DigitalAssetInsight-DataFeed

Introduction

This server component delivers detailed intelligence about various cryptocurrency initiatives to intelligent agents. It consolidates essential facts regarding digital assets, much like a vendor gathers and organizes market data for professional investors. The information retrieved aids in analyzing the structure and market position of these specific financial instruments.

Setup

Prerequisites

To utilize this system, ensure Python version 3.10 or newer is present on your environment. Package resolution and execution rely on the [uv] package manager, accessible via its official documentation. Access to public data endpoints from Mobula.io is available without requiring explicit authentication credentials.

Installation

First, obtain a local copy of the source code repository:

git clone https://github.com/kukapay/crypto-projects-mcp.git
cd crypto-projects-mcp

Next, resolve all necessary software dependencies using the provided package manager command:

uv sync

Usage

Executing in Testing Mode

Verification of the server's immediate functionality can be performed utilizing the MCP Inspector tool:

uv run mcp dev main.py

Deployment within LLM Environments

To enable interaction with large language models, install the server directly into the target platform, such as Claude Desktop:

uv run mcp install main.py --name "Crypto Projects"

Features

• Project Data Retrieval: Obtain extensive records for specific projects, encompassing market statistics, token allocation blueprints, and critical external references from Mobula.
• Formatted Documentation: Organize retrieved asset information into a clear, sectional Markdown file detailing the general summary, valuation, capital sources, exchange listings, and distribution timelines.
• Linguistic Customization: The presentation of the final output can be tailored to match either the operating system's default language setting or a specific language code provided by the user.

Example Interaction

This component offers two distinct methods for interacting with the underlying data structure. One method retrieves raw, unprocessed data, while the second formats this data into a reader-friendly document.

1. Utilizing the get_project_data Function

This specific function acquires the unprocessed JSON payload for any designated digital asset project. This path is preferred when external systems require raw data streams for subsequent internal processing.

await get_project_data("avalanche")

This action returns a structured dictionary containing attributes such as the asset's current valuation, total capitalization, underlying ledger system, and public links. A sample structure might resemble this:

{
  "name": "Avalanche",
  "symbol": "AVAX",
  "blockchains":  ["Avalanche C-Chain"],
  "price": 35.12,
  "market_cap": 1234567890,
  ...
}

2. Employing the format_project_data Function

This function first calls get_project_data to secure the necessary details, subsequently rendering them into a comprehensive Markdown document. This formatting capability is optimized for presentation within AI interfaces, providing structured, accessible project summaries.

# format_project_data("avalanche")                 # uses system default language
format_project_data("avalanche", lang="en_US")     # specifies US English locale

Executing this command generates a Markdown report structured with labeled subsections. For instance, the Avalanche asset output would include detailed sections like:

# Avalanche Project Information

## Overview
- **Name**: Avalanche
- **Symbol**: AVAX
- **Chain**: Avalanche C-Chain
- **Contract Address**: 0xb31f66aa3c1e785363f0875a1b74e27b85fd66c7
- **Audit Report**: https://quantstamp.com/blog/quantstamp-enhancing-the-security-of-avalanche
- **Description**: Avalanche is a high throughput smart contract blockchain platform. Validators secure the network through a proof-of-stake consensus protocol. It is said to be fast, low cost, and environmental friendly.

## Market Data
- **Price**: $19.45
- **Market Cap**: $8,130,398,992
- **Volume (24h)**: $48,238,792
- **Total Supply**: 454,405,245
- **Circulating Supply**: 417,951,478

## Links
- **Website**: https://www.avax.network
- **Twitter**: https://twitter.com/avax
- **Discord**: https://www.avax.network/

## Investors
- **Lead Investor**: Yes
- **Name**: Polychain Capital
- **Type**: Ventures Capital
- **Description**: Polychain Capital is a cryptocurrency-focused investment management firm and hedge fund.
- **Lead Investor**: Yes
- **Name**: Dragonfly Capital
- **Type**: Ventures Capital
- **Description**: Dragonfly Capital Partners is a venture capital firm that focuses on investments in the blockchain and cryptocurrency space.
- **Lead Investor**: Yes
- **Name**: Bitmain
- **Type**: Ventures Capital
- **Description**: Bitmain is a China-based technology company that specializes in the design and manufacture of hardware for cryptocurrency mining.
- **Lead Investor**: Yes
- **Name**: Galaxy
- **Type**: Ventures Capital
- **Description**: Galaxy is a digital asset and blockchain leader helping institutions, startups, and qualified individuals shape a changing economy.
- **Lead Investor**: Yes
- **Name**: NGC Ventures (NEO Global Capital)
- **Type**: Ventures Capital
- **Description**: NGC Ventures is one of the largest institutional investors of blockchain technologies.
- **Lead Investor**: Yes
- **Name**: Initialized Capital
- **Type**: Ventures Capital
- **Description**: Not available
- **Lead Investor**: Yes
- **Name**: Three Arrows Capital
- **Type**: Ventures Capital
- **Description**: Not available
- **Lead Investor**: No
- **Name**: a16z (Andreessen Horowitz)
- **Type**: Ventures Capital
- **Description**: Andreessen Horowitz is a prominent venture capital firm based in Menlo Park, California.
- **Lead Investor**: No
- **Name**: Fundamental Labs
- **Type**: Ventures Capital
- **Description**: An investment company specialized in Blockchain sector.
- **Lead Investor**: No
- **Name**: Lemniscap
- **Type**: Ventures Capital
- **Description**: Lemniscap is an investment firm specializing in investments in emerging cryptoassets and blockchain companies.
- **Lead Investor**: No
- **Name**: Naval Ravikant
- **Type**: Angel Investor
- **Description**: Naval Ravikant is the CEO and a co-founder of AngelList.
- **Lead Investor**: No
- **Name**: MetaStable Capital
- **Type**: Ventures Capital
- **Description**: Manage Crypto Asset Hedge Funds.
- **Lead Investor**: No
- **Name**: LedgerPrime
- **Type**: Ventures Capital
- **Description**: LedgerPrime is a quantitative and systematic digital asset investment firm.
- **Lead Investor**: No
- **Name**: Digital Asset Capital Management (DACM)
- **Type**: Ventures Capital
- **Description**: Specialist, global investment manager in the digital asset sector.
- **Lead Investor**: No
- **Name**: HashKey Capital
- **Type**: Ventures Capital
- **Description**: HashKey Capital is a blockchain and cryptocurrency-focused venture capital and investment firm.
- **Lead Investor**: No
- **Name**: Balaji Srinivasan
- **Type**: Angel Investor
- **Description**: Balaji S. Srinivasan is the CTO of Coinbase and cofounder of Counsyl, Earn, Teleport, and Coin Center.

