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Filecoin Data Broker MCP Server

by fildb
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Filecoin Data Broker MCP Server

A Model Context Protocol (MCP) server implementation that provides blockchain-based dataset trading functionality using Filecoin, IPFS, Ethereum smart contracts, and Lit Protocol for decentralized encryption.

Overview

This project implements an MCP server that enables AI agents and applications to discover, purchase, and query datasets stored on Filecoin/IPFS with Ethereum NFT-based access controls. The server provides a secure, decentralized marketplace for data trading with Lit Protocol encrypted private datasets and public dataset previews.

Features

Core Functionality

  • Blockchain-Based Dataset Trading: Purchase dataset access through Ethereum NFT contracts

  • Lit Protocol Integration: Decentralized encryption and access control for private datasets

  • SynapseStorage Integration: Enhanced data fetching and management capabilities

  • Automatic Purchase Flow: Seamless NFT purchase during dataset queries

  • Public Data Previews: Query public columns without purchase

  • SQL Query Interface: Standard SQL queries on purchased datasets

  • IPFS/Filecoin Storage: Decentralized data storage and retrieval

MCP Tools

  • list_datasets: Lists available datasets with metadata, pricing, and column information

  • query_dataset: Executes SQL queries on datasets with automatic purchase handling

Dataset Types

  • Public Columns: Available for querying without purchase, stored on IPFS

  • Private Columns: Encrypted with Lit Protocol, require NFT ownership to decrypt and access

  • Hybrid Access: Full dataset access includes both public and private data after purchase

Architecture

Core Components

  • Entry Point: bin/index.js - MCP server startup with stdio transport

  • Server: server.js - MCP server instance and tool registration

  • Dataset Factory: lib/dataset/factory.js - Abstract dataset creation and management

  • Blockchain Integration: lib/contracts/FDBRegistry.js - Ethereum contract interactions

  • Encryption Layer: lib/lit.js - Lit Protocol integration for decentralized encryption

  • Storage Layer: lib/synapse.js - SynapseStorage for enhanced data operations

Dataset Implementations

  • FilecoinDataset: lib/dataset/filecoin/FilecoinDataset.js - Production blockchain-based datasets with Lit Protocol decryption

  • LocalDataset: lib/dataset/mock/LocalDataset.js - Development/testing mock datasets

Security & Data Processing

  • SQL Security: lib/sql.js - Query sanitization and access control

  • Ethereum Integration: lib/signer.js - Blockchain authentication and wallet management

  • Decentralized Encryption: Lit Protocol for secure data access control

Setup

Prerequisites

  • Node.js ≥20.0.0 (required for private field syntax)

  • Ethereum private key for blockchain access

  • Access to Ethereum network (mainnet or testnet)

Installation

Manual Execution

ETHEREUM_PRIVATE_KEY=... npx -y fdb-mcp --help

Claude Desktop

{ "mcpServers": { "filoDataBroker": { "command": "npx", "args": ["-y", "fdb-mcp"], "env": { "ETHEREUM_PRIVATE_KEY": "..." } } } }

Development Mode

  1. Edit .env file by filling required values

  2. Start MCP inspector and auto-reload:

    npm run dev

This provides a debugging interface for testing tool calls and responses.

Usage

Basic Workflow

  1. List Available Datasets:

    • Use list_datasets tool to see available datasets

    • Review metadata, pricing, and column information

    • Public columns are immediately queryable

  2. Query Datasets with Automatic Purchase:

    • Use query_dataset tool with SQL queries

    • System automatically handles NFT purchase for private data access

    • Payment processed through Ethereum smart contract when needed

    • Lit Protocol handles decryption of private datasets post-purchase

Example Tool Usage

List datasets:

{ "tool": "list_datasets", "parameters": {} }

Query dataset:

{ "tool": "query_dataset", "parameters": { "datasetId": "0x1234...", "sql": "SELECT name, age FROM customers WHERE age > 25 LIMIT 100" } }

Project Structure

mcp/ ├── bin/ │ └── index.js # Main executable entry point ├── lib/ │ ├── contracts/ │ │ ├── FDBRegistry.js # Ethereum contract singleton │ │ └── FDBRegistry.json # Contract ABI and address │ ├── dataset/ │ │ ├── factory.js # Dataset factory pattern │ │ ├── filecoin/ │ │ │ ├── FilecoinDataset.js # Blockchain dataset implementation │ │ │ └── FilecoinDatasetFactory.js # Filecoin dataset factory │ │ └── mock/ │ │ ├── LocalDataset.js # Mock dataset for testing │ │ └── LocalDatasetFactory.js # Local dataset factory │ ├── tools/ │ │ ├── list-datasets.js # MCP tool: list datasets │ │ └── query-dataset.js # MCP tool: query datasets with auto-purchase │ ├── lit.js # Lit Protocol integration │ ├── signer.js # Ethereum wallet configuration │ ├── sql.js # SQL processing and security │ └── synapse.js # SynapseStorage integration ├── sample/ # Sample datasets for testing ├── server.js # MCP server and tool registration ├── types.d.ts # TypeScript type definitions └── package.json # ESM module configuration

Development

Coding Conventions

  • Module System: ESM modules with .js extensions in imports

  • Private Fields: Modern #fieldName syntax for encapsulation

  • Async Patterns: Prefer async/await over Promise chains

  • Type Safety: JSDoc comments with TypeScript syntax for type hints

Testing with Local Datasets

For development without blockchain dependency:

  1. Switch to LocalDatasetFactory in lib/dataset/factory.js

  2. Use sample data from sample/ directory

  3. Test tool functionality with MCP inspector

Adding New Tools

  1. Create tool file in lib/tools/ directory

  2. Follow existing tool patterns with Zod schemas

  3. Import and register in server.js

  4. Test with npm run dev and MCP inspector

Blockchain Development

  • Test on testnet before mainnet deployment

  • Use environment variables for network configuration

  • Handle gas costs and transaction failures gracefully

  • Implement proper error handling for network issues

Security Considerations

Access Control

  • NFT ownership verification for private dataset access

  • SQL query sanitization to prevent injection attacks

  • Ethereum private key protection via environment variables

Data Privacy

  • Public columns available for preview without purchase

  • Lit Protocol provides decentralized encryption and access control

  • Automatic purchase and decryption workflows for seamless data access

Query Security

  • Row limits enforced on SQL queries

  • Table name restrictions and input validation

  • Error messages that don't leak sensitive information

License

MIT

This server cannot be installed

-
security - not tested
F
license - not found
-
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.

Enables AI agents to discover, purchase, and query blockchain-based datasets using Filecoin/IPFS storage with Ethereum NFT access controls and Lit Protocol encryption. Provides a decentralized marketplace for secure dataset trading with automatic purchase workflows and SQL query capabilities.

  1. Overview
    1. Features
      1. Core Functionality
      2. MCP Tools
      3. Dataset Types
    2. Architecture
      1. Core Components
      2. Dataset Implementations
      3. Security & Data Processing
    3. Setup
      1. Prerequisites
      2. Installation
      3. Manual Execution
      4. Claude Desktop
      5. Development Mode
    4. Usage
      1. Basic Workflow
      2. Example Tool Usage
    5. Project Structure
      1. Development
        1. Coding Conventions
        2. Testing with Local Datasets
        3. Adding New Tools
        4. Blockchain Development
      2. Security Considerations
        1. Access Control
        2. Data Privacy
        3. Query Security
      3. License

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