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MCP Server Documentation

Universal context infrastructure for AI applications. Connect any MCP-compatible platform to the largest library of machine-native content.

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1,000
Stories/Month
4 Tools
MCP Functions
MCP in Action
// Multi-dimensional precision targeting
synorb.get_stories({
stream_id: 889, // Andreessen Horowitz
entity_details: [
{
entity_type: "Topics",
entity_value: "AI"
},
{
entity_type: "people",
entity_value: "Ben Horowitz"
},
{
entity_type: "content_type",
entity_value: "Podcast"
}
]
})
// Surgical section extraction + provenance
synorb.get_stories({
stream_id: 889,
body_sections: [
"Key Insights",
"Signals"
]
}).then(res => {
res.stories.forEach(story => {
const citation = {
insight: story.story.body,
source: story.evidence_ref.source_urls[0],
confidence: story.classification_confidence,
pipeline: story.provenance?.pipeline_version
};
});
})
// Cross-domain VC + SEC validation
const [vcView, secData] = await Promise.all([
// VC perspective
synorb.get_stories({
stream_id: 889, // a16z
entity_details: [{
entity_type: "organization",
entity_value: "Acme Corp"
}]
}),
// SEC filings
synorb.get_stories({
stream_id: 786, // SEC 8-K
entity_details: [{
entity_type: "organization",
entity_value: "Acme Corp"
}]
})
]);

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Claude
Claude
Pro, Max, Team and Enterprise plans

Connect Synorb to Claude and start querying streams immediately.

1 Find your personalized URL in your welcome email
2 Paste it into Claude Connector
3 Test: "What streams do I have access to?"
Claude Claude Setup Demo
Claude Setup
🔍 Click to enlarge
Click to see demo
OpenAI
ChatGPT
Developer Pro and Plus accounts

Connect via Developer Mode today. Standard ChatGPT support coming soon!

1 Find your personalized URL in your welcome email
2 Paste it into ChatGPT Connector
3 Test: "What streams do I have access to?"
ChatGPT ChatGPT Setup Demo
ChatGPT Setup
🔍 Click to enlarge
MCP Base URL
https://mcp.syn-orb.com/mcp

MCP Tools Reference

Four powerful tools with rich metadata, multi-dimensional filtering, and surgical context extraction

TOOL synorb-profile

Real-time quota tracking with usage analytics, overage monitoring, and subscription status

{ "status": "success", "user_id": 430, "access_token": "2f91a75b...", "usage": { "content_type": "Discovery", "quota": 1000, "quota_period": "month", "usage": 370, "subscription_start": "2025-09-17", "quota_reset_date": "2025-10-17", "overage": 0 } }
TOOL synorb-stream-catalog

Complete stream library with full metadata—domains, entity types, update cadence, and provenance

{ "id": 889, "title": "Andreessen Horowitz", "stream_class": "discovery", "update_cadence": "Weekly", "home_domain": "economics-business-work", "cross_domains": ["engineering-technology"], "primary_entity": { "type": "org", "name": "Andreessen Horowitz", "role": "publisher", "identifiers": { "website": "a16z.com", "acronym": "a16z" } } }
TOOL synorb-stream-details

Deep stream intelligence: activity metrics, dynamic body sections, multi-dimensional filters, NLQ examples

5 7 Days
45 30 Days
148 90 Days
// STEP 1: Discover available sections const details = await synorb.get_stream_details({ stream_id: 889 }); // STEP 2: Check what's available console.log(details.body_sections); // ["Overview", "Key Insights", "Notable Quotes", ...] // STEP 3: Request only what exists const stories = await synorb.get_stories({ stream_id: 889, body_sections: details.body_sections.slice(0, 3), published_date_from: "2025-01-01", "published_date_to: "2025-01-31" });
Overview Key Insights Notable Quotes Actionable Takeaways Announcement Key Details Big Picture Key Arguments Signals Entities Mentioned Links Portfolio Mentions Risks & Watchpoints Resources Mentioned Timestamps
Topics
AI Crypto Enterprise Biotech Fintech +5 more
Content Type
Blog Post Podcast Tweet Thread
People (60+ tracked)
Ben Horowitz Marc Andreessen Chris Dixon +57 more
What is Andreessen Horowitz's view on AI regulation?
How does a16z evaluate crypto investments?
What are the latest AI startups funded by Andreessen Horowitz?
TOOL synorb-stream-stories

