---
title: "Connect Simpplr to ChatGPT: Manage Content, Feeds, and Employee Hubs"
slug: connect-simpplr-to-chatgpt-manage-content-feeds-and-employee-hubs
date: 2026-10-22
author: Nachi Raman
categories: ["AI & Agents"]
excerpt: "Learn how to connect Simpplr to chatgpt using Truto. Step-by-step guide to tool calling, API quirks, and autonomous workflows."
canonical: https://truto.one/blog/connect-simpplr-to-chatgpt-manage-content-feeds-and-employee-hubs/
---

# Connect Simpplr to ChatGPT: Manage Content, Feeds, and Employee Hubs


If you want to connect Simpplr to ChatGPT so your AI agents can manage intranet content, automate employee feeds, and coordinate site memberships, you need a [Model Context Protocol (MCP) server](https://truto.one/what-is-model-context-protocol/). If your team uses Claude, check out our guide on [connecting Simpplr to Claude](https://truto.one/connect-simpplr-to-claude-automate-updates-tasks-and-communication/) or explore our broader architectural overview on [connecting Simpplr to AI Agents](https://truto.one/connect-simpplr-to-ai-agents-sync-identity-search-and-analytics/).

Giving a Large Language Model (LLM) read and write access to an enterprise employee experience platform is an engineering hurdle. You either spend weeks building, hosting, and maintaining a custom MCP server to translate LLM JSON arguments into Simpplr's highly specific payload structures, or you use a [managed infrastructure layer](https://truto.one/architecture-of-ai-agent-integrations/).

This guide breaks down exactly how to use Truto to generate a secure, authenticated MCP server for Simpplr, connect it natively to ChatGPT, and execute complex employee hub workflows using natural language.

> Stop writing boilerplate API integration code. Let Truto generate secure, managed MCP servers for your AI agents in seconds.
>
> [Talk to us](https://truto.one/book-a-demo/)

## The Engineering Reality of the Simpplr API

A custom MCP server is a self-hosted integration layer. While the [open MCP standard](https://truto.one/what-is-model-context-protocol/) provides a predictable way for models to discover tools, implementing it against Simpplr's API presents several highly specific challenges that break standard CRUD assumptions.

### Dual API Surfaces: B2B vs. User Context
Simpplr exposes two distinct API surfaces: the B2B API (system-level) and the User API (contextual). When building a custom MCP server, you must explicitly route requests based on the acting persona. B2B endpoints require `createdBy` or `modifiedBy` UUIDs in the payload to attribute actions to a specific admin, while User endpoints infer context from the token. If you pass the wrong payload structure to the wrong endpoint type, the API rejects the request. Truto maps these dual surfaces into explicit, distinctly named tools so the LLM understands exactly which context it is invoking.

### Strict HTML Payload Requirements
Unlike SaaS APIs that accept raw text or Markdown, Simpplr heavily enforces HTML formatting for feed posts, comments, and site pages. Fields like `bodyHtml` and `textHtml` expect properly sanitized HTML strings. If an LLM attempts to pass standard Markdown or unescaped line breaks, the content will either fail validation or render as a broken string in the employee feed. Your integration layer must guide the LLM to output valid HTML structures.

### Polymorphic Feed Architecture
Simpplr's feed architecture relies heavily on polymorphic data types. A single feed endpoint (`list_all_simpplr_rfeed_feeds`) returns standard posts, questions, albums, and events, all requiring different contextual data parsing. When creating a feed via `create_a_simpplr_wfeed_feed`, the required parameters shift entirely based on the `scope` and `type` provided (e.g., site scopes require a `siteId`, questions require a `title`). Hand-coding JSON schemas to handle this polymorphism for an LLM is tedious and prone to hallucinations.

### A Factual Note on Rate Limits
When hitting these endpoints aggressively via agent loops, you will encounter 429 Too Many Requests. Truto does not retry, throttle, or apply backoff on rate limit errors. When an upstream API returns HTTP 429, Truto passes that error to the caller. Truto normalizes upstream rate limit info into standardized headers (`ratelimit-limit`, `ratelimit-remaining`, `ratelimit-reset`) per the IETF spec (see [rate limits documentation](https://truto.one/docs/api-reference/overview/rate-limits)). The caller is responsible for retry/backoff. Do not rely on the integration layer to automatically absorb rate limit errors.

## Simpplr to ChatGPT Quickstart Guide

If you want the fastest path from a fresh Truto account to ChatGPT calling the Simpplr API, follow these steps.

**What you need:**
- A Truto account with API access.
- Simpplr admin credentials to execute the [OAuth flow](https://truto.one/manage-oauth-refresh-tokens-for-ai-agents/).
- A ChatGPT Pro, Plus, Business, Enterprise, or Education seat with Developer mode available.

### Step 1: Connect Simpplr as an Integrated Account

In the Truto dashboard, open **Integrated Accounts -> New Integrated Account**, select Simpplr, and run the OAuth flow. Truto securely stores the refresh token and automatically refreshes access tokens shortly before they expire. ChatGPT never sees an expired credential.

