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Pyth Network MCP Server

by itsOmSarraf
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Python
MIT License
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Pyth Network MCP Server

An MCP server that provides real-time access to Pyth Network's decentralized oracle price feeds via the Hermes API, optimized for seamless integration into AI agents and autonomous systems.

MCP Badge License: MIT Python 3.10+ MCP

Author: @itsomsarraf

Table of Contents

Features

🔧 Tools (5 Available)

  • Search Price Feeds: Search and filter through 1,930+ price feeds by symbol or asset type across 107+ blockchains

  • Get Latest Prices: Fetch real-time price updates for specific price feed IDs with parsed data (no binary clutter)

  • Historical Price Data: Query price updates at specific timestamps for backtesting and analysis

  • Publisher Stake Caps: Access the latest publisher stake caps data from the Pyth network

  • Time-Weighted Average Prices (TWAP): Calculate TWAP with custom time windows (1-600 seconds) for more stable pricing

💬 Prompts (4 Available)

  • Analyze Price Feed: Get detailed analysis of any asset with current price, TWAP, and volatility metrics

  • Compare Prices: Side-by-side comparison of multiple assets with volatility analysis

  • Market Overview: Comprehensive market report for any asset type (crypto, equity, fx, metal, rates)

  • Price Alert Setup: Step-by-step guidance for setting up price monitoring systems

📚 Resources (3 Available)

  • Pyth Network Information: Overview of the network, data providers, and capabilities

  • Popular Price Feeds: Quick reference of commonly used price feed IDs for major assets

  • API Documentation Reference: Quick reference guide for Hermes API endpoints

🌐 Universal Features

  • Universal Price Feed IDs: Unlike chain-specific oracles, Pyth uses universal price feed IDs that work across all supported blockchains

  • Full MCP Compliance: Implements tools, prompts, and resources according to MCP specification

Supported Asset Types and Coverage

Pyth Network aggregates data from 125+ first-party financial institutions, including major exchanges, market makers, and trading firms, providing:

  • 1,930+ Price Feeds across 107+ Blockchains

  • Asset Types:

    • crypto - Cryptocurrencies (BTC/USD, ETH/USD, SOL/USD, etc.)

    • equity - Traditional equities and stocks

    • fx - Foreign exchange pairs

    • metal - Precious metals (Gold, Silver, etc.)

    • rates - Interest rates and rate products

Pyth operates on a pull-based oracle model, delivering high-frequency price updates (refreshed every ~400ms) directly from data providers to smart contracts across multiple chains including Ethereum, Solana, Avalanche, BNB Chain, Aptos, Sui, Near, and many more.

Prerequisites

  • Python: Version 3.10 or higher

  • Package Manager: pip or uv (recommended)

  • Claude Desktop (optional): For integration with Anthropic's Claude interface

  • Cursor/Windsurf (optional): For IDE integration

Installation

Clone the Repository

git clone https://github.com/itsomsarraf/pyth-network-mcp.git cd pyth-network-mcp

Install Dependencies

Using uv (recommended):

uv sync

Using pip:

pip install mcp httpx

The project requires:

  • mcp>=1.0.0 - Official MCP SDK

  • httpx>=0.27.0 - For HTTP requests to Pyth Hermes API

Configure MCP Client

To use this server with an MCP client like Claude Desktop, add the following to your MCP settings configuration file:

For Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{ "mcpServers": { "pyth-network": { "command": "python3", "args": ["pyth_mcp_server.py"], "cwd": "/absolute/path/to/pyth-network-mcp" } } }

For Cursor/Windsurf (.cursorrules or MCP settings):

{ "mcpServers": { "pyth-network": { "command": "python3", "args": ["pyth_mcp_server.py"], "cwd": "/absolute/path/to/pyth-network-mcp" } } }

Using uv:

{ "mcpServers": { "pyth-network": { "command": "uv", "args": ["run", "pyth_mcp_server.py"], "cwd": "/absolute/path/to/pyth-network-mcp" } } }

Running the Server

The server uses stdio transport (standard input/output) for MCP communication:

python3 pyth_mcp_server.py

To test the server with the included client:

python3 pyth_mcp_client.py

Usage

The server exposes 5 tools, 4 prompts, and 3 resources via the MCP protocol, accessible through Claude Desktop (for natural language queries), Cursor/Windsurf, or programmatically.

MCP Capabilities Overview

Capability

Count

Description

Tools

5

Direct API interactions for getting price data

Prompts

4

Pre-configured analysis templates for common tasks

Resources

3

Static reference information and documentation

Below are detailed descriptions of each capability with examples.

Tool: get_price_feeds

Description: Search and filter price feeds from the Pyth network by symbol or asset type. This is useful for discovering available price feeds before querying their prices.

