Is the Iabdullahm Rafid Agent Api MCP server down?

mcp-registry/io.github.iabdullahm/rafid-agent-api · v0.1.0

healthy
Last checked 2026-10-19 23:51 UTC · handshake 269ms

As of 2026-10-19 23:51 UTC, the Iabdullahm Rafid Agent Api MCP server is up with a Glimind reliability score of 71/100 (grade C). Over the last 30 days it answered 98.3% of Glimind's liveness checks. It had 10 outages in 90 days, with a median recovery of 44 minutes.

uptime (30d checks)
98.3%
checks observed
2,590
outages (90d)
10
tools
75

Oman property intelligence for AI agents: yield, comparables, Al Mouj sales data, x402 pay-per-call.

Install Iabdullahm Rafid Agent Api MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http iabdullahm-rafid-agent-api-mcp-server https://api.rafidsystem.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "iabdullahm-rafid-agent-api-mcp-server": {
      "type": "http",
      "url": "https://api.rafidsystem.com/mcp"
    }
  }
}

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

Agent-readiness: D (67/100)

D (67/100): 0 error(s), 8 warning(s) across 74 tool(s); ~35,386 tokens of tool definitions.
Scores higher than 2% of 15,380 MCP servers Glimind has audited.
Its tool list costs an agent ~35,386 tokens per session — more than 99% of servers.
67 → 67 since 2026-10-17
no tool-poisoning patterns
Schemas87
Descriptions30
Safety hints100
Token cost24
Client compatibility100
Protocol100
Reliability60
Stability72

What to fix (8)

2 tool definition(s) exceed ~1,200 tokens each (largest: invoice_anomaly_check, ~3,335).

Move long reference material out of descriptions (link a doc or expose a resource), drop repeated examples, and collapse large enums. Trimming these to ~600 tokens saves ~3,468 tokens every session. How to fix →

Tools: invoice_anomaly_check, vehicle_value_estimate · saves ~3,468 tokens/session

74 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.

Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter. How to fix →

390 parameter(s) across 69 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: ai_call_agent, analyze_company_risk, analyze_oman_company, analyze_oman_property, analyze_property and 64 more

4 tool(s) have parameters with no type (no type/enum/anyOf/$ref).

Give every parameter a "type" (or "enum"/"anyOf"). Untyped parameters make models guess — strings for numbers, objects for arrays. How to fix →

Tools: cv_improve, cv_job_match, cv_score, preview_capability

Loading this server's tool list costs an agent ~35,386 tokens before any work — more than 99% of MCP servers.

Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →

Reachable 98.3% of the time over the last 30 days; median recovery 44 min.

Agents fail over to an alternative the first time a call fails. Add health checks and restart-on-failure, and avoid cold starts on serverless hosts.

Handshake + tools/list takes ~1,709 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.

In the last 30 days: 2 tool(s) removed and 2 schema change(s).

Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts. How to fix →

Auto-fix: 4 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 69 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.iabdullahm%2Frafid-agent-api/fixes

cv_improve 1 change
{
  "name": "cv_improve",
  "description": "Produce evidence-grounded CV improvement recommendations, optional job-specific guidance and ATS actions without inventing candidate facts. When: Use when a candidate or recruitment agent needs actionable CV improvement guidance. Selection: specialized; prefer for Use when a candidate or recruitment agent needs actionable CV improvement guidance.. Input is a strict JSON object; see the schema. Price: $0.25 USD per call. No free preview is advertised for this capability. Full execution is paid pe",
  "inputSchema": {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "mode": {
        "enum": [
          "recommendations",
          "rewrite_summary",
          "rewrite_experience",
          "ats_optimization",
          "full_improvement_plan"
        ],
        "type": "string",
        "default": "recommendations"
      },
      "cv_text": {
        "type": "string",
        "maxLength": 200000
      },
      "candidate_profile": {
        "type": "string"
      },
      "target_job_description": {
        "anyOf": [
          {
            "type": "string",
            "maxLength": 100000
          },
          {
            "type": "null"
          }
        ]
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": true,
    "openWorldHint": false,
    "idempotentHint": true,
    "destructiveHint": false
  }
}
cv_job_match 1 change
{
  "name": "cv_job_match",
  "description": "Compare a candidate profile or CV with a job profile or description using normalized skills, experience evidence and transparent weighted scoring. When: Use when an agent needs evidence-based candidate-to-job matching for one candidate. Selection: supporting; prefer for Use when an agent needs evidence-based candidate-to-job matching for one candidate.. Input is a strict JSON object; see the schema. Price: $0.25 USD per call. No free preview is advertised for this capability. Full execution is p",
  "inputSchema": {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "cv_text": {
        "type": "string",
        "maxLength": 200000
      },
      "job_profile": {
        "type": "string"
      },
      "job_description": {
        "type": "string",
        "maxLength": 100000
      },
      "candidate_profile": {
        "type": "string"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": true,
    "openWorldHint": false,
    "idempotentHint": true,
    "destructiveHint": false
  }
}
cv_score 1 change
{
  "name": "cv_score",
  "description": "Score the completeness, clarity and ATS-readability of a CV on a transparent 0–100 scale; this is not job matching. When: Use when an agent needs general CV quality feedback independent of a specific job. Selection: primary; prefer for Use when an agent needs general CV quality feedback independent of a specific job.. Input is a strict JSON object; see the schema. Price: $0.20 USD per call. A free preview is available through preview_capability before payment. Full execution is paid per call via",
  "inputSchema": {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "cv_text": {
        "type": "string",
        "maxLength": 200000
      },
      "target_role": {
        "anyOf": [
          {
            "type": "string",
            "maxLength": 300
          },
          {
            "type": "null"
          }
        ]
      },
      "candidate_profile": {
        "type": "string"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": true,
    "openWorldHint": false,
    "idempotentHint": true,
    "destructiveHint": false
  }
}

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.iabdullahm/rafid-agent-api"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.iabdullahm/rafid-agent-api"}) 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.iabdullahm%2Frafid-agent-api.svg)](https://glimind.com/server/mcp-registry%2Fio.github.iabdullahm%2Frafid-agent-api?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.github.iabdullahm%2Frafid-agent-api?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.iabdullahm%2Frafid-agent-api.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.iabdullahm%2Frafid-agent-api.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.iabdullahm%2Frafid-agent-api?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 sha256:150807353f28e123…, first seen 2026-10-17, included at leaf 10733 of 29,524. Version history · verify what your client received.

Tools (75)

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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 Iabdullahm Rafid Agent Api MCP server down right now?

As of 2026-10-19 23:51 UTC, the Iabdullahm Rafid Agent Api MCP server is up with a Glimind reliability score of 71/100 (grade C). Over the last 30 days it answered 98.3% of Glimind's liveness checks. It had 10 outages in 90 days, with a median recovery of 44 minutes.

How many tools does Iabdullahm Rafid Agent Api MCP server provide?

Iabdullahm Rafid Agent Api MCP server advertises 75 tools, including ai_call_agent, analyze_company_risk, analyze_oman_company, analyze_oman_property, analyze_property.

How do I install Iabdullahm Rafid Agent Api MCP server?

Point your MCP client at this streamable-http endpoint: https://api.rafidsystem.com/mcp

Is the Iabdullahm Rafid Agent Api MCP server safe to connect to an AI agent?

Glimind scanned all 74 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 Iabdullahm Rafid Agent Api 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.

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