Dritan MCP▌
by amirdauti
Dritan MCP lets personal agents access Solana market data and execute token swaps via the Dritan SDK while keeping local
Enables personal agents to access Solana market data and execute token swaps via the Dritan SDK while maintaining local wallet security. It provides tools for wallet management, real-time token price tracking, and secure transaction signing and broadcasting.
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best for
- / Crypto traders building automated strategies
- / Developers integrating Solana functionality
- / Portfolio management automation
capabilities
- / Execute Solana token swaps
- / Track real-time token prices
- / Manage Solana wallets locally
- / Sign and broadcast transactions
- / Query Solana market data
- / Monitor portfolio balances
what it does
Provides Solana blockchain access for token trading and wallet management through a local SDK. Keeps your private keys secure while enabling automated trading operations.
about
Dritan MCP is a community-built MCP server published by amirdauti that provides AI assistants with tools and capabilities via the Model Context Protocol. Dritan MCP lets personal agents access Solana market data and execute token swaps via the Dritan SDK while keeping local It is categorized under finance, developer tools.
how to install
You can install Dritan MCP 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
Dritan MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
dritan-mcp
MCP server for personal agents to use dritan-sdk for market data and swap execution, with local Solana wallet signing.
Requirements
- Node.js 20+
solana-keygenavailable inPATH- Optional: Dritan API key (
DRITAN_API_KEY) for market/swap tools. - For paid onboarding without an existing key, use x402 tools.
Setup
npm install
cp .env.example .env
Install As MCP (npx)
npx @dritan/mcp@latest
Codex example:
codex mcp add dritan npx "@dritan/mcp@latest"
Run
npm run dev
# or
npm run build && npm start
Tools
system_check_prereqsauth_statusauth_set_api_keyauth_clear_api_keywallet_create_localwallet_get_addresswallet_get_balancewallet_transfer_solx402_get_pricingx402_create_api_key_quotex402_create_api_keydritan_healthmarket_get_snapshottoken_searchtoken_get_pricetoken_get_metadatatoken_get_risktoken_get_first_buyerstoken_get_aggregatedtoken_get_deployer_statstoken_get_ohlcvtoken_get_ohlcv_chartwallet_get_performancewallet_get_performance_chartwallet_get_token_performancewallet_get_portfolio_chartwallet_get_portfolio_chart_visualwallet_get_summarywallet_get_trade_historywallet_get_holdingswallet_get_holdings_chartwallet_get_holdings_pagemarket_stream_samplewallet_stream_sampleths_healthths_get_scoreths_get_score_tokens_getths_get_score_tokens_postths_get_top_walletsswap_buildswap_sign_and_broadcastswap_build_sign_and_broadcast
Notes
- Wallets default to the current working directory (
process.cwd()). - Private keys never leave local files; only public address/signature are returned.
swap_sign_and_broadcastsigns locally, then broadcasts via Dritan.auth_set_api_keyactivates a key for the running MCP process without restart and persists it to a local auth store.auth_set_api_keyand successfulx402_create_api_keyresponses include a capability summary so agents can immediately guide users to next actions.- Agent onboarding without an active API key should use x402-first flow (
wallet_create_localin current directory -> share wallet + backup file path -> user chooses SOL amount and funds agent wallet -> if no key exists usex402_create_api_key_quote->wallet_transfer_sol->x402_create_api_key). - Free key at
https://dritan.devis fallback only if the user declines funding or x402 cannot proceed. x402_create_api_keyauto-activates returned keys and persists them locally for restart recovery.- Default auth store path is
.dritan-mcp/auth.jsonunder current working directory; override withDRITAN_MCP_AUTH_FILE. - Use
auth_clear_api_keyto remove in-memory + persisted key state (and optionally clear process env key). token_get_ohlcv_chartreturns ready-to-send markdown image output (raw chart URL fields are intentionally omitted to force inline embedding).token_get_ohlcv_chartsupportschartType: "line-volume" | "candlestick"(default iscandlestick).token_get_ohlcv_chartdefaults tomaxPoints: 30; set highermaxPointsonly when users explicitly ask for more history.- Wallet visual chart workflow:
wallet_get_holdings_chartfor balance allocation (token distribution).wallet_get_portfolio_chart_visualfor portfolio equity curve.wallet_get_performance_chartfor PnL history/summary/token-level bars depending on available fields.- For all chart tools, agents should send the returned
markdownfield directly (no plain URL output). ths_get_top_walletsreturns a paginated leaderboard of THS-ranked wallets (page,limit) for smart-wallet discovery workflows.- Ticker workflow for chart requests:
token_search-> extract mint ->token_get_ohlcvortoken_get_ohlcv_chart. - If users ask for
$WIFstyle symbols, always resolve mint withtoken_searchfirst. - If Solana CLI is missing, run
system_check_prereqsand follow returned install steps.
FAQ
- What is the Dritan MCP MCP server?
- Dritan MCP 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 Dritan MCP?
- This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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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Ratings
4.6★★★★★68 reviews- ★★★★★Nikhil Huang· Dec 28, 2024
Dritan MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Nikhil Brown· Dec 24, 2024
Dritan MCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Dec 20, 2024
Dritan MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ira Verma· Dec 20, 2024
We evaluated Dritan MCP against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chen Khan· Dec 16, 2024
Dritan MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Harper Gonzalez· Dec 8, 2024
Dritan MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Nikhil Flores· Nov 27, 2024
Strong directory entry: Dritan MCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Nikhil Kim· Nov 19, 2024
We wired Dritan MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Olivia Gupta· Nov 19, 2024
I recommend Dritan MCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ishan Reddy· Nov 15, 2024
Useful MCP listing: Dritan MCP is the kind of server we cite when onboarding engineers to host + tool permissions.
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