Content Intelligence API — 9 tools for extraction, analysis, research, comparison, sentiment, competitor intel, content monitoring, briefs, structured data
RemoteAbout Content Intelligence API — 9 tools for extraction, analysis, research, comparison, sentiment, competitor intel, content monitoring, briefs, structured data
A content intelligence MCP server for AI agents, covering extraction, analysis, research, and monitoring. Calls can be paid with USDC on Base through x402 or handled through subscription plans.
Key features
- 01Extract readable content from URLs
- 02Analyze summaries, sentiment, entities, and topics
- 03Synthesize research across sources
- 04Compare articles and assess bias
- 05Monitor page changes and create briefs
Use cases
- 01Extract webpage text for further processing
- 02Analyze sentiment and topics in text
- 03Compare coverage of a topic across sources
- 04Track page changes and prepare multi-source briefs
MCP support
Exposes nine content intelligence tools to MCP clients for extraction, analysis, research, comparison, monitoring, and briefing. It supports x402 per-call payments or subscription plans.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://content-intelligence-mcp.wajih-hyder55.workers.devclaude mcp add --transport http ruvendors5-ops-content-intelligence-api https://content-intelligence-mcp.wajih-hyder55.workers.dev{"mcpServers":{"ruvendors5-ops-content-intelligence-api":{"type":"http","url":"https://content-intelligence-mcp.wajih-hyder55.workers.dev"}}}Open in Cursor{"servers":{"ruvendors5-ops-content-intelligence-api":{"type":"http","url":"https://content-intelligence-mcp.wajih-hyder55.workers.dev"}}}Open in VS Code{"mcpServers":{"ruvendors5-ops-content-intelligence-api":{"type":"http","url":"https://content-intelligence-mcp.wajih-hyder55.workers.dev"}}}{"mcpServers":{"ruvendors5-ops-content-intelligence-api":{"serverUrl":"https://content-intelligence-mcp.wajih-hyder55.workers.dev"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
9| Parameter | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | The URL to extract content from |
Details
From the project READMEContent Intelligence MCP Server v2.1.0
A pay-per-call MCP server for content intelligence — extract, analyze, research, compare, monitor, and brief. Powered by freellmpool (30+ free LLMs) with x402 payment (USDC on Base) or subscription plans.
Architecture
┌──────────────┐ ┌──────────────────┐ ┌──────────────────────┐
│ AI Agent │────▶│ Gateway Worker │────▶│ Express API v2.1 │
│ (Claude, │ │ (x402 + Subs) │ │ (AWS EC2) │
│ Cursor, │ │ │ │ │
│ etc.) │◀────│ MCP Worker │◀────│ freellmpool (LLMs) │
└──────────────┘ └──────────────────┘ └──────────────────────┘
│
┌──────▼──────┐
│ x402 or │
│ Subscribe │
└─────────────┘
Tools (9 Total)
| # | Tool | Description | Per-Call Price |
|---|---|---|---|
| 1 | extract_content | Extract clean readable content from a URL | 0.005 USDC |
| 2 | analyze_text | Multi-faceted analysis: summary, sentiment, entities, topics, classification | 0.003 USDC |
| 3 | research_topic | Multi-source research synthesis with web search, perspectives, timeline | 0.02 USDC |
| 4 | compare_articles | Side-by-side comparison: similarities, differences, coverage, bias | 0.01 USDC |
| 5 | extract_structured | Extract structured JSON from a URL (custom schema supported) | 0.008 USDC |
| 6 | sentiment_over_time | Sentiment trend analysis across multiple sources (URLs or text) | 0.008 USDC |
| 7 | competitor_intel | Competitive intelligence between two companies (web search + analysis) | 0.025 USDC |
| 8 | monitor_page | Page content extraction with SHA-256 hash for change detection | 0.005 USDC |
| 9 | daily_brief | Multi-source briefing in executive, bullet, or detailed format | 0.015 USDC |
Subscription Plans
Instead of paying per call, subscribe for predictable pricing:
| Plan | Price | Calls | Effective Rate |
|---|---|---|---|
| Monthly | $5 USDC | 200 | $0.025/call |
| Yearly | $50 USDC | 3,000 | $0.017/call |
Use subscription via X-Subscription-Token header in requests.
Payment
- Network: Base (eip155:8453)
- Asset: USDC (
0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) - Wallet:
0x7003209BDDb2253B5Ba902211279a28fB7b39aD7 - Scheme: x402 (per-call) or Subscription (pre-paid)
Quick Start for Agents
{
"mcpServers": {
"content-intelligence-api": {
"url": "https://content-intelligence-mcp.wajih-hyder55.workers.dev"
}
}
}
Endpoints
| Endpoint | Description |
|---|---|
POST /v1/extract | Extract content from URL |
POST /v1/analyze | Analyze text |
POST /v1/research | Research topic |
POST /v1/compare | Compare two sources |
POST /v1/extract-structured | Structured extraction |
POST /v1/sentiment-over-time | Sentiment trends |
POST /v1/competitor-intel | Competitive analysis |
POST /v1/monitor | Page monitoring |
POST /v1/brief | Generate briefing |
POST /v1/subscribe | Create subscription ($5/$50) |
GET /v1/auth/pricing | Get pricing info |
POST /v1/auth/validate | Validate subscription token |
GET /health | API health + version info |
Deployment
- Backend: AWS EC2 (Ubuntu) with PM2, Node.js 22, freellmpool
- Workers: Cloudflare Workers (gateway + MCP)
- Payment: x402.org facilitator for on-chain verification
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.