Parameters:

  • query (string, optional): Filter results to price feeds whose symbol contains this string (case insensitive). Example: "bitcoin", "eth", "gold"

  • asset_type (string, optional): Filter by asset type (case insensitive). Options: crypto, equity, fx, metal, rates

Returns: List of price feed metadata with IDs and attributes.

Natural Language Example (Claude Desktop):

User: "What Bitcoin price feeds are available?"

Assistant: "I found several Bitcoin price feeds including:

  • BTC/USD (ID: e62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43)

  • BTC/ETH

  • BTC/EUR

These feeds are available across all 107+ supported blockchains."

Example JSON Response:

{ "price_feeds": [ { "id": "e62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43", "attributes": { "symbol": "Crypto.BTC/USD", "asset_type": "Crypto", "base": "BTC", "quote_currency": "USD", "description": "Bitcoin vs US Dollar" } } ] }

Tool: get_latest_price_updates

Description: Fetch the latest price updates for specific price feed IDs. Returns clean, readable price data without binary clutter.

Parameters:

  • ids (list[string], required): List of price feed IDs to get updates for

  • encoding (string, optional): Encoding type for binary data. Options: hex, base64. Default: hex

  • parsed (boolean, optional): If true, include parsed price data. Default: true

  • ignore_invalid_price_ids (boolean, optional): If true, invalid price IDs are ignored. Default: false

  • include_binary (boolean, optional): If true, include binary data. Default: false (clean output)

Returns: Price updates with parsed, human-readable data.

Natural Language Example (Claude Desktop):

User: "What's the current price of Bitcoin in USD?"

Assistant: "The current BTC/USD price is $113,395.22 (as of 2 seconds ago). The price has a confidence interval of ±$234.77."

Example JSON Response:

{ "parsed": [ { "id": "e62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43", "price": { "price": "11339522000000", "conf": "23477142598", "expo": -8, "publish_time": 1760133288 }, "ema_price": { "price": "11620589900000", "conf": "7599704800", "expo": -8, "publish_time": 1760133288 }, "metadata": { "slot": 247985552, "proof_available_time": 1760133290, "prev_publish_time": 1760133288 } } ] }

Note: The price value must be multiplied by 10^expo to get the actual price. Example: 11339522000000 × 10^-8 = $113,395.22

Tool: get_price_updates_at_time

Description: Get historical price updates at or after a specific timestamp. This is useful for backtesting strategies or analyzing historical price movements.

Parameters:

  • publish_time (integer, required): Unix timestamp in seconds

  • ids (list[string], required): List of price feed IDs to get updates for

  • encoding (string, optional): Encoding type for binary data. Options: hex, base64. Default: hex

  • parsed (boolean, optional): If true, include parsed price data. Default: true

  • ignore_invalid_price_ids (boolean, optional): If true, invalid price IDs are ignored. Default: false

  • include_binary (boolean, optional): If true, include binary data. Default: false

Returns: Price updates at or after the specified timestamp.

Natural Language Example (Claude Desktop):

User: "What was the BTC/USD price at timestamp 1760132736?"

Assistant: "At timestamp 1760132736, the BTC/USD price was $112,103.54 with a confidence interval of ±$869.53."

Example JSON Response:

{ "parsed": [ { "id": "e62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43", "price": { "price": "11210354370540", "conf": "86953286118", "expo": -8, "publish_time": 1760132736 }, "ema_price": { "price": "11629198600000", "conf": "6729670300", "expo": -8, "publish_time": 1760132736 }, "metadata": { "slot": 247984264, "proof_available_time": 1760132737, "prev_publish_time": 1760132735 } } ] }

Tool: get_publisher_stake_caps

Description: Get the most recent publisher stake caps update data. This provides information about publisher staking limits in the Pyth network, which is important for understanding network security and data quality.

Parameters:

  • encoding (string, optional): Encoding type for binary data. Options: hex, base64. Default: hex

  • parsed (boolean, optional): If true, include parsed update data. Default: true

  • include_binary (boolean, optional): If true, include binary data. Default: false

Returns: Latest publisher stake caps update data in parsed, readable format.

Natural Language Example (Claude Desktop):

User: "What are the current publisher stake caps on the Pyth network?"

Assistant: "The latest publisher stake caps data shows staking limits for each publisher in the network. This includes caps for all 125+ data providers, with the highest cap being 87.4 trillion units."

Example JSON Response:

{ "parsed": [ { "publisher_stake_caps": [ { "publisher": "7YQg8Tz9KHKsg7yHiAFRBsDkLoKvZbMXt7VbW44F7QM", "cap": 87415862629839 }, { "publisher": "8Mg3RA4aNRzw68pZKjB3rsBJ7gB3UDcFwKBbiXLnhHX", "cap": 54545454545 } ] } ] }

Tool: get_twap_latest

Description: Get the latest Time-Weighted Average Price (TWAP) with a custom time window. TWAP provides more stable pricing by averaging prices over time, which is useful for reducing the impact of short-term volatility.

