Is the Ojaskord Data Compliance MCP server down?

mcp-registry/io.github.ojaskord/data-compliance-mcp · v1.0.38

Also listed as glama/ojaskord/data-compliance-classifier-mcp

healthy
Last checked 2026-10-21 11:37 UTC · handshake 103ms

As of 2026-10-21 11:37 UTC, the Ojaskord Data Compliance MCP server is up with a Glimind reliability score of 97/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 2 outages in 90 days, with a median recovery of 5 minutes.

uptime (30d checks)
100%
checks observed
4,118
outages (90d)
2
tools
3

Classify data safety before storing or sharing. GDPR, HIPAA, PCI-DSS, CCPA. AI-powered.

Install Ojaskord Data Compliance MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http ojaskord-data-compliance-mcp-server https://data-compliance-mcp-production.up.railway.app

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "ojaskord-data-compliance-mcp-server": {
      "type": "http",
      "url": "https://data-compliance-mcp-production.up.railway.app"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: B (85/100)

B (85/100): 0 error(s), 3 warning(s) across 3 tool(s); ~1,066 tokens of tool definitions.
Scores higher than 49% of 15,467 MCP servers Glimind has audited.
Its tool list costs an agent ~1,066 tokens per session — lighter than 75% of servers.
85 → 85 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions100
Safety hints30
Token cost100
Client compatibility100
Protocol40
Reliability85
Stability100

What to fix (3)

3 of 3 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: get_safety_report, validate_data_safety, validate_data_safety_lite

Negotiates MCP 2024-11-05. Structured output, tool output schemas and elicitation arrived in 2025-06-18.

Upgrade the MCP SDK and negotiate 2025-06-18 or newer. How to fix →

Handshake + tools/list takes ~1,600 ms.

Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.

Auto-fix: 3 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp/fixes

get_safety_report 1 change
{
  "name": "get_safety_report",
  "description": "Retrieves a detailed compliance report and remediation strategy for a flagged payload. Call this BEFORE your agent decides whether to proceed, redact, or halt -- immediately after validate_data_safety returns REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE. Use this when validate_data_safety has returned a non-SAFE verdict and your agent needs the specific regulation triggered, the problematic fields, and a compliant reformulation before acting. Returns the specific regulation triggered, exact ",
  "inputSchema": {
    "type": "object",
    "required": [
      "mode"
    ],
    "properties": {
      "mode": {
        "enum": [
          "REPORT",
          "BATCH",
          "AUDIT"
        ],
        "type": "string",
        "description": "REPORT: get redaction strategy and compliant reformulation for a flagged payload. BATCH: classify up to 50 payloads. AUDIT: generate compliance summary report."
      },
      "context": {
        "type": "string",
        "description": "What will be done with this data. Used to improve verdict accuracy."
      },
      "payload": {
        "type": "string",
        "description": "The flagged payload to analyse. Required for REPORT mode."
      },
      "payloads": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Array of data payloads to classify. Required for BATCH mode. Maximum 50."
      },
      "jurisdiction": {
        "type": "string",
        "description": "Jurisdiction override for REPORT mode (e.g. \"EU\", \"US\", \"UK\"). Optional."
      },
      "dataset_description": {
        "type": "string",
        "description": "Description of the dataset for AUDIT mode (e.g. \"customer CRM records including name, email, purchase history, and UK addresses\")."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
validate_data_safety 1 change
{
  "name": "validate_data_safety",
  "description": "Validates a data payload against GDPR, HIPAA, PCI-DSS, and other frameworks. Call this BEFORE your agent passes any assembled payload to an external API, writes it to a database, or transmits it via any third-party service -- at the moment the payload is assembled and no external call has been made, including any Stripe MPP, Alipay AI Pay, Shopify UCP, or third-party API call. Use this when your agent has assembled user-sourced or API-response data and is about to write it to storage or transmit",
  "inputSchema": {
    "type": "object",
    "required": [
      "payload"
    ],
    "properties": {
      "context": {
        "type": "string",
        "description": "What your agent is about to do with this data (e.g. \"write to database\", \"send to third-party API\", \"log to file\", \"pass to email tool\"). Improves verdict accuracy."
      },
      "payload": {
        "type": "string",
        "description": "The data payload to classify. Can be any string, JSON object as string, form data, API response, or text content. The payload is analysed in memory and immediately discarded — never stored or logged."
      },
      "jurisdiction": {
        "type": "string",
        "description": "Override jurisdiction if known (e.g. \"EU\", \"US\", \"UK\", \"CA\", \"AU\"). Use if data_origin_ip is unavailable but jurisdiction is known."
      },
      "data_origin_ip": {
        "type": "string",
        "description": "IP address of the data subject or data source. Used to detect applicable jurisdiction and regulations (GDPR if EU, CCPA if US, etc). Optional but improves regulatory accuracy."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
validate_data_safety_lite 1 change
{
  "name": "validate_data_safety_lite",
  "description": "Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms -- no AI, no IP check, no jurisdiction lookup. Treating a SAFE_T",
  "inputSchema": {
    "type": "object",
    "required": [
      "payload"
    ],
    "properties": {
      "context": {
        "type": "string",
        "description": "Optional: what your agent plans to do with this data."
      },
      "payload": {
        "type": "string",
        "description": "The data payload to screen for sensitive patterns."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.ojaskord/data-compliance-mcp"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.ojaskord/data-compliance-mcp"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp.svg)](https://glimind.com/server/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.ojaskord%2Fdata-compliance-mcp?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:85d10c5af517c35b…, first seen 2026-10-17, included at leaf 1536 of 39,300. Version history · verify what your client received.

Tools (3)

Compare: most reliable security servers

Know before your agent calls it

Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.

Add Glimind — free, no signup:

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Ojaskord Data Compliance MCP server down right now?

As of 2026-10-21 11:37 UTC, the Ojaskord Data Compliance MCP server is up with a Glimind reliability score of 97/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 2 outages in 90 days, with a median recovery of 5 minutes.

How many tools does Ojaskord Data Compliance MCP server provide?

Ojaskord Data Compliance MCP server advertises 3 tools, including get_safety_report, validate_data_safety, validate_data_safety_lite.

How do I install Ojaskord Data Compliance MCP server?

Point your MCP client at this streamable-http endpoint: https://data-compliance-mcp-production.up.railway.app

Is the Ojaskord Data Compliance MCP server safe to connect to an AI agent?

Glimind scanned all 3 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Ojaskord Data Compliance MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

Feedback
Help us improve