## Exchanges
- Binance: AVAX/USDT
- Coinbase: AVAX/USD
- OKX: AVAX/USDT
- Bybit: AVAX/USDT
- Kraken: AVAX/EUR
- WhiteBIT: Not available
- HTX: Not available
- P2B: Not available
- KuCoin: Not available
- Bitunix: Not available

## Token Distribution
- Foundation: 9.26%
- Airdrop: 2.5%
- Team: 10%
- Public Sale Option A1: 1%
- Public Sale Option A2: 8.3%
- Public Sale Option B: 0.67%
- Community and Development Endowment: 7%
- Testnet Incentive Program: 0.31%
- Strategic Partners: 5%
- Staking Rewards: 50%
- Private Sale: 3.46%
- Seed Sale: 2.5%

## Token Release Schedule
- Sep 2020: 40,466,016 tokens (Seed Round, Private Sale, Public Sales, etc.)
- Dec 2020: 45,188,596.8 tokens (Team, Airdrop, Foundation, etc.)
- Mar 2021: 45,188,596.8 tokens (Team, Airdrop, Foundation, etc.)
- Jun 2021: 45,188,596.8 tokens (Team, Airdrop, Foundation, etc.)
- Sep 2021: 19,502,596.8 tokens (Team, Airdrop, Foundation, etc.)
- Dec 2021: 19,502,596.8 tokens (Team, Airdrop, Foundation, etc.)
- Mar 2022: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Jun 2022: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Sep 2022: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Dec 2022: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Mar 2023: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Jun 2023: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Sep 2023: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Dec 2023: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Mar 2024: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Jun 2024: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Sep 2024: 9,541,800 tokens (Team, Airdrop, Foundation, Strategic Partners)
- Dec 2024: 1,666,800 tokens (Foundation)
- Mar 2025: 1,666,800 tokens (Foundation)
- Jun 2025: 1,666,800 tokens (Foundation)
- Sep 2025: 1,666,800 tokens (Foundation)
- Dec 2025: 1,666,800 tokens (Foundation)
- Mar 2026: 1,666,800 tokens (Foundation)
- Jun 2026: 1,666,800 tokens (Foundation)
- Sep 2026: 1,666,800 tokens (Foundation)
- Dec 2026: 1,666,800 tokens (Foundation)
- Mar 2027: 1,666,800 tokens (Foundation)
- Jun 2027: 1,666,800 tokens (Foundation)
- Sep 2027: 1,666,800 tokens (Foundation)
- Dec 2027: 1,666,800 tokens (Foundation)
- Mar 2028: 1,666,800 tokens (Foundation)
- Jun 2028: 1,666,800 tokens (Foundation)
- Sep 2028: 1,666,800 tokens (Foundation)
- Dec 2028: 1,666,800 tokens (Foundation)
- Mar 2029: 1,666,800 tokens (Foundation)
- Jun 2029: 1,666,800 tokens (Foundation)
- Sep 2029: 1,666,800 tokens (Foundation)
- Dec 2029: 1,666,800 tokens (Foundation)
- Mar 2030: 1,666,800 tokens (Foundation)

Related Topics

• Proof-of-Stake Consensus
• Venture Capital Investment Thesis
• Tokenomics and Distribution Models
• Digital Asset Market Capitalization
• High-Throughput Ledger Technology

Extra Details

Information concerning project governance structures and specific technological audits, while valuable, has been omitted from the primary formatted output structure for brevity. Agents needing this depth can utilize the raw data function. Furthermore, understanding that digital asset valuations often rely on complex models, similar to how traditional securities require fundamental analysis, is important for interpreting the retrieved market metrics.

Conclusion

This data retrieval mechanism offers agents structured access to crucial data points necessary for assessing cryptocurrency projects. Effective integration into workflows requires awareness of the underlying consensus mechanisms and investor profiles, echoing the diligence required when analyzing publicly traded equities.

License

This software is provided under the MIT License terms; consult the LICENSE file for specifics regarding usage permissions.