Grab your `integrated_account_id`. You can copy it from the account detail page in the UI or list it via the API:

```bash
curl https://api.truto.one/integrated-account \
  -H "Authorization: Bearer $TRUTO_API_TOKEN"
```

### Step 2: Generate a Simpplr MCP Server

You can generate the MCP server URL dynamically via the Truto dashboard or programmatically via the API.

**Method A: Via the Truto UI**
1. Navigate to the integrated account page for your Simpplr connection.
2. Click the **MCP Servers** tab.
3. Click **Create MCP Server**.
4. Select your desired configuration (e.g., filter by specific methods or tags).
5. Copy the generated MCP server URL.

**Method B: Via the API**
Make a single POST call to scope an MCP endpoint to that specific account. You can filter by `methods` and `tags` to strictly constrain what ChatGPT can access.

```bash
curl -X POST https://api.truto.one/integrated-account/$INTEGRATED_ACCOUNT_ID/mcp \
  -H "Authorization: Bearer $TRUTO_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Simpplr for ChatGPT",
    "config": {
      "methods": ["read", "write"],
      "tags": ["feeds", "sites", "identity"]
    }
  }'
```

The response contains a `url` field structured as `https://api.truto.one/mcp/<token>`. This single URL handles routing and authentication - treat it like a secret.

### Step 3: Connect the MCP Server to ChatGPT

Once you have the URL, you need to register it with your ChatGPT environment.

**Method A: Via the ChatGPT UI**
1. Open ChatGPT and navigate to **Settings -> Apps -> Advanced settings**.
2. Enable **Developer mode**.
3. Under **MCP servers / Custom connectors**, click to add a new server.
4. Enter a name (e.g., "Simpplr (Truto)").
5. Paste the Truto MCP URL into the **Server URL** field and click **Save**.

ChatGPT will immediately connect, perform the MCP initialization handshake, and list the available Simpplr tools.

**Method B: Via Manual Config File (Local Agents/Proxies)**
If you are running a local proxy or custom agent framework that consumes standard MCP config files, use the `@modelcontextprotocol/server-sse` transport wrapper:

```json
{
  "mcpServers": {
    "simpplr": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "https://api.truto.one/mcp/YOUR_SECURE_TOKEN_HERE"
      ]
    }
  }
}
```

## Hero Tools for Simpplr Automation

Truto dynamically generates MCP tools based on Simpplr's underlying API schemas. The tools include descriptions and typed arguments that guide the LLM exactly how to construct the JSON-RPC payload. Here are six high-leverage tools available for Simpplr automation.

### list_all_simpplr_rfeed_feeds
Retrieves a paginated list of Simpplr feeds visible to the user. This is your primary discovery tool for reading the pulse of the organization. It returns full feed objects including author details, content types, and engagement counts.

*Usage note:* Pass `size` to limit results. The LLM will automatically extract `nextPageToken` if it needs to paginate through historical posts.

> "Fetch the latest 10 posts from the company feed and summarize the main topics being discussed today."

### create_a_simpplr_wfeed_feed
Creates a new feed post or question via the B2B API. This requires an HTML body, a scope (e.g., global vs. site-specific), and the UUID of the user acting as the creator.

*Usage note:* You must ensure the LLM structures the `textHtml` parameter as valid HTML. If targeting a specific site, `siteId` becomes mandatory.

> "Draft a new company-wide announcement about the upcoming Q3 Town Hall on Friday. Format it nicely with bold headers and create it in Simpplr as an official feed post."

### create_a_simpplr_site_page
Publishes a permanent content page inside a specific Simpplr site. This is used for policies, documentation, and evergreen resources rather than ephemeral feed posts.

*Usage note:* Requires `site_id`, `contentSubType`, and `publishingStatus`. Set status to 'published' to immediately make it live, or 'draft' for human review.

> "Create a new page in the HR site for the updated Remote Work Policy. Save it as a draft so the HR director can review it before publishing."

### simpplr_feed_comments_create_user
Adds a comment to an existing feed post using the User API context. This is highly effective for building agents that auto-respond to employee questions or acknowledge important updates.

*Usage note:* Requires `feed_id` and `textHtml`. The comment will appear as if authored by the user context mapped to the integration.

> "Find the CEO's recent post about the product launch and add a comment congratulating the engineering team for their hard work."

### list_all_simpplr_people_lists
Searches and lists employee directory profiles. This tool acts as the [identity resolution layer](https://truto.one/connect-simpplr-to-ai-agents-sync-identity-search-and-analytics/), allowing the LLM to map names to UUIDs required by other endpoints.

*Usage note:* Supports filtering by department, division, or title. Pass custom fields if your tenant utilizes extended profile attributes.

> "Look up the employee profile for Sarah Jenkins in the Engineering department and retrieve her UUID and manager's name."

### create_a_simpplr_site_event
Creates a scheduled event within a Simpplr site calendar. It automatically handles timezones and RSVP configurations.

*Usage note:* Requires `startsAt`, `endsAt`, `timezoneIso`, and `publishingStatus`. If `publishingStatus` is set to 'schedule', you must also provide `publishAt`.

