Platform Salesforce Connect Adapter Generate logo

Platform Salesforce Connect Adapter Generate

OrganizationPopular
forcedotcom
platform-salesforce-connect-adapter-generate

Custom Apex adapter generation for Salesforce Connect — connects any external REST API to Salesforce as live, queryable External Objects without ETL or copying. TRIGGER when: connecting a non-standard external API, writing a DataSource.Provider/Connection or a `.cls`/`.cls-meta.xml` custom adapter class, adding a `.namedCredential-meta.xml` for the adapter's callout, surfacing external data as records, "custom adapter", "ExternalId field", "DataSource namespace", or whether custom Apex fits. DO NOT TRIGGER when: a standard adapter is already configured (OData, Snowflake), for copy/bulk-sync (use platform-data-manage), or for Apex callouts outside Connect (use platform-apex-generate or integration-connectivity-generate).

Overview

Publisherforcedotcom
Repositorysf-skills
Skill nameplatform-salesforce-connect-adapter-generate
Stars
1.1K
Forks
351
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by forcedotcom on GitHub. Read the source before you install it.

Installation

Install the Platform Salesforce Connect Adapter Generate 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.
    https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/integration/skills/platform-salesforce-connect-adapter-generate
  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/forcedotcom/sf-skills.git /tmp/sf-skills
mkdir -p .claude/skills
cp -r /tmp/sf-skills/plugins/builder/integration/skills/platform-salesforce-connect-adapter-generate .claude/skills/platform-salesforce-connect-adapter-generate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Platform Salesforce Connect Adapter Generate 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 Platform Salesforce Connect Adapter Generate 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 Platform Salesforce Connect Adapter Generate 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.

Salesforce Connect — Custom Apex Adapter

Route the user through building a complete custom Salesforce Connect Apex adapter: two Apex classes, metadata deployment, and registration. Do not guess at the user's API shape — ask before generating.

Scope

In scope: Generating DataSource.Connection and DataSource.Provider Apex classes, Named Credential metadata, deployment via sf CLI, and step-by-step Setup registration guidance for any REST API.

Out of scope: Configuring standard adapters (OData, Snowflake, GraphQL — those have their own flows). Generating the External Data Source metadata file (not deployable via sf CLI — must be registered manually in Setup). Writing Apex that calls external APIs outside the Salesforce Connect framework (use the platform-apex-generate or integration-connectivity-generate skills).

Before starting

Confirm two things. If either is missing, ask before proceeding.

1. Is this actually a Salesforce Connect use case?

The user wants to…Right tool
Query external data live without copying it — read-only or read-write, appears as Salesforce recordsThis skill
Copy or sync data into Salesforce on a schedulethe platform-data-manage skill
Connect to OData, GraphQL, DynamoDB, Athena, or Cross-OrgStandard adapter setup — no Apex needed, different flow
Connect to Snowflake via Salesforce's native Snowflake adapter (direct Snowflake protocol)Built-in Snowflake adapter — no Apex needed
Access Snowflake (or any database) data via a REST or HTTP APIThis skill — Snowflake REST endpoint → custom Apex adapter
Call an external API from Apex or Flow logicthe platform-apex-generate skill or integration-connectivity-generate
Expose Salesforce data to an external systemintegration-connectivity-generate
Receive real-time pushed data or subscribe to external eventsNot Salesforce Connect — Connect is pull-only. Use Platform Events or Change Data Capture instead
Sync or copy data for analytics or bulk processingData Cloud or ETL — Connect is zero-copy virtualization only

If the user has a standard adapter available, tell them — writing a custom adapter when a standard one fits is unnecessary work.

2. Do they have a Salesforce Connect license?

A custom adapter requires a Salesforce Connect license (one license per External Data Source). Without it, the External Data Source menu won't show the Apex option. If the user doesn't have one, tell them before going further.


Default org context (when running locally)

If the user does not specify an org alias, use demo-org. If the user does not specify an SFDX project path, use ~/salesforce-connect-apex-skill/sfconnect-demo/. These are the defaults for local testing — always override if the user specifies their own.


Collect inputs before generating

Never generate code without these. If any are missing, ask:

InputWhy it matters
API name and what it doesNames the classes and sets context for field mapping
Base URLBecomes the Named Credential endpoint
Auth typeDetermines Named Credential setup and getAuthenticationMode()
Key GET endpoint(s) + sample responseDefines the External Object schema — field names, types, nesting
Write support needed?Determines whether to implement upsertRows() and deleteRows()
Org type (DE, scratch, sandbox)Sets apiVersion in .cls-meta.xml

If the user provides an OpenAPI spec, extract:

  • All GET endpoints returning arrays → each becomes a DataSource.Table
  • Response object properties → DataSource.Column entries
  • id / uuid / primary key → map to ExternalId
  • Property types → use the field type mapping table below

What to build

Every custom Salesforce Connect adapter is exactly two Apex classes.

