Integrate the TextCortex API with the MongoDB API

Setup the TextCortex API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate TextCortex and MongoDB remarkably fast. Free for developers.

Popular Ways to Connect TextCortex with MongoDB#

Create Social Media Post with TextCortex API on New Collection from MongoDB API

MongoDB + TextCortex

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Create Social Media Post with TextCortex API on New Database from MongoDB API

MongoDB + TextCortex

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Create Social Media Post with TextCortex API on New Document from MongoDB API

MongoDB + TextCortex

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Create Social Media Post with TextCortex API on New Field in Document from MongoDB API

MongoDB + TextCortex

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Summarize Text with TextCortex API on New Collection from MongoDB API

MongoDB + TextCortex

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Popular TextCortex and MongoDB Triggers#

New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

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Popular TextCortex and MongoDB Actions#

Create Social Media Post with the TextCortex API

Create a social media post. See the documentation

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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Summarize Text with the TextCortex API

Summarize given text. The text can be provided as a string or as a file ID. See the documentation

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Translate Text with the TextCortex API

Translate given text into another language. See the documentation

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Overview of TextCortex#

The TextCortex API enables automated creation of human-like text, making it a powerful tool for a variety of text generation tasks like drafting emails, creating content, or generating product descriptions. With Pipedream, you can integrate TextCortex into serverless workflows to harness AI writing assistance, trigger content creation based on events, or enhance data with generated text. The API's capability enhances automation and can be combined with other apps for more complex tasks.

Connect TextCortex#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textcortex: {
      type: "app",
      app: "textcortex",
    }
  },
  async run({steps, $}) {
    const data = {
      "mode": `voice_passive`,
      "text": `The sky is blue.`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.textcortex.com/v1/texts/rewritings`,
      headers: {
        Authorization: `Bearer ${this.textcortex.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of MongoDB#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB#

import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})