Model Context Protocol (MCP) Server for Shardeum blockchain interaction
Shardeum MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Model Context Protocol (MCP) Server for Shardeum blockchain interaction.
Model Context Protocol server for distributed-system inspection and developer workflows on Shardeum.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Once Shardeum is connected, these are the calls the assistant has available:
Security — reviewed MCP server listing through MseeP/Smithery badgesshardeum_getNodeList — shardeum_getNetworkAccounteth_blockNumber — eth_getBlockByHasheth_getBlockByNumber — eth_getBlockReceiptseth_getTransactionByHash — eth_getTransactionReceipteth_getBalance — eth_estimateGasPlenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Shardeum's toolset — Security, shardeum_getNodeList, eth_blockNumber and 3 more — is a fair guide to whether it matches your workflow. It is maintained by abdulazeem-tk4vr; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Security | reviewed MCP server listing through MseeP/Smithery badges |
| shardeum_getNodeList | shardeum_getNetworkAccount |
| eth_blockNumber | eth_getBlockByHash |
| eth_getBlockByNumber | eth_getBlockReceipts |
| eth_getTransactionByHash | eth_getTransactionReceipt |
| eth_getBalance | eth_estimateGas |
Cursor MCP config:
```json
{
"mcpServers": {
"shardeum-mcp": {
"command": "node",
"args": ["path_to/shardeum-mcp-server/index.js"]
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.