DataSource.Connection

Handles communication with the external API. Exact signatures:

apex
override global DataSource.TableResult query(DataSource.QueryContext context)
override global List<DataSource.TableResult> search(DataSource.SearchContext context)

// Write support — only if API supports it:
global override List<DataSource.UpsertResult> upsertRows(DataSource.UpsertContext context)
global override List<DataSource.DeleteResult> deleteRows(DataSource.DeleteContext context)

Key distinction: query() always operates on one table (QueryContext has a single TableSelection). search() can operate on multiple tables simultaneously (SearchContext has multiple TableSelection instances) — handle each in a loop and return a result per table.

DataSource.Provider

Declares the adapter's capabilities and schema to Salesforce. Required methods:

  • getAuthenticationMode() — return ANONYMOUS for public APIs; NAMED_PRINCIPAL or PER_USER for authenticated APIs
  • getCapabilities() — declare QUERY, SEARCH; add ROW_CREATE, ROW_UPDATE, ROW_DELETE only if implementing writes
  • getConnection(ConnectionParams params) — return new YourConnection(params)
  • sync() — called when the user clicks "Validate and Sync" in Setup; returns List<DataSource.Table> defining the External Object schema and columns

The Provider class appears in Salesforce Setup as Custom-[ClassName] under the External Data Source type dropdown.

Critical: whenever you edit the Connection class, you must resave the Provider class too — even with no changes. Otherwise the adapter disappears from the Type picklist and existing External Object tabs break.


Field type mapping

External API typeUse this
string / textDataSource.DataType.TEXT_TYPE
number / integer / decimalDataSource.DataType.NUMBER_TYPE
booleanDataSource.DataType.BOOLEAN_TYPE
date (ISO 8601)DataSource.DataType.DATE_TYPE
datetime / timestampDataSource.DataType.DATETIME_TYPE
URLDataSource.DataType.URL_TYPE
emailDataSource.DataType.EMAIL_TYPE
phoneDataSource.DataType.PHONE_TYPE
enum / picklistTEXT_TYPE — map enum values as strings
nested object / JSON blobFlatten to scalar fields, or TEXT_TYPE and parse in query()
arrayDerive a count field (NUMBER_TYPE), or flatten first-element fields
string > 255 charsLong text area — do not truncate; Salesforce maps it automatically

Every DataSource.Table must include these columns:

apex
DataSource.Column.text('ExternalId', 255)  // unique key from external system — REQUIRED
DataSource.Column.text('Name', 255)        // display label shown in Salesforce UI — REQUIRED
DataSource.Column.url('DisplayUrl')        // link to the record in the external system — recommended

Missing ExternalId is the most common reason an adapter deploys but records don't appear. DisplayUrl enables the clickable link icon in list views — populate it with the external record's URL.


Scenarios

Four scenarios: (1) public read-only, (2) authenticated API key/OAuth, (3) read-write with upsert/delete, (4) paginated API. Full code patterns for each are in references/scenarios.md.

Key differences by scenario:

ScenarioAuth modeExtra capabilitiesNamed Credential
Public read-onlyANONYMOUSQUERY, SEARCHDeploy as metadata
AuthenticatedNAMED_PRINCIPAL or PER_USERQUERY, SEARCHCreate manually in Setup — never deploy credentials as metadata
Read-writeANONYMOUS or authAdd ROW_CREATE, ROW_UPDATE, ROW_DELETEPer above
PaginatedAnyAnyUse context.tableSelection.numberOfRows (default 500 if null); no automatic queryMore

How to verify the adapter is working

Option 1 — SOQL via sf CLI (fastest, no UI needed)

bash
sf data query \
  --query "SELECT ExternalId, Name__c FROM [YourObject]__x LIMIT 5" \
  --target-org [org-alias]

If rows come back, the adapter is working. If 0 rows, check the troubleshooting steps below.

Option 2 — Visualforce page (best for demos, works on any org)

Deploy a Visualforce page + Apex controller that queries [Object]__x and renders rows in an apex:pageBlockTable. Open at [orgUrl]/apex/[PageName]. More reliable than list views for testing — bypasses tab requirements, deployment status, and filter issues. See references/scenarios.md for the standard template.