Structured stories with multi-parameter filtering, granular section selection, evidence refs, and domain classification

// Request only specific reasoning sections { "stream_id": 889, "body_sections": [ "Key Insights", "Actionable Takeaways" ] }
// Boolean AND across multiple filters { "stream_id": 889, "entity_details": [ { "entity_type": "Topics", "entity_value": "AI" }, { "entity_type": "people", "entity_value": "Ben Horowitz" }, { "entity_type": "content_type", "entity_value": "Podcast" } ] }
{ "story_id": 1126730, "filters": [/* What matched */], "classification_confidence": 0.95, "evidence_ref": { "source_urls": ["https://a16z.com/..."] }, "cross_domains": ["engineering-technology"], "story": { "body_sections": [/* Requested sections */], "body": "# Markdown formatted..." } }
// Every response includes relay metadata { "stories": [...], "_relay_metadata": { "status": "success", "stories_returned": 15, "stories_requested": 20, "filters_applied": { "entity_details": [ {"entity_type": "Topics", "entity_value": "AI"} ] }, "sections_detected": ["Key Insights", "Signals"], "date_range": { "from": "2025-01-01", "to": "2025-01-31" } } } // Validation error example { "error": "Validation Error", "details": { "invalid_sections": ["Fake Section"], "available_sections": ["Overview", "Key Insights"], "suggestion": "Use synorb-stream-details first" } }

⚠️ Common Implementation Mistakes

Avoid these pitfalls that trip up most first-time users

1

Parameter Format

❌ Wrong (String Parameters) get_stories("889", "2025-01-01")
✓ Correct (Object Parameters) get_stories({ stream_id: 889, published_date_from: "2025-01-01", published_date_to: "2025-01-31" })
2

Missing Date Range

Both published_date_from AND published_date_to are required. No defaults.

✓ Always Include Both published_date_from: "2025-01-01", published_date_to: "2025-01-31"
3

Unknown Body Sections

Always check available sections with synorb-stream-details BEFORE querying stories.

✓ Validate First // Step 1: Get available sections details = get_stream_details(889) sections = details.body_sections // Step 2: Use valid sections get_stories({ stream_id: 889, body_sections: ["Key Insights"] })
4

Invalid Filter Structure

❌ Wrong (String) entity_details: "AI"
✓ Correct (Array of Objects) entity_details: [{ entity_type: "Topics", entity_value: "AI" }]

Advanced MCP Documentation

Production-ready implementations, advanced patterns, and complete workflows available in your dashboard

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All code examples include your personal MCP token pre-filled and ready to use

Implementation Examples
7 Patterns

Complete, production-ready code examples with your MCP token pre-filled

  • Investment Due Diligence Pipeline
  • Real Estate Market Intelligence
  • Geopolitical Risk Monitor
  • Crowdfunding Deal Flow
  • Cross-Sector Correlation Engine
  • Podcast Intelligence + SEC Validation
  • Robust Error Handling
Advanced Filtering Patterns
6 Patterns

Surgical precision techniques for multi-dimensional queries

  • Section Discovery First (Critical)
  • Multi-Entity Boolean Filtering
  • Surgical Section Extraction
  • Temporal Precision Control
  • Cross-Domain Intelligence Discovery
  • Provenance-Aware Filtering
Intelligence Workflows
5 Workflows

End-to-end pipelines for market research and competitive intelligence

  • Market Research Pipeline
  • Competitive Intelligence Monitor
  • Investment Thesis Validation
  • RAG Context Extraction Pipeline
  • Error Handling & Validation Pipeline
Production Architecture
Best Practices

Performance optimization and integration strategies

  • Common Integration Mistakes
  • Performance Optimization Strategies
  • Integration Patterns
  • Rate Limit Management
  • Activity-Based Selection

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