Parameters:

  • window_seconds (integer, required): Time window in seconds (1-600). Example: 60 = 1 minute TWAP, 300 = 5 minute TWAP

  • ids (list[string], required): List of price feed IDs to get TWAP for

  • encoding (string, optional): Encoding type for binary data. Options: hex, base64. Default: hex

  • parsed (boolean, optional): If true, include calculated TWAP in parsed field. Default: true

  • ignore_invalid_price_ids (boolean, optional): If true, invalid price IDs are ignored. Default: false

  • include_binary (boolean, optional): If true, include binary data. Default: false

Returns: Time-weighted average prices for the specified window.

Natural Language Example (Claude Desktop):

User: "What's the 5-minute TWAP for BTC/USD?"

Assistant: "The 5-minute TWAP for BTC/USD is $113,318.45, which is slightly lower than the current spot price of $113,395.22. This indicates recent upward price movement."

Example JSON Response:

{ "parsed": [ { "id": "e62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43", "start_timestamp": 1760132736, "end_timestamp": 1760133036, "twap": { "price": "11331845299185", "conf": "48677830724", "expo": -8, "publish_time": 1760133036 }, "down_slots_ratio": "0" } ] }

Prompts

Prompts are pre-configured templates that guide AI assistants through complex multi-step tasks.

Prompt: analyze_price_feed

Description: Get a detailed analysis of any asset including current price, TWAP, confidence intervals, and volatility metrics.

Arguments:

  • asset_symbol (required): Symbol of the asset to analyze (e.g., BTC, ETH, SOL)

Example Usage in Claude Desktop:

User: "Use the analyze_price_feed prompt for ETH"

Claude: Executes multi-step analysis including:

  1. Searches for ETH price feeds

  2. Gets latest price

  3. Calculates 5-minute TWAP

  4. Provides comprehensive analysis with trends

Prompt: compare_prices

Description: Compare multiple assets side by side with price, TWAP, and volatility analysis.

Arguments:

  • symbols (required): Comma-separated list of asset symbols (e.g., BTC,ETH,SOL)

Example Usage:

"Use the compare_prices prompt with symbols BTC,ETH,SOL"

Creates a comparison table showing relative performance and volatility.

Prompt: market_overview

Description: Generate a comprehensive market report for a specific asset type.

Arguments:

  • asset_type (required): crypto, equity, fx, metal, or rates

Example Usage:

"Use the market_overview prompt for crypto assets"

Provides overview of all crypto feeds with prices and trends.

Prompt: price_alert_setup

Description: Get step-by-step instructions for setting up automated price monitoring.

Arguments:

  • asset_symbol (required): Symbol of the asset to monitor

Example Usage:

"Use the price_alert_setup prompt for SOL"

Provides feed ID, current price, polling recommendations, and code examples.

Resources

Resources provide static reference information about Pyth Network.

Resource: pyth://network/info

Content: General information about Pyth Network

  • Network overview

  • 125+ data providers

  • Coverage statistics (1,930+ feeds, 107+ chains)

  • Key features and capabilities

Access in Claude Desktop: "Show me the Pyth Network information resource"

Resource: pyth://feeds/popular

Content: JSON reference of popular price feed IDs

  • Top crypto pairs (BTC/USD, ETH/USD, SOL/USD, etc.)

  • Major equities (AAPL, TSLA, MSFT)

  • FX pairs (EUR/USD, GBP/USD)

  • Precious metals (Gold, Silver)

Access: "Show me popular Pyth price feeds"

Resource: pyth://docs/api

Content: Quick reference for Hermes API

  • All endpoint documentation

  • Query parameter formats

  • Price format explanation

  • Example requests

Access: "Show me the Pyth API documentation resource"

Testing the Server

The repository includes a demonstration client (pyth_mcp_client.py) that shows how to use all five tools with the official MCP protocol. Run it with:

python3 pyth_mcp_client.py

Finding Price Feed IDs

To find the correct price feed ID for your desired asset:

  1. Use the get_price_feeds tool to search by symbol:

    "Search for Ethereum price feeds"

  2. Or visit the Pyth Network Price Feeds page to browse all available feeds

  3. Common price feed IDs:

    • BTC/USD: e62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43

    • ETH/USD: ff61491a931112ddf1bd8147cd1b641375f79f5825126d665480874634fd0ace

    • SOL/USD: ef0d8b6fda2ceba41da15d4095d1da392a0d2f8ed0c6c7bc0f4cfac8c280b56d

Project Structure

pyth-network-mcp/ ├── pyth_tools.py # Pyth Network API client ├── pyth_mcp_server.py # Official MCP server ├── pyth_mcp_client.py # Example client ├── pyproject.toml # Dependencies ├── README.md # This file ├── STRUCTURE.md # Structure guide ├── .gitignore └── fastmcp-implementation/ # Alternative FastMCP implementation