Option 3 — List view (standard UI, but requires extra steps)

For the list view to show records, all four of these must be true:

  1. External Object Deployment Status = Deployed (Object Manager → Edit)
  2. A tab exists for the External Object (Setup → Tabs → Custom Object Tabs → New)
  3. List view filter is set to All (not "Recently Viewed")
  4. Remote Site Setting exists for the external API URL

Troubleshooting: 0 records with no error

SymptomCauseFix
SOQL returns 0Remote Site Setting missingSetup → Remote Site Settings → New
SOQL returns 0Named Credential not foundSetup → Named Credentials → confirm callout: name matches exactly
SOQL returns 0Org proxy blocks external URLsUse loopback pattern or switch to an external DE org
List view shows 0Deployment Status = In DevelopmentObject Manager → [Object]__x → Edit → Deployed
List view shows 0Filter is "Recently Viewed"Change filter to "All"
App Launcher shows nothingNo tab createdSetup → Tabs → Custom Object Tabs → New

What the agent deploys vs. what the developer does manually

Agent deploys (one sf project deploy start command)

FileNotes
classes/[API]DataSourceConnection.cls + metaAlways
classes/[API]DataSourceProvider.cls + metaAlways
namedCredentials/[API].namedCredential-meta.xmlPublic APIs only — skip for any API requiring credentials

Do NOT generate externalDataSources/[API].externalDataSource-meta.xml. The External Data Source must be registered manually in Setup after deploying the Apex classes. The sf project deploy start command cannot deploy custom Apex External Data Sources — the sf CLI will error with "Could not infer a metadata type." Tell the user to go to Setup → External Data Sources → New after deployment.

Correct NamedCredential XML format (no <name> element — the API name comes from the filename):

xml
<?xml version="1.0" encoding="UTF-8"?>
<NamedCredential xmlns="http://soap.sforce.com/2006/04/metadata">
    <label>My API</label>
    <endpoint>https://api.example.com</endpoint>
    <allowMergeFieldsInBody>false</allowMergeFieldsInBody>
    <allowMergeFieldsInHeader>false</allowMergeFieldsInHeader>
    <generateAuthorizationHeader>false</generateAuthorizationHeader>
    <principalType>Anonymous</principalType>
    <protocol>NoAuthentication</protocol>
</NamedCredential>

Deploy command:

bash
sf project deploy start \
  --source-dir force-app/main/default/ \
  --target-org [org-alias]

Developer does manually (always — no metadata equivalent exists)

Validate and Sync triggers a live call to the external API to discover its schema and create External Object definitions. This cannot be scripted.

text
Setup → External Data Sources → [your data source] → Validate and Sync
Check the box next to each External Object → Sync
App Launcher → search [External Object name] → confirm records appear

Always end with: "Deployment complete. One step left: open the External Data Source in Salesforce Setup and click Validate and Sync."


Error handling rules

Never let an exception propagate uncaught out of query() — Salesforce shows a generic error to the user with no context.

SituationHandle it by
HTTP 401throw new DataSource.OAuthTokenExpiredException()
HTTP 429 / rate limitReturn empty rows; log via System.debug()
HTTP 500 or network errorReturn empty rows; do not rethrow
Null field in responserecord.get('field') != null ? (String) record.get('field') : ''
Nested JSON that won't flattenReturn raw JSON string as a TEXT_TYPE field rather than failing the whole query

Governor limits

  • Max 100 HTTP callouts per transaction — each query() call is one transaction
  • Heap limit 6 MB (synchronous) — don't deserialize massive payloads; use server-side pagination
  • CPU limit 10 seconds — avoid nested loops over large response arrays

Setup prerequisites — in this exact order

1. Deploy Apex classes first

The Salesforce Connect: Custom (Developed with Apex) type only appears in the External Data Source type dropdown after at least one DataSource.Provider subclass is deployed in the org.

This is not a permissions issue. It is a dependency — Salesforce discovers available Provider classes at runtime. No deployed Provider = no option in the dropdown.

Correct sequence — always:

  1. Deploy Apex classes first (sf project deploy start)
  2. Then go to Setup → External Data Sources → New → the Custom Apex type will appear

If the user says "I don't see the Custom Apex option in the dropdown", the answer is: deploy the classes first, then come back to Setup.

2. Add Remote Site Setting before testing

The external API's base URL must be whitelisted or callouts fail silently — query() returns empty rows with no exception, no error message. Deploy as metadata or add at Setup → Remote Site Settings → New.

3. After Validate and Sync — set Deployment Status to Deployed

After Validate and Sync, Salesforce creates the External Object with status "In Development". Records return 0 results in list views and SOQL until this is changed. No error is shown — another silent failure.

text
Setup → Object Manager → [YourObject]__x → Edit
  Deployment Status → Deployed → Save

Always tell the user this step after Validate and Sync completes.

4. Create a tab to surface the External Object in App Launcher

External Objects are invisible in the UI without a tab. Create one at:

text
Setup → Tabs → Custom Object Tabs → New → select [YourObject]__x → Save

Also required

  • Salesforce Connect license — without it, all Connect adapter types including OData are hidden. If the user sees OData and Cross-Org in the dropdown, the license is already active.

