DROYD MCP Server
Provides tools to search DROYD's knowledge base for crypto-related content, news, and developments specifically from YouTube.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DROYD MCP Server Find trending AI crypto projects and summarize my watchlist"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
DROYD MCP Server
A Model Context Protocol (MCP) server for the DROYD AI trading agent API. This server enables Claude Desktop, Claude Code, and other MCP clients to interact with DROYD's crypto research, project discovery, and trading capabilities.
Features
Agent Chat - Multi-turn conversations with DROYD AI agents (research, trading, data)
Content Search - Search DROYD's knowledge base for crypto news, posts, tweets, and more
Project Discovery - Find projects by name, symbol, address, or semantic concepts
Market Screening - Filter projects using market criteria or natural language
Watchlists - Access personal and swarm watchlists with agent evaluations
Trading - Open positions with flexible leg configurations (stops, takes, etc.)
Position Management - Manage trades and view P&L
Related MCP server: KirpyV3 MCP Server
Installation
Option 1: npm (Recommended)
npx @droyd/mcp-serverOption 2: Clone Repository
git clone https://github.com/droyd/mcp-server.git
cd mcp-server
npm install
npm run buildConfiguration
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"droyd": {
"command": "npx",
"args": ["-y", "@droyd/mcp-server"],
"env": {
"DROYD_API_KEY": "your-api-key"
}
}
}
}Claude Code
Add to your MCP settings:
{
"mcpServers": {
"droyd": {
"command": "npx",
"args": ["-y", "@droyd/mcp-server"],
"env": {
"DROYD_API_KEY": "your-api-key"
}
}
}
}Local Development
{
"mcpServers": {
"droyd": {
"command": "node",
"args": ["/path/to/droyd-mcp-server/dist/index.js"],
"env": {
"DROYD_API_KEY": "your-api-key"
}
}
}
}Environment Variables
Variable | Required | Description |
| Yes | Your DROYD API key |
| No | Override API base URL (default: https://api.droyd.ai) |
Available Tools
Agent
Tool | Description |
| Chat with a DROYD AI agent (research, trading, data). Supports multi-turn conversations. |
Search
Tool | Description |
| Search the knowledge base for posts, news, tweets, YouTube, developments |
Projects
Tool | Description |
| Find projects by name, symbol, address, or semantic query |
| Screen projects using market filters or natural language |
| Get personal/swarm watchlists with agent evaluations |
Trading
Tool | Description |
| Open positions with flexible leg configurations |
| Close, buy, sell, or update existing positions |
| View active positions, wallet holdings, and P&L |
Development
# Install dependencies
npm install
# Build
npm run build
# Run in development mode
npm run dev
# Type check
npm run typecheck
# Lint
npm run lintAPI Reference
For detailed API documentation, see DROYD API Docs.
Rate Limits
10 requests per 15 minutes per endpoint
HTTP 429 returned when limit exceeded
License
MIT
Available Tools
8 toolsdroyd_chatA
Chat with a DROYD AI agent. Supports multi-turn conversations.
Agent Types:
research - Deep research on crypto projects, trends, and market analysis
trading - Trading signals, momentum analysis, entry/exit recommendations
data - Market data queries, on-chain metrics, project statistics
chat - General conversational assistant
agent - Full capabilities with all tools
Multi-turn Conversations:
Include the conversation_uuid from a previous response to continue the conversation.
Examples:
Start new chat: { "message": "What are the top DeFi trends?" }
Continue conversation: { "message": "Tell me more about the first one", "conversation_uuid": "abc-123" }
Trading analysis: { "message": "Analyze SOL momentum", "agent_type": "trading" }
Inputs: message (required), agent_type, conversation_uuid, attached_content.
droyd_filter_projectsA
Filter and screen crypto projects using market criteria.
Filter Modes:
natural_language - Describe what you want (e.g., "trending micro-cap Solana tokens")
direct - Use specific filter parameters
Sort Options: market_cap, price_change, traders, traders_change, volume, volume_change, buy_volume_ratio, quant_score, quant_score_change, mentions_24h, mentions_7d
Chains: solana, ethereum, base, arbitrum
Note: Market cap values are in MILLIONS (e.g., max_market_cap: 10 = $10M)
Examples:
Natural language: { "filter_mode": "natural_language", "instructions": "Find trending micro-cap Solana tokens with high trader growth" }
Direct filters: { "filter_mode": "direct", "sort_by": "traders_change", "tradable_chains": ["solana"], "max_market_cap": 10, "min_liquidity": 50000 }
Oversold tokens: { "filter_mode": "direct", "sort_by": "quant_score", "sort_direction": "asc", "max_rsi": 30 }
Inputs: filter_mode (required), instructions, sort_by, sort_direction, +17 more.
droyd_get_positionsA
Retrieve active trading positions and wallet holdings.
Returns:
All active strategies with their legs (stop losses, take profits, etc.)
Executed swaps history
P&L summary (realized, unrealized, total)
Wallet holdings with current values
Overall portfolio summary
Use leg_status="all" to include executed/completed legs in the response.
Examples:
Active only: { "leg_status": "active" }
Include history: { "leg_status": "all" }
Inputs: leg_status.
droyd_get_watchlistA
Get watchlist projects for the authenticated user.
Scopes:
agent - Personal agent watchlist only
swarm - Community swarm watchlists
combined - Both personal and swarm (default)
Returns projects with agent evaluations including investment scores and thesis points.
Examples:
Get combined: { "scope": "combined" }
Agent only: { "scope": "agent", "include_attributes": ["market_data", "technical_analysis"] }
With limit: { "scope": "swarm", "limit": 10 }
Inputs: scope, include_attributes, limit.
droyd_manage_tradeA
Manage existing trading positions. Close positions, execute additional buys/sells, or modify strategy legs.
