🔐 API Integration Explained

Revolutionary agent-native web integration with MCP protocol

3
Autonomy Levels
100%
Self-Verifying
∞
Agent Delegation
Real-time
Discovery

Revolutionary Integration Guide

The Agent-API Revolution— Beyond Traditional Integration

Traditional API integration assumes human oversight at every step. LLMFeed's revolutionary MCP protocol integration enables progressive agent autonomy — from assisted discovery to fully autonomous credential management and service orchestration.

Progressive Autonomy

From manual config to full agent independence

Cryptographic Trust

Self-verifying credential management

Agent Delegation

Secure agent-to-agent workflows

Building on MCP Excellence

LLMFeed extends Anthropic's outstanding Model Context Protocol from local tool calling to web-scale service discovery. We enhance MCP's robust JSON-RPC foundation with cryptographic trust, progressive autonomy, and multi-LLM compatibility — creating the complete agent-service integration stack.

Progressive Autonomy Revolution

The future of agent-API integration isn't binary — it's a progressive journey from human-guided discovery to fully autonomous service orchestration.

Level 1: Agent-Assisted Discovery (2025)

Scenario: User needs document analysis

Agent: "I found DocumentAI via LLMFeed discovery. Great capabilities and trust scores. Would you like me to help set up access?"

User: "Yes, show me what's involved"

Agent: "I'll guide you through secure credential setup..."

Human Role: Approval and credential management

Level 2: Semi-Autonomous Access (2026)

Scenario: Trusted service with budget constraints

Agent: "I can use DocumentAI (certified, $0.03/page). Your budget allows 500 pages. Proceed?"

User: "Yes, go ahead"

Agent: *Autonomously manages credentials and processes documents*

Human Role: Budget approval and oversight

Level 3: Full Autonomy (2027+)

Scenario: Complex multi-service workflow

Agent: *Autonomously discovers services, negotiates access, orchestrates 5-step workflow, provides results*

User: Receives completed analysis with full audit trail

Human Role: Goal setting and result review

Cryptographic Credential Revolution

Traditional API keys are fragile, unverifiable strings. LLMFeed introduces signed credential capsules with cryptographic integrity, autonomous verification, and secure transfer capabilities.

Traditional API Keys

📋 Fragile API Key Usage🛡️ Template
Legacy approach - vulnerable to attacks
# Fragile and unverifiable
export API_KEY="sk_live_abc123..."
curl -H "Authorization: Bearer $API_KEY" \
  https://api.example.com/data
  • ❌ No ownership verification
  • ❌ No integrity checking
  • ❌ No context or scope
  • ❌ Unsafe transfer
  • ❌ No audit trail

LLMFeed Credential Capsules

📋 Secure Credential Capsule🛡️ Template
Replace {{placeholders}} with your values
{
  "feed_type": "credential",
  "credential": {
    "key_hint": "{{sk_live_...def456}}",
    "mcp_api": "https://{{api.example.com}}/.well-known/mcp-api.llmfeed.json?key=...",
    "allowed_intents": ["read_analytics"],
    "expires_at": "{{2025-12-10T14:30:00Z}}"
  },
  "trust": {
    "signed_blocks": ["credential", "trust"],
    "algorithm": "ed25519"
  },

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  • ✅ Cryptographic verification
  • ✅ Tamper detection
  • ✅ Full context included
  • ✅ Secure capsule transfer
  • ✅ Complete audit trail

Autonomous Credential Management

📋 Autonomous Credential Manager🛡️ Template
Production credential validation logic
// Agents can autonomously verify and manage credentials
class AutonomousCredentialManager {
  async validateAndStore(credentialFeed) {
    // 1. Verify cryptographic signature
    const signatureValid = await this.verifySignature(
      credentialFeed.signature.value,
      credentialFeed.trust.public_key_hint
    );
    
    if (!signatureValid) {
      throw new Error("Credential signature invalid - potential tampering");
    }
    
    // 2. Check expiry autonomously
    const now = new Date();

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Agent-to-Agent Delegation Revolution

The future is multi-agent workflows. LLMFeed enables secure agent-to-agent credential delegation with scoped permissions, audit trails, and automatic revocation.

