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PostLake

postlake-mcp

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PostLake MCP server and agent skills. One API for AI agents to publish, schedule and measure social posts across X, LinkedIn, Instagram, TikTok, Facebook, Threads, Bluesky, YouTube and Pinterest.

0 starsOthers Updated Aug 31, 2026
agent-skillsai-agentsapiautomationclaudemcpmcp-servermodel-context-protocolsocial-mediasocial-media-api

Documentation

PostLake: the social operating system for AI agents

Give an agent one reliable way to run social. PostLake lets agents publish,

schedule, monitor, discover, reply, moderate, and learn across X, LinkedIn,

Instagram, TikTok, Facebook, Threads, Bluesky, YouTube, and Pinterest.

One connection gives an agent one normalised contract instead of nine platform

SDKs, nine auth models, and nine incompatible result shapes. It can act with a

hosted MCP server, a drop-in agent skill, or the REST API.

> An agent can plan a campaign, validate each destination before it spends a

> credit, publish or save a draft for approval, confirm asynchronous posts,

> read conversations and comments, handle what needs a response, and use the

> results to decide what to do next.

  • Hosted MCP: `https://api.postlake.dev/mcp`
  • Documentation: https://docs.postlake.dev
  • Website: https://postlake.dev
  • Machine-readable docs: https://postlake.dev/llms.txt
  • MCP Registry: `dev.postlake/social`

Why agents use PostLake

One contract, every network

Post once or fan out to every connected network. Each target has the same

state, URL, time, and error shape, so an agent handles the result once rather

than writing platform-specific recovery logic.

Safe to let an agent act

`validate_post` provides a free dry run before publishing. Idempotency keys

make retries safe. Drafts support a human approval step. `confirm_post` checks

an asynchronous provider after it accepts a post, and every action reports the

individual target result rather than hiding partial failure.

Not just a publishing endpoint

An agent can read a unified feed of notifications, direct messages, comments,

and post performance. It can then reply, moderate, engage, research a topic,

or inspect an account before it acts. Social management stays in the same

workflow as publishing.

Human control where it belongs

OAuth makes the account owner approve a connection in the browser. `get_connect_link`

lets an agent send them directly to that approval step. Owners can revoke an

agent, manage channels, and set agent limits from PostLake. An agent never

needs a social-network password.

Start in minutes

Hosted MCP: Cursor, Claude, ChatGPT, Gemini, Copilot, and more

PostLake is a remote Streamable HTTP MCP server. Nothing is installed, run, or

self-hosted. Add this server in your MCP client, then complete the PostLake

OAuth approval once.

json
{
  "mcpServers": {
    "postlake": {
      "url": "https://api.postlake.dev/mcp"
    }
  }
}

Cursor

Open Settings -> Tools & MCP -> New MCP server, add the configuration above,

then select Connect for PostLake and approve the browser sign-in.

Claude Code

bash
claude mcp add --transport http postlake https://api.postlake.dev/mcp

Other MCP clients

Add `https://api.postlake.dev/mcp` as a remote MCP server. The initial OAuth

challenge opens the host's sign-in and approval flow. Full setup instructions:

https://docs.postlake.dev/mcp

Drop-in skills: coding agents

Install PostLake's agent skills for Claude Code, Cursor, Codex, Windsurf, and

other skills-compatible coding agents:

bash
npx skills add postlake/postlake-mcp --all

Set `POSTLAKE_API_KEY` in the agent's runtime, then ask it to handle social

work in plain language. The skills cover accounts, publishing, scheduling,

media, and analytics.

REST API: custom agent runtimes

Use `https://api.postlake.dev/v1` from LangGraph, CrewAI, AutoGen, OpenAI tool

calls, or any HTTPS client. The REST API and MCP server work against the same

profiles, channels, posts, and safety rules.

What an agent can do

The MCP server currently provides 53 focused tools. They are designed around

social outcomes rather than individual platform APIs.

