Rest Integration logo

Rest Integration

Organization
serac-labs
rest-integration

Make outbound REST calls from ServiceNow with sn_ws.RESTMessageV2 — basic/bearer/OAuth/API-key auth, error handling by status code, response parsing, sys_rest_message records, and retry with exponential backoff.

Overview

Publisherserac-labs
Repositoryserac
Skill namerest-integration
Stars
78
Forks
26
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by serac-labs on GitHub. Read the source before you install it.

Installation

Install the Rest Integration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/serac-labs/serac.git /tmp/serac
mkdir -p .claude/skills
cp -r /tmp/serac/packages/skills/rest-integration .claude/skills/rest-integration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rest Integration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rest Integration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rest Integration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

REST Integration Patterns for ServiceNow

ServiceNow provides RESTMessageV2 for outbound REST API calls and the REST API for inbound requests.

Outbound REST (Calling External APIs)

Basic GET Request

javascript
var request = new sn_ws.RESTMessageV2()
request.setEndpoint("https://api.example.com/users")
request.setHttpMethod("GET")
request.setRequestHeader("Accept", "application/json")

var response = request.execute()
var httpStatus = response.getStatusCode()
var body = response.getBody()

if (httpStatus == 200) {
  var data = JSON.parse(body)
  gs.info("Found " + data.length + " users")
}

POST Request with JSON Body

javascript
var request = new sn_ws.RESTMessageV2()
request.setEndpoint("https://api.example.com/incidents")
request.setHttpMethod("POST")
request.setRequestHeader("Content-Type", "application/json")
request.setRequestHeader("Accept", "application/json")

var payload = {
  title: "New Incident",
  description: "Created from ServiceNow",
  priority: "high",
}
request.setRequestBody(JSON.stringify(payload))

var response = request.execute()

Using REST Message Records

Create a REST Message record for reusable integrations:

javascript
// Using predefined REST Message from sys_rest_message
var request = new sn_ws.RESTMessageV2("External API", "Create User")

// Set variable substitutions defined in the REST Message
request.setStringParameter("user_name", userName)
request.setStringParameter("email", email)

var response = request.execute()

Authentication Methods

Basic Authentication

javascript
var request = new sn_ws.RESTMessageV2()
request.setEndpoint("https://api.example.com/data")
request.setHttpMethod("GET")
request.setBasicAuth("username", "password")

Bearer Token

javascript
var request = new sn_ws.RESTMessageV2()
request.setEndpoint("https://api.example.com/data")
request.setHttpMethod("GET")
request.setRequestHeader("Authorization", "Bearer " + token)

OAuth 2.0 (Using OAuth Profile)

javascript
var request = new sn_ws.RESTMessageV2()
request.setEndpoint("https://api.example.com/data")
request.setHttpMethod("GET")
request.setAuthenticationProfile("oauth2", "My OAuth Profile")

API Key

javascript
var request = new sn_ws.RESTMessageV2()
request.setEndpoint("https://api.example.com/data")
request.setHttpMethod("GET")
request.setRequestHeader("X-API-Key", apiKey)
// Or as query parameter
request.setQueryParameter("api_key", apiKey)

Error Handling

javascript
try {
  var request = new sn_ws.RESTMessageV2()
  request.setEndpoint("https://api.example.com/data")
  request.setHttpMethod("GET")
  request.setHttpTimeout(10000) // 10 second timeout

  var response = request.execute()
  var httpStatus = response.getStatusCode()

  if (httpStatus == 200) {
    var body = response.getBody()
    var data = JSON.parse(body)
    // Process successful response
  } else if (httpStatus == 401) {
    gs.error("Authentication failed")
  } else if (httpStatus == 404) {
    gs.error("Resource not found")
  } else if (httpStatus >= 500) {
    gs.error("Server error: " + httpStatus)
  } else {
    gs.error("Unexpected status: " + httpStatus)
  }
} catch (ex) {
  gs.error("REST Exception: " + ex.message)
}

Response Handling

Parse JSON Response

javascript
var body = response.getBody()
var data = JSON.parse(body)

// Access nested data
var userName = data.user.name
var items = data.items || []

Handle Arrays

javascript
var body = response.getBody()
var users = JSON.parse(body)

for (var i = 0; i < users.length; i++) {
  var user = users[i]
  gs.info("User: " + user.name + " (" + user.email + ")")
}

Response Headers

javascript
var contentType = response.getHeader("Content-Type")
var rateLimitRemaining = response.getHeader("X-RateLimit-Remaining")

MCP Tools for REST

javascript
// Create REST Message record
snow_create_rest_message({
  name: "External API",
  endpoint: "https://api.example.com",
  authentication: "basic", // or "oauth2", "api_key"
  methods: [
    {
      name: "Get Users",
      http_method: "GET",
      endpoint: "/users",
    },
    {
      name: "Create User",
      http_method: "POST",
      endpoint: "/users",
      content_type: "application/json",
    },
  ],
})

// Test REST connection
snow_test_rest_connection({
  endpoint: "https://api.example.com/health",
})

Best Practices

  1. Use REST Message records - Centralized configuration, easier maintenance
  2. Set timeouts - Prevent hanging scripts with setHttpTimeout()
  3. Handle all status codes - Not just 200
  4. Log failures - Use gs.error() for debugging
  5. Use Async for slow APIs - Don't block business rules
  6. Store credentials securely - Use Connection & Credential Aliases
  7. Implement retry logic - For transient failures
  8. Rate limit awareness - Check response headers, implement backoff

Retry Pattern

javascript
function callApiWithRetry(endpoint, maxRetries) {
  var retries = 0
  var delay = 1000 // Start with 1 second

  while (retries < maxRetries) {
    try {
      var request = new sn_ws.RESTMessageV2()
      request.setEndpoint(endpoint)
      request.setHttpMethod("GET")

      var response = request.execute()

      if (response.getStatusCode() == 200) {
        return JSON.parse(response.getBody())
      }

      if (response.getStatusCode() >= 500) {
        // Server error - retry
        retries++
        gs.sleep(delay)
        delay = delay * 2 // Exponential backoff
        continue
      }

      // Client error - don't retry
      throw new Error("Client error: " + response.getStatusCode())
    } catch (ex) {
      retries++
      if (retries >= maxRetries) {
        throw ex
      }
      gs.sleep(delay)
      delay = delay * 2
    }
  }
}

Frequently asked questions

What does the Rest Integration AI skill do?

Make outbound REST calls from ServiceNow with sn_ws.RESTMessageV2 — basic/bearer/OAuth/API-key auth, error handling by status code, response parsing, sys_rest_message records, and retry with exponential backoff.

Why use Rest Integration on TypingMind?

Because you install it once and use it with any model. Rest Integration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rest Integration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/serac-labs/serac/tree/main/packages/skills/rest-integration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rest Integration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rest Integration?

As many as you like. As long as a model supports skills, you can use Rest Integration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rest Integration AI skill free?

Yes. It is published on GitHub by serac-labs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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