Delegation Flow Example

1

Marketing agent receives credential feed

2

Agent evaluates delegation rules for analytics task

3

Agent requests temporary token via delegation_endpoint

4

Analytics specialist receives scoped credential

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All actions logged with complete delegation context

🔒 Secure Delegation Structure

📋 Agent Delegation Configuration🛡️ Template
Configure delegation rules for your agents
{
  "credential": {
    "delegation_enabled": true,
    "delegation_rules": [
      {
        "target_agent": "{{analytics.specialist.ai}}",
        "allowed_intents": ["read_reports"],
        "max_duration": "1h",
        "audit_trail": true
      }
    ],
    "delegation_endpoint": "https://{{api.example.com}}/delegate"
  }
}

📊 Audit & Security

  • • Scoped Permissions: Delegate only necessary intents
  • • Time Limits: Automatic expiration prevents abuse
  • • Audit Trail: Every action logged with delegation context
  • • Revocation: Primary agent can revoke at any time
  • • Chain Tracking: Full delegation chain visibility

OpenAPI Integration Bridge

LLMFeed doesn't replace existing standards — it enhances them. Our OpenAPI bridge combines intent understanding with technical specification for the complete agent integration experience.

Best of Both Worlds Integration

📋 OpenAPI + MCP Bridge🛡️ Template
Hybrid integration pattern
{
  "capabilities": [
    {
      "type": "endpoint",
      "intent": "analyze document",
      "description": "AI-powered document analysis", 
      "method": "POST",
      "path": "/api/analyze",
      "user_benefit": "Accurate OCR with 50+ language support"
    },
    {
      "type": "openapi",
      "url": "/.well-known/openapi.json",
      "description": "Complete technical specification"
    }
  ]
}
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→ Agents understand intent via LLMFeed, validate parameters via OpenAPI, integrate via MCP patterns.

🔧 Standards Compatibility

  • • OpenAPI 3.1: Technical specification
  • • OAuth 2.0: Authorization framework
  • • JWT: Secure credential transfer
  • • Well-Known URIs: Discovery patterns

🌉 Bridge Benefits

  • • Existing APIs work immediately
  • • No breaking changes required
  • • Progressive enhancement path
  • • Agent and human compatible

⚡ Enhanced Features

  • • Intent-based discovery
  • • Cryptographic trust
  • • Progressive autonomy
  • • Agent delegation support

Credential Bundle Management

Modern workflows require multiple services. Credential bundles provide unified authentication, cross-service analytics, and coordinated billing for complex agent workflows.

Marketing Suite Bundle Example

📋 Multi-Service Credential Bundle🛡️ Template
Enterprise template - adapt to your services
{
  "feed_type": "credential_bundle",
  "metadata": {
    "title": "{{Marketing Suite Access}}",
    "origin": "https://{{platform.example.com}}"
  },
  "credentials": [
    {
      "service": "email_api",
      "key_hint": "{{email_...x3f9}}",
      "mcp_api": "https://{{email.example.com}}/.well-known/mcp-api.llmfeed.json"
    },
    {
      "service": "analytics_api", 
      "key_hint": "{{anl_...k7m2}}",

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💰 Enterprise Features

  • • Usage-based billing: $0.001/request
  • • Included quota: 50,000 requests
  • • Overage handling: Automatic rate adjustment
  • • Cross-service optimization: Bulk discounts

🏢 SSO Integration

  • • Enterprise SSO: Okta, Azure AD
  • • Service accounts: Automated workflows
  • • Session management: 8h duration
  • • Compliance: SOC2, GDPR certified

Implementation & Tools Integration

Ready to implement revolutionary agent-API integration? Here are the tools, examples, and integration patterns to get started immediately.

🔧 Development Tools

Complete MCP API specification

JSON schema for credential feeds

👀 Live Examples

Preview API Feeds

See credential flows in action

Sign Credentials

Cryptographic credential signing

🚀 Quick Integration Pattern

📋 Agent Service Integration Logic🛡️ Template
Production integration pattern
// Agent discovers and validates API access
async function integrateWithService(serviceUrl, intent) {
  // 1. Discover MCP feed
  const mcpFeed = await fetch(`${serviceUrl}/.well-known/mcp.llmfeed.json`);
  
  // 2. Check if intent is supported
  const capabilities = mcpFeed.capabilities.filter(c => c.intent === intent);
  if (!capabilities.length) {
    throw new Error(`Service doesn't support intent: ${intent}`);
  }
  
  // 3. Get user credential

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📚 Core Specs

🛠️ Tools

🌐 Standards

Join the Agent-API Revolution

The agentic web needs progressive autonomy and cryptographic trust. Help build the API integration infrastructure that will power autonomous agents for the next decade.

Join MCP InnovationStart Signing Credentials