically;
- no seller private key, buyer key, Docker socket or JavaScript execution on the server;
- Streamable HTTP host/origin protection enabled for remote MCP.
Local quality checks
python -m venv .venv
.venv/Scripts/pip install --require-hashes -r requirements-dev.lock
.venv/Scripts/pip install --no-deps -e .
ruff check .
mypy
pytest -q
python scripts/validate_release.py
docker compose --env-file .env.example config
docker compose --env-file .env.example build
pip-audit --no-deps -r requirements.lock --progress-spinner off
Local Docker start
Copy .env.example to .env, replace placeholders, keep X402_ENVIRONMENT=testnet and
X402_NETWORK=eip155:84532, then:
docker compose up -d --build
docker compose ps
Container UID/GID: 10001:10001. No host bind-mounted writable directory is required.
This local example is intentionally testnet. Production mainnet activation requires owner approval,
a fresh PostgreSQL backup, production preflight, development bypass disabled and rollback readiness.
Documentation
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.