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Data Cleaning & Validation for AI Agents

R2· OAuth, once

Turn messy exports into clean, consistent data agents can trust, with every change logged.

v1.0.0 · active · repository · website · descriptor JSON · versions

An agent can connect after a one-time OAuth consent by a human.Remote endpoint behind OAuth 2. Tokens stay with the agent; the registry only exposes the authorization metadata.
Quality100new
Trust88of 100
Uptime, 30 days100%
Latency p50688 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "data-cleaning": {
      "type": "http",
      "url": "https://data-cleaning-mcp.saifs.ai/mcp"
    }
  }
}
claude mcp add --transport http data-cleaning https://data-cleaning-mcp.saifs.ai/mcp
[mcp_servers.data-cleaning]
url = "https://data-cleaning-mcp.saifs.ai/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "data-cleaning": {
      "type": "remote",
      "url": "https://data-cleaning-mcp.saifs.ai/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "data-cleaning": {
      "type": "http",
      "url": "https://data-cleaning-mcp.saifs.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=data-cleaning&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZGF0YS1jbGVhbmluZy1tY3Auc2FpZnMuYWkvbWNwIn0%3D"
}
{
  "servers": {
    "data-cleaning": {
      "type": "http",
      "url": "https://data-cleaning-mcp.saifs.ai/mcp"
    }
  }
}
{
  "mcpServers": {
    "data-cleaning": {
      "httpUrl": "https://data-cleaning-mcp.saifs.ai/mcp"
    }
  }
}
extensions:
  "data-cleaning":
    enabled: true
    name: "data-cleaning"
    type: streamable_http
    uri: "https://data-cleaning-mcp.saifs.ai/mcp"
    timeout: 300

Quality 100 / 100new

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorization100 · weight 15
  • pass
    auth.prmProtected Resource Metadata (RFC 9728) published
  • pass
    auth.as_metadataauthorization server metadata reachable
  • pass
    auth.cimdClient ID Metadata Documents supported
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dump, tools.hidden_texttool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pull, stability.new_linkstool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-11-14 07:03 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 88 / 100

duplicate-repo
provenance85
liveness100
freshness100
hygiene60

+repository +dns-namespace +website +reachable +uptime-100% +updated-1d-ago -duplicate-repo(26 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://data-cleaning-mcp.saifs.ai/mcp streamable-httpoauth2 AS: https://multiplewords.inyes100%688 ms–2026-11-14

Tools (0)

No tools observed. Tools appear once a credential-free probe can list them.

Schemas: list_tools.

Also listed as

25 other active names share this repository (showing 10): ai.saifs/assessment-intelligence, ai.saifs/business-calculator, ai.saifs/cash-forecast, ai.saifs/code-execution, ai.saifs/collections-optimizer, ai.saifs/customer-intelligence, ai.saifs/demand-forecasting, ai.saifs/financial-anomaly, ai.saifs/hiring-fairness, ai.saifs/indian-railways-irctc

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Official server.json
{
  "name": "ai.saifs/data-cleaning",
  "title": "Data Cleaning & Validation for AI Agents",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://data-cleaning-mcp.saifs.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "repository": {
    "url": "https://github.com/Saify-Technologies/saifs-ai-mcps-docs",
    "source": "github",
    "subfolder": "servers/data-cleaning"
  },
  "websiteUrl": "https://saifs.ai",
  "description": "Turn messy exports into clean, consistent data agents can trust, with every change logged."
}