> "Schedule an all-hands meeting in the Engineering site for next Tuesday at 10 AM PST. Set the event to publish immediately."

To see the full inventory of tools, schemas, and required parameters, visit the [Simpplr integration page](https://truto.one/integrations/detail/simpplr).

## Workflows in Action

Connecting ChatGPT to Simpplr unlocks compound, multi-step workflows. Instead of clicking through five different screens, an admin can orchestrate complex operations via a single natural language prompt. Here is how standard workflows execute under the hood.

### Workflow 1: Employee Onboarding Announcement

When a new employee joins, HR admins often need to create a welcome post, find the correct team site, and tag relevant stakeholders.

> "Find the UUID for our new hire, Alex Chen. Then create an announcement post in the Engineering team site welcoming him to the company, and add a comment tagging his manager, Sarah Lee."

**Execution Steps:**
1. `list_all_simpplr_people_lists` - The agent searches the directory for "Alex Chen" and "Sarah Lee" to extract their Simpplr UUIDs.
2. `list_all_simpplr_content_sites` - The agent queries the sites list to find the exact `siteId` for "Engineering".
3. `create_a_simpplr_wfeed_feed` - The agent constructs the HTML payload and fires the tool to create the welcome post in the Engineering site.
4. `simpplr_feed_comments_create_user` - Using the newly generated `feedId`, the agent posts a comment explicitly tagging the manager's UUID.

```mermaid
sequenceDiagram
    participant User as User
    participant ChatGPT as ChatGPT
    participant Truto as Truto MCP
    participant Simpplr as Simpplr API

    User->>ChatGPT: "Find Alex Chen, create welcome post..."
    ChatGPT->>Truto: call list_all_simpplr_people_lists
    Truto->>Simpplr: GET /people (query: Alex Chen)
    Simpplr-->>Truto: Return UUID
    Truto-->>ChatGPT: UUID payload
    ChatGPT->>Truto: call create_a_simpplr_wfeed_feed
    Truto->>Simpplr: POST /feed (HTML body + siteId)
    Simpplr-->>Truto: feedId
    Truto-->>ChatGPT: Success response
    ChatGPT->>Truto: call simpplr_feed_comments_create_user
    Truto->>Simpplr: POST /comments (feedId + manager tag)
    Simpplr-->>Truto: commentId
    Truto-->>ChatGPT: Workflow complete
    ChatGPT-->>User: "Welcome post created and manager tagged."
```

### Workflow 2: Automated Policy Publishing

IT and Compliance teams frequently roll out new policies that require a formal documentation page and a corresponding feed announcement to drive awareness.

> "Take this attached markdown document for the new IT Security Policy, format it into HTML, publish it as a new page in the IT Support site, and then create a global feed post linking to the new page."

**Execution Steps:**
1. `list_all_simpplr_content_sites` - The agent finds the `siteId` for the "IT Support" hub.
2. `create_a_simpplr_site_page` - The agent translates the markdown to valid HTML, constructs the payload with `publishingStatus` set to 'published', and executes the tool. The API returns the new `contentId` and `url`.
3. `create_a_simpplr_wfeed_feed` - The agent generates a global announcement post utilizing the returned URL to drive traffic to the new policy.

The user receives a confirmation containing the direct links to both the newly published page and the global feed announcement.

## Security and Access Control

Giving an AI agent access to a company intranet requires stringent boundaries. Truto MCP servers provide deep security controls configured at the token level, ensuring ChatGPT only acts within authorized scopes.

- **Method Filtering:** Restrict the MCP server to specific operation types. Pass `config.methods: ["read"]` to allow `get` and `list` operations while hard-blocking `create`, `update`, and `delete`. This ensures the agent can read the directory but cannot deface the feed.
- **Tag Filtering:** Scope the integration to specific functional areas. By passing `config.tags: ["identity", "sites"]`, the LLM will only see tools related to user lookup and site metadata, completely hiding the feed and messaging endpoints.
- **Expiration Controls:** Enforce time-to-live restrictions on the agent's access. Setting `expires_at` during server creation guarantees the token will self-destruct, perfect for temporary contractor audits or short-lived CI/CD tasks.
- **Dual-Layer Authentication:** Enable `require_api_token_auth` to force the client to provide both the MCP URL and a valid Truto session token. This prevents unauthorized execution even if the MCP URL is leaked in internal chat logs.

## Architecting for Agentic Workflows

Building a custom integration layer between ChatGPT and Simpplr is a distraction from your core business logic. Parsing dual-layer APIs, handling strict HTML payload validation, and managing OAuth token lifecycles are solved problems.

By leveraging Truto's dynamically generated MCP servers, you eliminate the boilerplate. You get instant, documented, and secure tools mapped directly to Simpplr's complex endpoints - ready for your AI agents to consume in minutes.

> Ready to automate Simpplr with ChatGPT? Let Truto handle the integration layer while you focus on building powerful AI workflows.
>
> [Talk to us](https://truto.one/book-a-demo/)