送信

Orbis Research Mcp

@OrbisAPI

Access 8,000+ web research and data extraction APIs through a single MCP. Search the web, scrape content, query Reddit, pull Google results, extract structured data, and more. Pay-per-call in USDC via x402 on Base — no API keys, no subscriptions.
概要

Orbis Research & Data Extraction MCP 🔍

Real web search, scraping, and data extraction APIs for AI agents. Pay per call with USDC on Base — no API keys, no accounts, no subscriptions.

MCP x402

What's Actually In Here

These are the most-called APIs in this domain on Orbis:

APICallsWhat it does
Web Search Query241Keyword web search returning structured results
Reddit Subreddit Search API221Search Reddit posts across any subreddit
Web Content Type Classifier API193Classify what type of content a URL contains
Web Data Extractor Intelligence API193Intelligently extract structured data from any page
Reddit Posts & Comments API180Fetch posts and comments from Reddit
Google Search Results API178Structured Google SERP results
Google Maps & Places API173Places, reviews, and location data from Google Maps
Web Scrape Planner API163Generate a scraping strategy for any website
Structured Data Extractor API58Extract structured JSON from unstructured web pages
Web Scraping API57Render and scrape any public web page
Data Extraction Quality Scorer API50Score the quality of extracted data
Web Scraping ROI Calculator API37Estimate the cost/value of a scraping project

Quick Start

No API key needed. No account. Paste into your MCP client:

Claude Desktop / Claude Code

{
  "mcpServers": {
    "orbis-research": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://orbisapi.com/api/mcp/research"]
    }
  }
}

Config path: ~/Library/Application Support/Claude/claude_desktop_config.json

Cursor / Windsurf / Cline

{
  "mcpServers": {
    "orbis-research": {
      "url": "https://orbisapi.com/api/mcp/research"
    }
  }
}

OpenAI Codex CLI

# ~/.codex/config.yaml
mcpServers:
  orbis-research:
    type: url
    url: "https://orbisapi.com/api/mcp/research"

Example Prompts

Once connected, try:

  • "Search the web for the latest news about Coinbase's x402 integration"
  • "Search Reddit's r/MachineLearning for discussions about MCP servers"
  • "Scrape this page and extract all the pricing data as JSON: https://..."
  • "Get the top 10 Google results for 'best MCP servers 2025'"
  • "Find all Google Maps reviews for this business and summarize sentiment"
  • "Plan how I'd scrape this e-commerce site for product data"

Direct x402 Usage (Node.js)

import { wrapFetchWithPayment } from "x402-fetch";
import { privateKeyToAccount } from "viem/accounts";
import { createWalletClient, http } from "viem";
import { base } from "viem/chains";

const account = privateKeyToAccount(process.env.WALLET_PRIVATE_KEY);
const walletClient = createWalletClient({ account, chain: base, transport: http() });
const fetch = wrapFetchWithPayment(globalThis.fetch, walletClient);

// Google Search — 178 real calls on Orbis
const resp = await fetch(
  "https://orbisapi.com/api/proxy/google-search-results-api-9c77d5/search",
  { method: "POST", headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ query: "MCP servers for AI agents", limit: 10 }) }
);
console.log(await resp.json());

See example.mjs for a full working script.

All Orbis Domain MCPs

DomainURL
₿ Crypto & Blockchainhttps://orbisapi.com/api/mcp/crypto
🔍 Research & Datahttps://orbisapi.com/api/mcp/research
🛒 Commerce & Retailhttps://orbisapi.com/api/mcp/commerce
✈️ Travelhttps://orbisapi.com/api/mcp/travel
🌐 All 20,000+ APIshttps://orbisapi.com/api/mcp

Built by Orbis — the API marketplace for AI agents.

Connect

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "orbis-research": { "url": "https://orbisapi.com/api/mcp/research" }
  }
}

OpenAI Agents SDK

Python:

from agents.mcp import MCPServerStreamableHttp
from agents import Agent, Runner

mcp = MCPServerStreamableHttp(url="https://orbisapi.com/api/mcp/research")

agent = Agent(
    name="Orbis Research Agent",
    model="gpt-4o",
    mcp_servers=[mcp]
)

result = await Runner.run(agent, "Browse available research APIs")
print(result.final_output)

TypeScript:

import { Agent, run } from "@openai/agents";
import { MCPServerStreamableHttp } from "@openai/agents/mcp";

const mcp = new MCPServerStreamableHttp({
  url: "https://orbisapi.com/api/mcp/research",
});

const agent = new Agent({
  name: "Orbis Research Agent",
  model: "gpt-4o",
  mcpServers: [mcp],
});

const result = await run(agent, "Browse available research APIs");
console.log(result.finalOutput);

Calls are billed per-use in USDC via x402 on Base mainnet. No subscription, no API key required.

サーバー設定

{
  "mcpServers": {
    "orbis-research": {
      "url": "https://orbisapi.com/api/mcp/research"
    }
  }
}