financedeveloper-tools

Morpho

crazyrabbitltc

by crazyrabbitltc

Morpho: Query DeFi market data, vaults, positions and historical APY via Morpho's GraphQL API for portfolio management a

Integrates with Morpho DeFi protocol's GraphQL API to enable querying market data, vaults, positions, and historical APY information for portfolio management and yield optimization.

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Direct GraphQL API integrationReal-time DeFi market data

best for

  • / DeFi developers building yield optimization tools
  • / Portfolio managers tracking lending positions
  • / Yield farmers monitoring rates across markets

capabilities

  • / Query lending market data from Morpho protocol
  • / Fetch vault details and performance metrics
  • / Retrieve user positions and balances
  • / Access historical APY and yield information
  • / Monitor DeFi portfolio allocations

what it does

Connects to Morpho's DeFi protocol to query lending market data, vault information, and yield rates for decentralized finance applications.

about

Morpho is a community-built MCP server published by crazyrabbitltc that provides AI assistants with tools and capabilities via the Model Context Protocol. Morpho: Query DeFi market data, vaults, positions and historical APY via Morpho's GraphQL API for portfolio management a It is categorized under finance, developer tools.

how to install

You can install Morpho in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Morpho is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Morpho API MCP Server

A Model Context Protocol (MCP) server that provides tools for querying the Morpho API. This server enables Claude to interact with Morpho's GraphQL API, providing access to market data, vaults, positions, and more.

Features

  • Query Morpho markets data through GraphQL
  • Full support for vaults, positions, and transactions
  • Historical APY data and oracle information
  • Comprehensive pagination, ordering, and filtering options
  • Data validation using Zod schemas
  • Error handling and type safety
  • MCP-compliant server implementation

Installation

  1. Install the package:
npm install mcp-morpho-server
  1. Add to your Claude Desktop configuration:
{
  "tools": {
    "morpho": {
      "command": "node",
      "args": [
        "/path/to/node_modules/mcp-morpho-server/build/index.js"
      ]
    }
  }
}

Available Tools

Markets

  • get_markets: Retrieve all markets with pagination and filtering
  • get_whitelisted_markets: Get only whitelisted markets
  • get_market_positions: Get positions for specific markets
  • get_historical_apy: Get historical APY data
  • get_oracle_details: Get oracle information

Vaults

  • get_vaults: Get all vaults with their current states
  • get_vault_positions: Get positions for specific vaults
  • get_vault_transactions: Get vault transaction history
  • get_vault_allocation: Get vault market allocations
  • get_vault_reallocates: Get vault reallocation history
  • get_vault_apy_history: Get historical APY data for vaults

Assets and Accounts

  • get_asset_price: Get current price and yield information
  • get_account_overview: Get account positions and transactions
  • get_liquidations: Get liquidation events

Development

The project is written in TypeScript and uses:

  • @modelcontextprotocol/sdk for MCP server implementation
  • axios for API requests
  • zod for schema validation

To build from source:

  1. Clone the repository
git clone https://github.com/crazyrabbitLTC/mcp-morpho-server.git
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Contributing

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

License

ISC

Author

Created by [Your Name] (your@email)

FAQ

What is the Morpho MCP server?
Morpho is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Morpho?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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MCP server reviews

Ratings

4.851 reviews
  • Camila Ramirez· Dec 24, 2024

    Morpho is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Zaid Kim· Dec 16, 2024

    Morpho is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • James Wang· Dec 4, 2024

    I recommend Morpho for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Camila Park· Nov 23, 2024

    We evaluated Morpho against two servers with overlapping tools; this profile had the clearer scope statement.

  • Michael Harris· Nov 15, 2024

    Strong directory entry: Morpho surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Zaid White· Nov 7, 2024

    Useful MCP listing: Morpho is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Zaid Srinivasan· Oct 26, 2024

    Morpho reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Camila Sanchez· Oct 14, 2024

    Morpho is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • James Li· Oct 6, 2024

    I recommend Morpho for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anaya Robinson· Sep 17, 2024

    I recommend Morpho for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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