Algorand MCP
MCP server for the Algorand blockchain platform. Enables AI agents to query Algorand account balances, transaction history, smart contract state, ASA (Algorand Standard Assets) data, and on-chain analytics. Supports both Algorand mainnet and testnet for development and production blockchain interactions.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Read-only blockchain data. HTTPS to node providers. On-chain data is public. API key for node access.
⚡ Reliability
Best When
A blockchain developer or DeFi user working in the Algorand ecosystem wants AI agents to query on-chain data, analyze wallets, and interact with Algorand smart contracts.
Avoid When
You're working with other blockchains. Algorand has a distinctive architecture (pure proof-of-stake, TEAL smart contracts) — use blockchain-specific MCPs for the chain you're on.
Use Cases
- • Querying Algorand wallet balances and transaction history from blockchain agents
- • Fetching ASA (Algorand Standard Asset) data and token information
- • Inspecting Algorand smart contract state from analysis agents
- • Building Algorand DeFi analytics and portfolio monitoring agents
Not For
- • Signing and submitting Algorand transactions (if read-only API)
- • Non-Algorand blockchain interactions (Ethereum, Solana use different MCPs)
- • Real-time transaction streaming (Algorand node access typically polling-based)
Interface
Authentication
Algorand node API or Algod/Indexer API key required. Can use AlgoNode, PureStake, or self-hosted Algorand node.
Pricing
MCP server is free open source from GoPlausible. Algorand node API access varies by provider.
Agent Metadata
Known Gotchas
- ⚠ Algorand ecosystem is smaller than Ethereum — documentation and tooling quality varies
- ⚠ TEAL smart contracts have unique execution model — agents need Algorand-specific knowledge
- ⚠ Transaction pagination required for high-volume wallets — implement limits
- ⚠ GoPlausible is a community developer — verify current maintenance status
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Algorand MCP.
Scores are editorial opinions as of 2026-03-06.