Architecture

This official MCP server uses:

  • Official MCP SDK: Standards-compliant MCP protocol implementation

  • stdio transport: For efficient communication with MCP clients

  • Pyth Hermes API: Pyth's REST API for accessing price feed data (https://hermes.pyth.network)

  • httpx: Async HTTP client for making API requests

The server operates statelessly, fetching fresh data from Pyth's Hermes API on each request. Binary data is disabled by default for clean, human-readable responses.

When to Use This vs FastMCP?

This repository contains two implementations of the Pyth Network MCP server:

Official MCP (This Root Directory) ✅ Recommended

When to use:

  • ✅ Production deployments - Standards-compliant and battle-tested

  • ✅ Claude Desktop integration - Official protocol support

  • ✅ Cursor/Windsurf integration - Best compatibility with AI IDEs

  • ✅ Better performance - Efficient stdio transport

  • ✅ Future-proof - Follows MCP specification exactly

  • ✅ Stable & reliable - Official SDK with proper error handling

Transport: stdio (standard input/output)
Protocol: Official MCP SDK
Best for: Production, AI agents, real applications

FastMCP Implementation (Subdirectory)

When to use:

  • 🧪 Learning & experimentation - Simpler to understand

  • 🧪 HTTP/SSE preferred - If you need HTTP-based transport

  • 🧪 Quick prototyping - Fast to set up and test

  • 🧪 Educational purposes - Great for learning MCP concepts

Transport: HTTP with Server-Sent Events (SSE)
Protocol: FastMCP framework
Best for: Learning, experimentation, HTTP-based workflows

Quick Comparison

Feature

Official MCP (Root)

FastMCP (Subfolder)

Production Ready

✅ Yes

🔶 Basic

Performance

✅ Excellent

🔶 Good

Claude Desktop

✅ Full support

✅ Supported

Transport

stdio

HTTP/SSE

Ease of Learning

🔶 Moderate

✅ Easy

Protocol Compliance

✅ Official spec

🔶 Framework-based

Recommended for

Production use

Learning/testing

📝 Note: Both implementations provide the same five tools and access to the same Pyth Network data. The difference is in the underlying transport and protocol implementation.

See fastmcp-implementation/README.md for FastMCP documentation.

License

This project is licensed under the MIT License.

About

Pyth Network is a decentralized oracle protocol that delivers real-time market data to smart contracts across 107+ blockchains. By aggregating data from over 125 first-party publishers—including major exchanges, market makers, and trading firms—Pyth provides reliable and low-latency price feeds for various asset classes.

This MCP server makes Pyth's extensive price feed network easily accessible to AI agents, autonomous systems, and other applications through the Model Context Protocol, enabling intelligent agents to make informed decisions based on real-time market data.

External Resources

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues related to:

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Provides real-time access to Pyth Network's decentralized oracle price feeds across 1,930+ assets and 107+ blockchains, enabling AI agents to fetch current prices, historical data, and TWAP calculations for crypto, equity, FX, metal, and rates markets.

  1. Table of Contents
    1. Features
      1. 🔧 Tools (5 Available)
      2. 💬 Prompts (4 Available)
      3. 📚 Resources (3 Available)
      4. 🌐 Universal Features
    2. Supported Asset Types and Coverage
      1. Prerequisites
        1. Installation
          1. Clone the Repository
          2. Install Dependencies
          3. Configure MCP Client
        2. Running the Server
          1. Usage
            1. MCP Capabilities Overview
            2. Tool: get_price_feeds
            3. Tool: get_latest_price_updates
            4. Tool: get_price_updates_at_time
            5. Tool: get_publisher_stake_caps
            6. Tool: get_twap_latest
          2. Prompts
            1. Prompt: analyze_price_feed
            2. Prompt: compare_prices
            3. Prompt: market_overview
            4. Prompt: price_alert_setup
          3. Resources
            1. Resource: pyth://network/info
            2. Resource: pyth://feeds/popular
            3. Resource: pyth://docs/api
          4. Testing the Server
            1. Finding Price Feed IDs
              1. Project Structure
                1. Architecture
                  1. When to Use This vs FastMCP?
                    1. Official MCP (This Root Directory) ✅ Recommended
                    2. FastMCP Implementation (Subdirectory)
                    3. Quick Comparison
                  2. License
                    1. About
                      1. External Resources
                        1. Contributing
                          1. Support

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