financedeveloper-tools

Dritan MCP

amirdauti

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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Local wallet securityReal-time market dataDirect Solana integration

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-keygen available in PATH
  • 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_prereqs
  • auth_status
  • auth_set_api_key
  • auth_clear_api_key
  • wallet_create_local
  • wallet_get_address
  • wallet_get_balance
  • wallet_transfer_sol
  • x402_get_pricing
  • x402_create_api_key_quote
  • x402_create_api_key
  • dritan_health
  • market_get_snapshot
  • token_search
  • token_get_price
  • token_get_metadata
  • token_get_risk
  • token_get_first_buyers
  • token_get_aggregated
  • token_get_deployer_stats
  • token_get_ohlcv
  • token_get_ohlcv_chart
  • wallet_get_performance
  • wallet_get_performance_chart
  • wallet_get_token_performance
  • wallet_get_portfolio_chart
  • wallet_get_portfolio_chart_visual
  • wallet_get_summary
  • wallet_get_trade_history
  • wallet_get_holdings
  • wallet_get_holdings_chart
  • wallet_get_holdings_page
  • market_stream_sample
  • wallet_stream_sample
  • ths_health
  • ths_get_score
  • ths_get_score_tokens_get
  • ths_get_score_tokens_post
  • ths_get_top_wallets
  • swap_build
  • swap_sign_and_broadcast
  • swap_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_broadcast signs locally, then broadcasts via Dritan.
  • auth_set_api_key activates a key for the running MCP process without restart and persists it to a local auth store.
  • auth_set_api_key and successful x402_create_api_key responses 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_local in current directory -> share wallet + backup file path -> user chooses SOL amount and funds agent wallet -> if no key exists use x402_create_api_key_quote -> wallet_transfer_sol -> x402_create_api_key).
  • Free key at https://dritan.dev is fallback only if the user declines funding or x402 cannot proceed.
  • x402_create_api_key auto-activates returned keys and persists them locally for restart recovery.
  • Default auth store path is .dritan-mcp/auth.json under current working directory; override with DRITAN_MCP_AUTH_FILE.
  • Use auth_clear_api_key to remove in-memory + persisted key state (and optionally clear process env key).
  • token_get_ohlcv_chart returns ready-to-send markdown image output (raw chart URL fields are intentionally omitted to force inline embedding).
  • token_get_ohlcv_chart supports chartType: "line-volume" | "candlestick" (default is candlestick).
  • token_get_ohlcv_chart defaults to maxPoints: 30; set higher maxPoints only when users explicitly ask for more history.
  • Wallet visual chart workflow:
  • wallet_get_holdings_chart for balance allocation (token distribution).
  • wallet_get_portfolio_chart_visual for portfolio equity curve.
  • wallet_get_performance_chart for PnL history/summary/token-level bars depending on available fields.
  • For all chart tools, agents should send the returned markdown field directly (no plain URL output).
  • ths_get_top_wallets returns 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_ohlcv or token_get_ohlcv_chart.
  • If users ask for $WIF style symbols, always resolve mint with token_search first.
  • If Solana CLI is missing, run system_check_prereqs and 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. 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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Ratings

4.668 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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