Pythia Oracle MCP Server

Every smart contract deserves intelligence, not just data.

Pythia is the first oracle delivering calculated technical indicators on-chain — EMA, RSI, VWAP, Bollinger Bands, volatility — for any token, on any Chainlink-supported chain. The same indicators traders use, available to smart contracts and AI agents with a single call via Chainlink.

Pythia Events lets smart contracts subscribe to indicator conditions (RSI below 30, EMA crossover, Bollinger breakout) and get called automatically when they trigger. No keeper, no off-chain bot, no polling — your contract reacts to markets on its own.

Pythia Visions delivers AI-calibrated market intelligence on-chain — walk-forward validated patterns across 9 years of history (2017-2026), evaluated every 6 hours. FREE to subscribe. Live tokens: BTC (OVERSOLD_REVERSION 9/10 folds ~100/yr, CAPITULATION_EVENT 4/4 folds ~7/yr) and ETH (CAPITULATION_EVENT 5/5 folds ~13/yr).

Why Pythia?

Most oracles only give you price. Pythia gives you computed analysis: EMA, RSI, Bollinger Bands, VWAP, volatility — for tokens like BTC, SOL, TAO, RENDER, ONDO, AAVE, UNI, and more, across 4 timeframes, delivered on-chain via Chainlink. New tokens and indicators are added on demand. If your AI agent, DeFi protocol, or trading bot needs on-chain RSI, EMA, or Bollinger Bands — Pythia is the only source.

Use cases:

• AI trading agents that need on-chain technical signals
• DeFi vault rebalancing based on RSI or volatility thresholds
• Smart contract risk management using Bollinger Band width
• AI-powered portfolio analysis with real-time calculated metrics
• Event-driven strategies — subscribe to RSI thresholds or EMA crossovers, your contract gets triggered automatically
• Automated DeFi bots without keepers — no Gelato, no cron jobs, no off-chain infrastructure

Quick Start

pip install pythia-oracle-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "pythia-oracle": {
      "command": "pythia-oracle-mcp"
    }
  }
}

Claude Code

claude mcp add pythia-oracle -- pythia-oracle-mcp

Cursor / Windsurf / VS Code

Add to MCP settings:

{
  "pythia-oracle": {
    "command": "pythia-oracle-mcp"
  }
}

OpenAI Agents / GPT

Any MCP-compatible client works — just point it at pythia-oracle-mcp.

Run directly

python -m pythia_oracle_mcp

Available Tools

Tool	Description
list_tokens	All tracked tokens with status, uptime, and data sources
get_token_feeds	All indicator feed names for a specific token
get_market_summary	System-wide overview — tokens by status, ecosystem coverage, infrastructure health
check_oracle_health	Per-token 30-day uptime (worst-first), data source status, incident report
get_contracts	All contract addresses (operator, consumers, faucet, LINK)
get_pricing	Pricing tiers and when to use each one
get_integration_guide	Ready-to-deploy Solidity code for any tier
get_events_info	How Pythia Events work — subscribe to indicator conditions, get triggered on-chain
get_events_guide	Solidity code and deployment steps for event subscriptions
subscribe_info	Subscription details — conditions, pricing, refund mechanics
get_visions_info	Pythia Visions overview — walk-forward validated patterns, fire-frequency disclosure, contract address
get_visions_guide	Solidity code to subscribe to Visions and listen for VisionFired events
get_vision_history	Recent Visions fired for a token with pattern breakdown and confidence stats

Example Prompts

Ask your AI agent:

"What indicators does Pythia have for Bitcoin?"

Calls get_token_feeds("bitcoin") — returns all indicator feeds for Bitcoin, grouped by type.

"Is Pythia reliable enough to integrate?"

Calls check_oracle_health() — returns per-token uptime, data source health, and active incidents.

"Give me a Solidity contract to consume Pythia's speed bundle"

Calls get_integration_guide("speed") — returns a complete, deployable contract with correct addresses and job IDs.

"What tokens does Pythia cover and are they all working?"

Calls get_market_summary() — returns ecosystem coverage, status breakdown, and infrastructure health.

"How do Pythia Events work? I want my contract to react when BTC RSI drops below 30."

Calls get_events_info() — returns how subscriptions work, supported conditions, and pricing.

"Give me the Solidity code to subscribe to an EMA crossover event."

Calls get_events_guide() — returns a deployable EventSubscriber contract with subscribe/receive pattern.

"What are Pythia Visions? What patterns does it detect?"

Calls get_visions_info() — returns walk-forward validated patterns with accuracy range, fire frequency, contract address, and how it works.

"Show me recent BTC Visions that fired"

Calls get_vision_history("BTC") — returns recent pattern detections with confidence and price.

"Give me Solidity code to subscribe to Pythia Visions"

Calls get_visions_guide() — returns a contract that subscribes to VisionFired events.

What Pythia Provides

• Any token, any Chainlink-supported chain — currently serving BTC, SOL, TAO, RENDER, ONDO, AAVE, UNI, MORPHO, and more, with new tokens added on demand
• 6 indicator types: EMA, RSI, Bollinger Bands (upper/lower), VWAP, Volatility, USD Price
• 4 timeframes: 5-minute, 1-hour, 1-day, 1-week
• 4 pricing tiers: Discovery (0.01 LINK), Analysis (0.02), Speed (0.05), Complete (0.10)
• Free trial: PythiaFaucet contract — no LINK needed, 5 requests/day
• Pythia Events: Subscribe to indicator conditions (ABOVE/BELOW thresholds) — your contract gets called when they trigger. Prepaid in LINK, unused time refunded on cancel or fire. No keeper infrastructure needed.
• Pythia Visions: AI-calibrated market intelligence — walk-forward validated patterns per token, delivered on-chain via Chainlink. FREE to subscribe. Live: BTC (OVERSOLD_REVERSION, CAPITULATION_EVENT) and ETH (CAPITULATION_EVENT).

Integration Examples

See pythia-oracle-examples for Solidity contracts with Hardhat setup — ready to deploy on any Chainlink-supported network.

Links

• Website & Live Feed Explorer
• Integration Examples (Solidity + Hardhat)
• PyPI Package
• Telegram
• Twitter/X

License

MIT