Datasieve vs MCP Victoriametrics
A side-by-side look at the Datasieve and MCP Victoriametrics MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Datasieve for monitoring work as a local process; choose MCP Victoriametrics for monitoring over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Datasieve when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a local stdio subprocess transport.
- You want tools like
create_watch, watch_status, drain_events.
Choose MCP Victoriametrics when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a remote HTTP/SSE transport.
- You have the keys it needs:
VM_INSTANCE_ENTRYPOINT, VMC_API_KEY, VM_INSTANCE_TYPE. - You want tools like
active_queries, alerts, documentation.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Monitoring | Monitoring |
| Quality signal | 57/100 · Good | 64/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Free |
| Required env vars | None listed | VM_INSTANCE_ENTRYPOINTVMC_API_KEYVM_INSTANCE_TYPE |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 240 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 19 | 17 |
| Full listing | View Datasieve | View MCP Victoriametrics |
Tools & capabilities
Datasieve tools 19
create_watchBuy a standing watch from DataSieve (https://api.datasieve.xyz). standard = $0.10/7d, 1 condition, 50 triggers; composite = $0.25/7d, up to 5 any-match conditions (e.g. 5 heartbeat dead-man switches), 200 triggers; standard30 = $0.35/30d and composite30 = $0.85/30d — one payment covers the month, for agents that will not be awake to renew weekly. Payment is a gasless USDC transfer signed locally. Events go to your webhookUrl (HMAC-signed) if set, and always to a server-side mailbox drained with drain_events; every event carries a signed Ed25519 observation receipt you can replay to third parties. Failed calls are never billed. The watch id + secret are remembered locally so later calls need only the id.watch_statusState, heartbeat lastCheckedAt, triggersUsed/cap, expiry, delivery stats, and for dead-man switches: up/down, lastPingAt, nextDeadline, pingUrl. Secret is looked up from local state if omitted.drain_eventsCollect everything the watch caught — works with zero infrastructure (the mailbox pattern). Pass `since` = last seen event id for incremental drains.renew_watchExtends the watch one more period (7 days, or 30 on the *30 tiers) at its tier price and resets the trigger budget. Renewing a paused watch also reactivates it.delete_watchpause_watchStop a watch firing (chain, web, heartbeat, schedule) without deleting it. The expiry clock keeps running. Use before a planned agent shutdown so your dead-man switch does not cry wolf.resume_watchBacklog-free resume: heartbeat deadlines restart from now and schedules jump to their next FUTURE slot — nothing that elapsed during the pause replays.cron_nextNext N run times for a cron expression in any IANA timezone, plus seconds-until-next. If the goal is for something to HAPPEN at those times, create_watch with a schedule condition instead — DataSieve fires the cron as signed webhooks for the life of the watch.x402_pingThe cheapest possible real x402 purchase: proves this wallet + client can pay a production seller before you point it at anything expensive. Returns payer + network; failed calls are never billed.verify_receiptEvery DataSieve event carries receipt {alg, keyId, statement, sig} — an Ed25519 attestation that DataSieve observed the event. This checks it against the service key, so an agent can validate evidence handed to it by ANOTHER agent without trusting that agent.ping_heartbeatKeep a dead-man switch alive. Pass the pingUrl from create_watch (or a watchId whose ping URLs are in local state). Call this at least once per intervalSeconds.service_healthScanner cursor lag vs chain head — verify the watcher is alive before you buy.- +7 more on the listing page
MCP Victoriametrics tools 17
active_queriesActive queries. This tool can determine currently active queries in the VictoriaMetrics instance. This information is obtained from the "/api/v1/status/active_queries" HTTP endpoint of VictoriaMetrics API.alertsList of firing and pending alerts of the VictoriaMetrics instance. This tool uses `/api/v1/alerts` endpoint of vmalert API, proxied by VictoriaMetrics API.documentationSearch documentation resources for the given search query, returning the URIs of the resources that match the search criteria sorted by relevance. This tool can help to get context for any VictoriaMetrics related question.explain_queryExplain how MetricsQL query workslabel_valuesList of label values from VictoriaMetrics instance for a provided label name. This tool uses `/api/v1/label/{labelName}/values` endpoint of VictoriaMetrics API.labelsList of label names of the VictoriaMetrics instance. This tools uses `/api/v1/labels` endpoint of VictoriaMetrics API.metric_statisticsStatistics of metrics usage in queries of the VictoriaMetrics instance. This tool helps to identify unused (never queried) or rarely used metrics or conversely actively queried metrics. This tool uses `/api/v1/status/metric_names_stats` endpoint of VictoriaMetrics API.metricsList of available metrics of the VictoriaMetrics instance. This tool uses `/api/v1/label/__name__/values` endpoint of VictoriaMetrics API.metrics_metadataReturns stored metrics details (metadata) such as name, type, help (description), and unit, and can be used to generate natural language queries. This tool uses `/api/v1/metadata` endpoint of VictoriaMetrics API.prettify_queryPrettify (format) MetricsQL query. This tool uses `/prettify-query` endpoint of VictoriaMetrics API.queryInstant query executes PromQL or MetricsQL query expression at the given time. The result of Instant query is a list of time series matching the filter in query expression. Each returned series contains exactly one (timestamp, value) entry, where timestamp equals to the time query arg, while the value contains query result at the requested time. This tool uses `/api/v1/query` endpoint of VictoriaMetrics API.query_rangeRange query executes the query expression at the given [start…end] time range with the given step. The result of Range query is a list of time series matching the filter in query expression. Each returned series contains (timestamp, value) results for the query executed at start, start+step, start+2*step, …, start+N*step timestamps. In other words, Range query is an Instant query executed independently at start, start+step, …, start+N*step timestamps with the only difference that an instant query does not return ephemeral samples (see below). Instead, if the database does not contain any samples for the requested time and step, it simply returns an empty result. This tool uses `/api/v1/query_range` endpoint of VictoriaMetrics API.- +5 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Datasieve
{
"mcpServers": {
"datasieve": {
"command": "npx",
"args": [
"-y",
"datasieve-mcp"
]
}
}
}
MCP Victoriametrics
{
"mcpServers": {
"mcp-victoriametrics": {
"url": "http://localhost:8080/mcp"
}
}
}
Frequently asked questions
Datasieve is categorized under Monitoring and uses a local stdio subprocess. MCP Victoriametrics belongs to Monitoring and uses a remote HTTP/SSE transport. Pick Datasieve for monitoring work and MCP Victoriametrics for monitoring.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Datasieve has no declared pricing — check the project's own site. MCP Victoriametrics is listed as free. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add datasieve and mcp-victoriametrics as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Datasieve has a quality signal of 57/100 (Good) with 1 views, 0 installs and 0 GitHub stars. MCP Victoriametrics has 64/100 (Good) with 3 views, 0 installs and 240 GitHub stars.