MCP Tools Reference

"Show my scheduled posts"
"List all posts from last week"
"What LinkedIn posts are scheduled for next month?"
"Show me failed posts"
"List my drafts"

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
 
async def list_scheduled_posts():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            # List scheduled posts
            result = await session.call_tool("list_posts", {
                "status": "scheduled",
                "limit": 50
            })
            print(result.content[0].text)
 
asyncio.run(list_scheduled_posts())

{
  "success": true,
  "posts": [
    {
      "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1",
      "content": "Excited to share our latest update!",
      "status": "scheduled",
      "scheduledTime": "2026-02-20T14:00:00Z",
      "platforms": [
        {
          "platformId": "linkedin-123456",
          "platform": "linkedin",
          "status": "scheduled"
        }
      ],
      "createdAt": "2026-02-19T10:30:00Z",
      "updatedAt": "2026-02-19T10:30:00Z",
      "mediaUrls": []
    }
  ],
  "pagination": {
    "totalItems": 1,
    "totalPages": 1,
    "page": 1,
    "limit": 20,
    "hasNextPage": false,
    "hasPrevPage": false
  }
}

"Schedule 'Hello world!' to LinkedIn for tomorrow at 9am"
"Post 'We're hiring!' to Twitter and LinkedIn right now"
"Schedule this announcement to all my accounts for Monday"

import asyncio
from datetime import datetime, timedelta
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
 
async def schedule_post():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            # First get connections to find platform IDs
            connections = await session.call_tool("list_connections", {})
 
            # Schedule a post for tomorrow at 9am UTC
            tomorrow_9am = (datetime.utcnow() + timedelta(days=1)).replace(
                hour=9, minute=0, second=0, microsecond=0
            ).isoformat() + "Z"
 
            result = await session.call_tool("create_post", {
                "content": "Excited to share our latest product update!",
                "platforms": ["linkedin-abc123"],
                "scheduledTime": tomorrow_9am
            })
            print(result.content[0].text)
 
asyncio.run(schedule_post())

{
  "success": true,
  "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1",
  "scheduledTime": "2026-07-20T09:00:00.000Z"
}

@{urn:li:person:ACoAABcD1234EfG|Serge Bulaev}           # Mention a person
@{urn:li:organization:107107343|Acme Corp Inc}  # Mention a company

"Great insights from @{urn:li:person:ACoAABcD1234EfG|Serge Bulaev} at @{urn:li:organization:107107343|Creative Content Crafts Inc}!"

"Show me the details of post 67a1b2c3d4e5f6a7b8c9d0e1"
"What's the status of my last scheduled post?"
"Get info about my recent post"

async def get_post_details():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("get_post", {
                "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1"
            })
            print(result.content[0].text)

{
  "success": true,
  "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1",
  "status": "scheduled",
  "scheduledTime": "2026-07-20T14:30:00.000Z",
  "platformSettings": {},
  "platforms": ["linkedin-abc123"],
  "posts": [
    {
      "_id": "67a1b2c3d4e5f6a7b8c9d0e2",
      "platform": "linkedin",
      "platformId": "abc123",
      "content": "Excited to share our latest update!",
      "status": "scheduled",
      "postedId": null,
      "permalink": null
    }
  ],
  "media": []
}

"Fix the typo in tomorrow's post — it should say 'launch', not 'lunch'"
"Add my Threads account to that scheduled post"
"Drop LinkedIn from Friday's post and keep the rest"
"Reschedule post 67a1b2c3d4e5f6a7b8c9d0e1 to Friday at 3pm"
"Change my draft to scheduled"
"Move tomorrow's post to next week"
"Update the post to publish at 10am instead"

async def edit_post():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            # platforms REPLACES the stored set — read the current IDs first.
            await session.call_tool("list_connections", {})
 
            result = await session.call_tool("update_post", {
                "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1",
                "content": "Corrected launch announcement.",
                "platforms": ["linkedin-ABC123", "threads-DEF456"],
                "scheduledTime": "2026-03-01T15:00:00Z"
            })
            print(result.content[0].text)