OutcomeTools
Understand the account`whoami`, `get_credits`, `list_profiles`, `list_social_accounts`, `get_social_account`, `list_account_targets`, `check_allowance`
Connect and organise channels`create_profile`, `rename_profile`, `delete_profile`, `connect_account`, `get_connect_link`, `disconnect_account`, `create_api_key`
Plan and validate`get_platform_capabilities`, `get_publish_info`, `validate_post`
Publish and schedule`create_post`, `get_post`, `confirm_post`, `list_posts`, `edit_post`, `cancel_post`, `publish_draft`, `delete_post`
Media`upload_media`, `upload_media_batch`
Unified Inbox`list_notifications`, `mark_notifications_seen`, `list_conversations`, `read_conversation`, `mark_conversation_read`, `send_message`, `read_comments`, `reply_to_comment`, `hide_comment`, `delete_comment`
Discover and understand the network`search_posts`, `look_up_profile`, `read_profile_posts`, `search_places`, `list_own_posts`, `list_tagged_posts`
Engage and manage presence`engage`, `update_profile`
Commerce, events, and collaborations`list_products`, `list_branded_partners`, `list_ad_accounts`, `list_events`, `create_event`, `find_creators`
Measure and improve`get_post_analytics`, `get_analytics`

An agent workflow that does not break trust

1. Call `whoami` and `list_social_accounts` to understand the account, limits,

connected channels, and current readiness.

2. If a human still needs to connect a channel, call `get_connect_link` and send

them the short-lived approval URL. Do not ask them to hunt through a dashboard.

3. Call `get_platform_capabilities` and `validate_post` before creating a

multi-network post. PostLake returns each target's exact constraint and fix.

4. Use `create_post` to publish, schedule, or save a `draft` for human review.

Include an idempotency key so a retry cannot double-post.

5. If a platform is processing asynchronously, call `confirm_post` to obtain

the provider-confirmed state without waiting for a public URL.

6. Use `list_notifications`, `list_conversations`, and `read_comments` to see

what needs attention. Reply, moderate, or engage only where the platform

supports it.

7. Use `get_analytics` and `get_post_analytics` to turn results into the next

informed action, not a spreadsheet someone has to interpret later.

Example prompts

  • "Check every connected channel, then tell me what needs a human approval."
  • "Draft a launch post for LinkedIn, Instagram, Threads, and TikTok. Validate

it, save it as a draft, and show me the platform-specific changes."

  • "Read new DMs and comments. Give me concise reply drafts, but do not send

anything until I approve them."

  • "Find what people are saying about this topic, inspect the strongest three

accounts, then propose a post that adds something useful."

  • "Confirm yesterday's TikTok post, then compare its performance with the rest

of the week and recommend the next post."

Platform-aware, not platform-blind

PostLake knows the constraints that cause social automations to fail in real

life: media types, image counts, caption limits, creator-level TikTok settings,

network-specific privacy options, post destinations, async publishing, and

whether a given connection can read, search, message, or engage.

When a platform cannot perform an action, PostLake says so in the response.

An empty list never silently means a network was not read. A partial publish

does not pretend every destination succeeded. Agents get the information they

need to recover safely.

Security and ownership

For interactive MCP clients, PostLake uses OAuth and PKCE. The account owner

approves each connected agent once and can revoke it from the dashboard at any

time. OAuth tokens are scoped to that client and refresh automatically.

For unattended services, use a PostLake API key in the service's secret store,

not in a prompt or source file. Keys have account-level access, so use a named

key per trusted service and revoke it when it is no longer needed.

Pricing

Every plan includes the MCP server and agent access. Start with 20 free credits

per month and no card. Credits are charged when publishing or where a platform

charges for a particular operation. See the current pricing and credit rates at

https://postlake.dev/pricing.

Documentation

  • MCP setup and tool reference: https://docs.postlake.dev/mcp
  • Quickstart: https://docs.postlake.dev/quickstart
  • Publishing and schedules: https://docs.postlake.dev/publishing
  • Reading, Inbox, and engagement: https://docs.postlake.dev/reading
  • API reference: https://docs.postlake.dev

Built by PostLake. Issues and pull requests are welcome.

Frequently asked questions

What is postlake-mcp?

postlake-mcp is PostLake MCP server and agent skills. One API for AI agents to publish, schedule and measure social posts across X, LinkedIn, Instagram, TikTok, Facebook, Threads, Bluesky, YouTube and Pinterest.

How do I install postlake-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is postlake-mcp open source?

Yes — it is hosted on GitHub at https://github.com/PostLake/postlake-mcp.

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