SRV Record Parsing for AI Agents

Overview

Includes recognition of common services like HTTP, XMPP, SIP, and email protocols with detailed explanations of priority and weight values.

Live Test SRV Record Parsing for AI Agents Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as SRVRecordParsingforAIAgents. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "SRVRecordParsingforAIAgents",
  "arguments": {
    "record": "_http._tcp.example.com. 3600 IN SRV 10 60 80 server.example.com."
  }
}

You do not name the tool yourself; the model picks it. Asking about _http._tcp.example.com. 3600 IN SRV 10 60 80 server.example.com. in the terms this source covers is enough for it to reach for SRVRecordParsingforAIAgents on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

https://api.vervecontext.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "raw_record": "_http._tcp.example.com. 86400 IN SRV 10 60 80 server.example.com.",
    "parsed": {
      "name": "_http._tcp.example.com.",
      "service": "_http",
      "protocol": "tcp",
      "domain": "example.com.",
      "ttl": 86400,
      "class": "IN",
      "priority": 10,
      "weight": 60,
      "port": 80,
      "target": "server.example.com"
    },
    "service_info": {
      "name": "HTTP",
      "description": "Web service",
      "default_port": 80
    },
    "interpretation": {
      "priority_explanation": "Priority level 10 (lower is better)",
      "weight_explanation": "Weight 60 for load balancing",
      "target_explanation": "Connect to server.example.com:80"
    },
    "is_valid": true
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at raw_record: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Service Discovery

Parse DNS SRV records for service discovery in distributed systems, microservices, and load-balanced environments

Network Diagnostics

Build network diagnostic tools that analyze SRV records for troubleshooting connectivity and service availability issues

Configuration Analysis

Analyze service configuration in DNS including priority, weight, port, and target information for optimization

Record Validation

Validate SRV record formatting and structure to ensure compliance with RFC 2782 standards and best practices

Other ways to use SRV Record Parsing for AI Agents

Set up SRV Record Parsing for AI Agents on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

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