{
  "success": true,
  "message": "Post updated successfully",
  "scheduledTime": "2026-03-01T15:00:00.000Z",
  "postGroup": {
    "_id": "67a1b2c3d4e5f6a7b8c9d0e1",
    "status": "scheduled",
    "content": "Corrected launch announcement.",
    "platforms": ["linkedin-ABC123", "threads-DEF456"],
    "scheduledTime": "2026-03-01T15:00:00Z"
  }
}

"Delete post 67a1b2c3d4e5f6a7b8c9d0e1"
"Cancel my scheduled post for tomorrow"
"Remove all my draft posts"

async def delete_post():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("delete_post", {
                "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1"
            })
            print(result.content[0].text)

{
  "success": true
}

import aiohttp
 
async def upload_image_to_post():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            # Get upload URL
            result = await session.call_tool("get_upload_url", {
                "postGroupId": "67a1b2c3d4e5f6a7b8c9d0e1",
                "fileName": "product-photo.jpg",
                "contentType": "image/jpeg",
                "type": "image"
            })
 
            # Parse the response - contains uploadUrl, fileUrl, and mediaId
            # Response: { "success": true, "uploadUrl": "https://...", "fileUrl": "https://...", "mediaId": "..." }
            import json
            data = json.loads(result.content[0].text)
            upload_url = data["uploadUrl"]
 
            # Upload file using the presigned URL
            async with aiohttp.ClientSession() as http:
                with open("product-photo.jpg", "rb") as f:
                    await http.put(upload_url, data=f.read())

"Show my connected accounts"
"What platforms am I connected to?"
"List my social media accounts"
"Which accounts do I have linked?"

async def list_connections():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("list_connections", {})
            print(result.content[0].text)
 
asyncio.run(list_connections())

{
  "connections": [
    {
    "platformId": "twitter-123456789",
    "username": "@yourcompany",
    "displayName": "Your Company",
    "profileImageUrl": "https://pbs.twimg.com/profile_images/...",
    "profileUrl": null,
    "tokenStatus": "valid",
    "tokenExpiresIn": null,
    "accessTokenExpiresAt": null,
    "lastSuccessfulPost": null,
    "lastError": null,
    "subscriptionType": "Premium"
    },
    {
    "platformId": "linkedin-Tz9W5i6ZYG",
    "username": "Your Company Page",
    "displayName": "Your Company",
    "profileImageUrl": "https://media.licdn.com/...",
    "profileUrl": "https://www.linkedin.com/company/your-company",
    "tokenStatus": "valid",
    "tokenExpiresIn": "82d 4h",
    "accessTokenExpiresAt": "2026-06-15T12:00:00.000Z",
    "lastSuccessfulPost": "2026-03-10T09:30:00.000Z",
    "lastError": null,
    "subscriptionType": null
    },
    {
    "platformId": "youtube-UCxxxxxxxxxxxx",
    "username": "Your Channel",
    "displayName": null,
    "profileImageUrl": "https://...",
    "profileUrl": null,
    "tokenStatus": "valid",
    "tokenExpiresIn": null,
    "accessTokenExpiresAt": null,
    "lastSuccessfulPost": "2026-03-11T18:00:00.000Z",
    "lastError": null,
    "subscriptionType": null
    }
  ]
}

"Like this LinkedIn post"
"React with PRAISE to post xyz"
"Add a heart reaction to my colleague's post"

async def react_to_post():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("linkedin_create_reaction", {
                "postedId": "urn:li:share:7123456789",
                "platformId": "linkedin-abc123",
                "reactionType": "LIKE"
            })
            print(result.content[0].text)

"Remove my reaction from this post"
"Unlike the LinkedIn post"

"Comment 'Great insights!' on this LinkedIn post"
"Post a comment on my latest LinkedIn update"
"Reply to this comment with 'Thanks for sharing!'"
"Comment on this post mentioning @{urn:li:person:ACoAABcD1234EfG|Jane Smith}"

async def comment_on_post():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("linkedin_create_comment", {
                "postedId": "urn:li:ugcPost:7429953213384187904",
                "platformId": "linkedin-abc123",
                "message": "Great insights! Thanks for sharing."
            })
            print(result.content[0].text)