Anti-patterns

Don'tWhyDo
Generate code without knowing the API shapeWrong field types, wrong ExternalId mapping, broken adapterAsk for API name, base URL, auth type, sample response first
Deploy ExternalDataSource as metadataNot a deployable metadata type — sf CLI will errorRegister the External Data Source manually in Setup after deploying the Apex classes
Use upsertRow() or deleteRow() (singular)These methods don't exist — compile errorUse upsertRows() and deleteRows() (plural)
Put sync() only on ProviderOn some API versions sync() must be on Connection — compiler will tell youImplement sync() on Connection; remove from Provider if it errors
Hardcode the API URL in ApexCredentials exposed in source, callout blockedAlways use callout:NamedCredentialName
Return a single DataSource.TableResult from search()search() returns List<DataSource.TableResult> — compile errorLoop over context.tableSelections and return one result per table
Skip COUNT handling in query()List views fire COUNT queries; without detection they return wrong resultsCheck columnsSelected[0].aggregation == DataSource.QueryAggregation.COUNT
Leave External Object in "In Development"Records return 0 with no error — invisible to the userAfter Validate and Sync: Object Manager → [Object]__x → Edit → Deployed
Skip the Remote Site SettingCallout fires silently, returns empty rows, no exceptionDeploy remoteSiteSettings/[API].remoteSite-meta.xml or add manually in Setup

Before shipping

Confirm: inputs collected (API name, URL, auth, sample response, write support) → code has sync() + query() + search() on Connection, getCapabilities() + getConnection() on Provider, ExternalId and nameColumn on every table, COUNT handling in query(), mock data for tests, callout: prefix on all endpoints → both .cls-meta.xml files generated → deploy command given → post-deploy steps communicated (Named Credential setup, Remote Site Setting, External Data Source registered, Validate and Sync, Deployment Status → Deployed, tab created).


Reference examples

See references/official-examples.md for annotated study of the official Salesforce Connect adapter examples — GitHub Issues (full DML, picklist, cross-table relationships), Google Drive (OAuth + test mock), Google Books (pagination), StackOverflow (multiple tables), and Loopback (filter translation). Read before generating for a new user.


Project setup — if the developer has no SFDX project yet

Before deploying, they need a project structure. If one doesn't exist, generate it first:

bash
sf project generate --name my-adapter --output-dir .
cd my-adapter

This creates force-app/main/default/classes/ and the required sfdx-project.json. All generated files go into this structure. The developer does not need VS Code, Agentforce Vibes, or any Salesforce IDE — just sf CLI installed and an org authenticated via sf org login web --alias my-org.

This skill works with any coding agent that can read a context file — Claude Code, Cursor, Windsurf, GitHub Copilot, or any agent with the SKILL.md loaded. No Salesforce MCP server, no Agentforce Vibes, no internal Salesforce tooling required.


Output format

Generate files in this order, then give the deploy command:

  1. force-app/main/default/classes/[API]DataSourceConnection.cls
  2. force-app/main/default/classes/[API]DataSourceProvider.cls
  3. force-app/main/default/classes/[API]DataSourceConnection.cls-meta.xml
  4. force-app/main/default/classes/[API]DataSourceProvider.cls-meta.xml
  5. force-app/main/default/namedCredentials/[API].namedCredential-meta.xml — public APIs only

One-line comment at top of each Apex class: // Salesforce Connect custom adapter for [API name] No other inline comments unless a logic choice is non-obvious.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Platform Salesforce Connect Adapter Generate AI skill do?

Custom Apex adapter generation for Salesforce Connect — connects any external REST API to Salesforce as live, queryable External Objects without ETL or copying. TRIGGER when: connecting a non-standard external API, writing a DataSource.Provider/Connection or a `.cls`/`.cls-meta.xml` custom adapter class, adding a `.namedCredential-meta.xml` for the adapter's callout, surfacing external data as records, "custom adapter", "ExternalId field", "DataSource namespace", or whether custom Apex fits. DO NOT TRIGGER when: a standard adapter is already configured (OData, Snowflake), for copy/bulk-sync...

Why use Platform Salesforce Connect Adapter Generate on TypingMind?

Because you install it once and use it with any model. Platform Salesforce Connect Adapter Generate 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 Platform Salesforce Connect Adapter Generate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/integration/skills/platform-salesforce-connect-adapter-generate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Platform Salesforce Connect Adapter Generate?

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 Platform Salesforce Connect Adapter Generate?

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

Is the Platform Salesforce Connect Adapter Generate AI skill free?

Yes. It is published on GitHub by forcedotcom 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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