Actions:
close - Exit entire position at market
buy - Add to existing position (requires amountUSD)
sell - Partial exit (requires sellPercent, e.g., 0.5 = sell 50%)
update - Modify stop losses and take profits
Examples:
Close position: { "strategy_id": 789, "action": "close" }
Partial sell: { "strategy_id": 789, "action": "sell", "sellPercent": 0.25 }
Add buy: { "strategy_id": 789, "action": "buy", "amountUSD": 50 }
Add stop loss: { "strategy_id": 789, "action": "update", "legs": [ { "leg_action": "add", "type": "stop_loss", "amountUSD": 100, "triggerPercent": 0.10 } ]}
Update existing leg: { "strategy_id": 789, "action": "update", "legs": [ { "leg_action": "update", "leg_id": 123, "triggerPercent": 0.15 } ]}
Remove leg: { "strategy_id": 789, "action": "update", "legs": [ { "leg_action": "remove", "leg_id": 456 } ]}
Inputs: strategy_id (required), action (required), amountUSD, portfolio_percent, +3 more.
droyd_open_tradeA
Open a new trading position with flexible leg configurations.
Leg Types & Trigger Interpretation:
market_buy - Immediate buy at market price (no trigger needed)
limit_order - Buy when price drops by triggerPercent (0.05 = buy at 5% below current)
stop_loss - Sell when price drops by triggerPercent (0.10 = sell at 10% below entry)
take_profit - Sell when price rises by triggerPercent (0.20 = sell at 20% above entry)
quant_buy - Buy when momentum score reaches triggerPercent (e.g., 15)
quant_sell - Sell when momentum score reaches triggerPercent (e.g., -10)
Examples:
Simple buy: { "project_id": 123, "legs": [{ "type": "market_buy", "amountUSD": 100 }] }
With stop loss: { "project_id": 123, "legs": [ { "type": "market_buy", "amountUSD": 100 }, { "type": "stop_loss", "amountUSD": 100, "triggerPercent": 0.15 } ]}
Scaled take profits: { "project_id": 123, "legs": [ { "type": "market_buy", "amountUSD": 100 }, { "type": "stop_loss", "amountUSD": 100, "triggerPercent": 0.10 }, { "type": "take_profit", "amountUSD": 50, "triggerPercent": 0.25, "positionPercent": 0.5 }, { "type": "take_profit", "amountUSD": 50, "triggerPercent": 0.50, "positionPercent": 0.5 } ]}
Inputs: legs (required), project_id, contract_address, chain, +1 more.
droyd_search_contentA
Search the DROYD knowledge base for crypto content.
Search Modes:
recent - Browse latest content by type, category, or ecosystem
semantic - AI-powered search with natural language query
Content Types: posts, news, developments, tweets, youtube, memories, concepts
Categories: defi, nfts, gaming, ai, memecoins, stablecoins, rwas, depin, wallets, etc.
Ecosystems: solana, ethereum, base, bitcoin, arbitrum, optimism, polygon, avalanche, etc.
Examples:
Recent DeFi news: { "search_mode": "recent", "content_types": ["news"], "categories": ["defi"], "days_back": 7 }
Semantic search: { "search_mode": "semantic", "query": "AI agents in crypto", "include_analysis": true }
Ecosystem research: { "search_mode": "recent", "ecosystems": ["solana", "base"], "content_types": ["posts", "tweets"] }
Inputs: search_mode (required), query, content_types, categories, +6 more.
droyd_search_projectsA
Search for crypto projects by name, symbol, address, or semantic query.
Search Types:
project_id - Direct ID lookup (fastest)
name - Search by project name (e.g., "Jupiter", "Raydium")
symbol - Search by ticker symbol (e.g., "JUP", "RAY", "SOL")
address - Search by contract address (exact match)
semantic - AI-powered concept search (e.g., "AI agents in DeFi")
Attributes: developments, recent_content, technical_analysis, market_data, mindshare, detailed_description, metadata
Examples:
By name: { "search_type": "name", "queries": ["Jupiter", "Raydium"] }
By symbol: { "search_type": "symbol", "queries": ["SOL", "ETH", "BTC"] }
Semantic: { "search_type": "semantic", "queries": ["liquid staking protocols on Solana"] }
With data: { "search_type": "name", "queries": ["Bitcoin"], "include_attributes": ["market_data", "technical_analysis"] }
Inputs: search_type (required), queries (required), limit, include_attributes, +3 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 8 tools
Most tools have distinct purposes: chat, filter projects, get positions, manage trades, open trades, search content, and search projects are clearly separated. However, droyd_get_positions and droyd_get_watchlist could be slightly overlapping in providing portfolio-related data, but their descriptions clarify that positions are for active trades while watchlists are for tracked projects.
All tools follow a consistent 'droyd_verb_noun' pattern with snake_case throughout: droyd_chat, droyd_filter_projects, droyd_get_positions, droyd_get_watchlist, droyd_manage_trade, droyd_open_trade, droyd_search_content, droyd_search_projects. This makes them predictable and easy to identify.
With 8 tools, this is well-scoped for a crypto trading and research server. Each tool serves a specific function in the domain, from chatting with AI agents to managing trades and searching for projects or content, without being overwhelming or too sparse.
The toolset covers core crypto workflows: research (chat, search), project discovery (filter, search), portfolio management (get positions, watchlist), and trading (open, manage). A minor gap is the lack of a tool for direct market data queries or analytics beyond chat, but the chat tool with agent types like 'data' and 'trading' can partially fill this role.
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