{
  "success": true,
  "comment": {
    "id": "7434695495614312448",
    "commentUrn": "urn:li:comment:(urn:li:ugcPost:xxx,7434695495614312448)",
    "message": "Great insights! Thanks for sharing."
  }
}

"Delete my comment from this post"
"Remove the comment I just posted"

async def delete_comment():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("linkedin_delete_comment", {
                "postedId": "urn:li:ugcPost:7429953213384187904",
                "commentId": "urn:li:comment:(urn:li:ugcPost:xxx,7434695495614312448)",
                "platformId": "linkedin-abc123"
            })
            print(result.content[0].text)

"Reshare urn:li:share:123456 on linkedin-abc123 with the commentary 'Worth reading'"

"Show my recent LinkedIn posts"
"Get my last 10 LinkedIn posts"
"What have I posted on LinkedIn this month?"
"List my LinkedIn content"

async def get_my_linkedin_posts():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("linkedin_posts", {
                "platformId": "linkedin-abc123",
                "count": 20,
                "sortBy": "LAST_MODIFIED"
            })
            print(result.content[0].text)

{
  "success": true,
  "posts": [
    {
      "id": "urn:li:share:7123456789",
      "commentary": "Excited to share our latest product update!",
      "publishedAt": 1709294400000,
      "visibility": "PUBLIC",
      "lifecycleState": "PUBLISHED"
    }
  ],
  "pagination": {
    "start": 0,
    "count": 10,
    "total": 45
  },
  "cached": false
}

"Show comments on my last LinkedIn post"
"Get all comments on this LinkedIn post"
"What are people saying about my post?"
"List comments on post urn:li:share:123456"

async def get_post_comments():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("linkedin_post_comments", {
                "postedId": "urn:li:ugcPost:7429953213384187904",
                "platformId": "linkedin-abc123",
                "count": 50
            })
            print(result.content[0].text)

{
  "success": true,
  "comments": [
    {
      "id": "6636062862760562688",
      "commentUrn": "urn:li:comment:(urn:li:activity:123,6636062862760562688)",
      "actor": "urn:li:person:xxx",
      "message": "Great insights! Thanks for sharing.",
      "created": { "time": 1582160678569 },
      "likesSummary": { "totalLikes": 5 },
      "commentsCount": 2
    }
  ],
  "pagination": {
    "start": 0,
    "count": 20,
    "total": 89
  },
  "cached": false
}

"Who liked my LinkedIn post?"
"Show reactions on this post"
"Get all reactions on my announcement"
"List people who reacted to my post"

async def get_post_reactions():
    headers = {"Authorization": "Bearer sk_YOUR_API_KEY"}
 
    async with streamablehttp_client("https://mcp.publora.com", headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
 
            result = await session.call_tool("linkedin_post_reactions", {
                "postedId": "urn:li:ugcPost:7429953213384187904",
                "platformId": "linkedin-abc123",
                "count": 100
            })
            print(result.content[0].text)

{
  "success": true,
  "reactions": [
    {
      "id": "urn:li:reaction:(urn:li:person:xxx,urn:li:activity:123)",
      "reactionType": "LIKE",
      "actor": "urn:li:person:xxx",
      "created": { "time": 1686183251857 }
    },
    {
      "id": "urn:li:reaction:(urn:li:person:yyy,urn:li:activity:123)",
      "reactionType": "PRAISE",
      "actor": "urn:li:person:yyy",
      "created": { "time": 1686183300000 }
    }
  ],
  "pagination": {
    "start": 0,
    "count": 50,
    "total": 456
  },
  "cached": false
}

try:
    result = await session.call_tool("create_post", {
        "content": "Hello world!",
        "platforms": ["linkedin-abc123"],
        "scheduledTime": "2026-03-01T14:00:00Z"
    })
    print(result.content[0].text)
except Exception as e:
    print(f"Tool error: {e}")