Integrate the MongoDB API with the Fireflies API

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

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Popular Ways to Connect MongoDB with Fireflies#

Create New Document with MongoDB API on New Meeting Created from Fireflies API

Fireflies + MongoDB

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Delete a Document with MongoDB API on New Meeting Created from Fireflies API

Fireflies + MongoDB

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Execute Aggregation with MongoDB API on New Meeting Created from Fireflies API

Fireflies + MongoDB

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Find Document by Id with MongoDB API on New Meeting Created from Fireflies API

Fireflies + MongoDB

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Find Document with MongoDB API on New Meeting Created from Fireflies API

Fireflies + MongoDB

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Popular MongoDB and Fireflies Triggers#

New Meeting Created from the Fireflies API

Emit new event when a meeting with transcripts is created

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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 MongoDB and Fireflies Actions#

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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Find Meeting by ID with the Fireflies API

Locates a specific user meeting by its unique 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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Find Recent Meeting with the Fireflies API

Retrieves the most recent meeting for a user. See the documentation

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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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()
  },
})

Overview of Fireflies#

The Fireflies API allows you to harness the power of AI to record, transcribe, and search across your voice conversations. With Pipedream, you can create automated workflows that leverage these capabilities to streamline communication, enhance collaboration, and ensure important insights from meetings are captured and actionable. By integrating with other apps, you can trigger actions, sync data, and build an array of powerful automations around your Fireflies data.

Connect Fireflies#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fireflies: {
      type: "app",
      app: "fireflies",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{ user { user_id email } }`,
    }
    return await axios($, {
      method: "POST",
      url: `https://api.fireflies.ai/graphql`,
      headers: {
        Authorization: `Bearer ${this.fireflies.$auth.api_key}`,
      },
      data,
    })
  },
})

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