Vestige MCP
V

Vestige MCP

Vestige MCP is an MCP server implementation that provides access to DeFi analytics and data for the Algorand ecosystem, offering functions such as network information, protocol analysis, and asset data through the Vestige API.
2 points
10.0K

What is Vestige MCP?

Vestige MCP is a bridge that connects applications to the Vestige API, providing easy access to DeFi analytics and blockchain data for the Algorand network. It simplifies complex blockchain data into understandable information.

How to use Vestige MCP?

Simply install the server, configure your settings, and connect your application to start accessing Algorand DeFi data. No deep technical knowledge required.

Use Cases

Ideal for DeFi traders, portfolio trackers, blockchain analysts, and developers building Algorand-based applications.

Key Features

Network Analytics
View real-time network status, statistics, and blockchain synchronization data
Protocol Tracking
Monitor major DeFi protocols (Tinyman, Pact, Algofi) including TVL and activity
Asset Analytics
Comprehensive asset information including prices, volume, liquidity and market cap
Trading Data
Access real-time swap monitoring, historical trades, and price charts
Pool Analytics
Detailed liquidity pool information including composition and historical data
Advantages
Simplifies access to complex blockchain data
Supports multiple major DeFi protocols
Provides comprehensive analytics in one place
Open-source and customizable
Limitations
Currently focused on Algorand ecosystem only
Requires basic setup configuration
Limited to Vestige API's coverage

Getting Started

Install Node.js
Ensure you have Node.js version 23.6.1 or later installed
Set Up Project Folder
Create or locate your MCP servers directory
Install Vestige MCP
Clone the repository and install dependencies
Configure Your Settings
Edit the .env file with your network preferences and API keys
Add to MCP Config
Update your MCP configuration file with the server details

Practical Examples

Checking Network Status
Get current Algorand network health and statistics
Tracking Asset Prices
Monitor price changes for specific ASA tokens
Analyzing Pool Performance
Compare liquidity pools across different protocols

Frequently Asked Questions

Do I need programming skills to use this?
Is there a hosted version available?
How often is the data updated?
Can I contribute to the project?

Helpful Resources

Vestige API Documentation
Official documentation for the Vestige API
Algorand Developer Portal
Resources for Algorand development
GitHub Repository
Source code and issue tracking
MCP Protocol Overview
Learn about the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "vestige-mcp": {
      "command": "node",
      "args": [
        "PATH_ON_YOUR_MACHINE/Claude/mcp-servers/vestige-mcp/packages/server/dist/index.js"
     ],
      "env": {
        "ALGORAND_NETWORK": "mainnet",
        "ALGORAND_ALGOD_API": "https://mainnet-api.algonode.cloud/v2",
        "ALGORAND_ALGOD": "https://mainnet-api.algonode.cloud",
        "ALGORAND_ALGOD_PORT": "",
        "ALGORAND_TOKEN": "",
        "ALGORAND_AGENT_WALLET": "problem aim online jaguar upper oil flight stumble mystery aerobic toy avoid file tomato moment exclude witness guard lab opera crunch noodle dune abandon broccoli",
        "VESTIGE_API_URL": "https://api.vestigelabs.org",
        "VESTIGE_API_KEY": "",
        "ITEMS_PER_PAGE": "10"

      }
    }
  }
}

{
  "mcpServers": {
    "vestige-mcp": {
      "command": "node",
      "args": [
        " /Users/YOUR_USERNAME/Library/Application\ Support/Claude/mcp-servers/vestige-mcp/packages/server/dist/index.js"
     ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.1K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.9K
4 points
P
Paperbanana
Python
8.5K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
6.7K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
37.3K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
74.8K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
36.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
67.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
51.2K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase