Datasieve MCP Server

On-chain watches, web-page monitors, dead-man switches, cron, and agent coordination, paid via x402.

Local serverstdio

What is the Datasieve MCP server?

On-chain watches, web-page monitors, dead-man switches, cron, and agent coordination, paid via x402. That is what the datasieve mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

MCP server for DataSieve — standing infrastructure for AI agents, paid over x402. On-chain conditions on Base (wallet activity, whale transfers, price crossings, new pools), url-change web monitoring (CSS selector / regex scoped), dead-man switches for your own agents (your agent pings a URL; silence fires the alert), cron schedules (fire a webhook every N seconds, at a time, or on a cron expression), and multi-agent coordination (barriers + locks). Every event carries a signed Ed25519 observation receipt. No account, no API key: one gasless USDC payment per watch, signed

The tools it exposes

The server publishes 12 tools. What each one is for:

  • create_watch — $0.10 (standard/7d) · $0.25 (composite/7d, ≤5 conditions) · $0.35 (standard30/30d) · $0.85 (composite30/30d)
  • renew_watch — tier price
  • coord_workspace — $0.25 / 7d
  • cron_next — $0.001
  • x402_ping — $0.001
  • watch_status — free
  • drain_events — free
  • ping_heartbeat — free
  • verify_receipt — free
  • delete_watch — free
  • service_health — free
  • payment_status — free

What it needs from you

Configuration is passed through the environment: DATASIEVE_PRIVATE_KEY, DATASIEVE_API_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

The server ships on npm as datasieve-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Datasieve's toolset — create_watch, renew_watch, coord_workspace and 9 more — is a fair guide to whether it matches your workflow. It is maintained by gitwormq; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Datasieve's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 12 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Datasieve.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
create_watch$0.10 (standard/7d) · $0.25 (composite/7d, ≤5 conditions) · $0.35 (standard30/30d) · $0.85 (composite30/30d)
renew_watchtier price
coord_workspace$0.25 / 7d
cron_next$0.001
x402_ping$0.001
watch_statusfree
drain_eventsfree
ping_heartbeatfree
verify_receiptfree
delete_watchfree
service_healthfree
payment_statusfree

How to install the Datasieve MCP server

{
  "mcpServers": {
    "datasieve": {
      "command": "npx",
      "args": ["-y", "datasieve-mcp"],
      "env": {
        "DATASIEVE_PRIVATE_KEY": "your-value",
        "DATASIEVE_API_URL": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
DATASIEVE_PRIVATE_KEYCredential the server authenticates with.Yes
DATASIEVE_API_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use Datasieve to create watch.
  • Use Datasieve to renew watch.
  • Use Datasieve to coord workspace.

Frequently asked questions

It connects Datasieve to MCP-compatible AI assistants such as Claude and Cursor, exposing 12 tools (create_watch, renew_watch, coord_workspace, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Datasieve directly.