Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Automate LinkedIn operations through Composio's LinkedIn toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/linkedin
RUBE_MANAGE_CONNECTIONS with toolkit linkedinRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit linkedinWhen to use: User wants to publish a text post on LinkedIn
Tool sequence:
LINKEDIN_GET_MY_INFO - Get authenticated user's profile info [Prerequisite]LINKEDIN_REGISTER_IMAGE_UPLOAD - Register image upload if post includes an image [Optional]LINKEDIN_CREATE_LINKED_IN_POST - Publish the post [Required]Key parameters:
text: Post content textvisibility: 'PUBLIC' or 'CONNECTIONS'media_title: Title for attached mediamedia_description: Description for attached mediaPitfalls:
When to use: User wants to retrieve their LinkedIn profile or company details
Tool sequence:
LINKEDIN_GET_MY_INFO - Get authenticated user's profile [Required]LINKEDIN_GET_COMPANY_INFO - Get company page details [Optional]Key parameters:
organization_id: Company/organization ID for GET_COMPANY_INFOPitfalls:
When to use: User wants to upload and attach images to LinkedIn posts
Tool sequence:
LINKEDIN_REGISTER_IMAGE_UPLOAD - Register an image upload with LinkedIn [Required]LINKEDIN_GET_IMAGES - Verify uploaded image status [Optional]LINKEDIN_CREATE_LINKED_IN_POST - Create post with the image asset [Required]Key parameters:
owner: URN of the image owner (user or organization)image_id: ID of the uploaded image for GET_IMAGESPitfalls:
When to use: User wants to comment on an existing LinkedIn post
Tool sequence:
LINKEDIN_CREATE_COMMENT_ON_POST - Add a comment to a post [Required]Key parameters:
post_id: The URN or ID of the post to comment ontext: Comment contentactor: URN of the commenter (user or organization)Pitfalls:
When to use: User wants to remove a previously published LinkedIn post
Tool sequence:
LINKEDIN_DELETE_LINKED_IN_POST - Delete the specified post [Required]Key parameters:
post_id: The URN or ID of the post to deletePitfalls:
User URN from profile:
1. Call LINKEDIN_GET_MY_INFO
2. Extract user URN (e.g., 'urn:li:person:XXXXXXXXXX')
3. Use URN as actor/owner in subsequent calls
Organization ID from company:
1. Call LINKEDIN_GET_COMPANY_INFO with organization_id
2. Extract organization URN for posting as a company page
Authentication:
URN Formats:
Rate Limits:
Content Restrictions:
| Task | Tool Slug | Key Params |
|---|---|---|
| Get my profile | LINKEDIN_GET_MY_INFO | (none) |
| Create post | LINKEDIN_CREATE_LINKED_IN_POST | text, visibility |
| Get company info | LINKEDIN_GET_COMPANY_INFO | organization_id |
| Register image upload | LINKEDIN_REGISTER_IMAGE_UPLOAD | owner |
| Get uploaded images | LINKEDIN_GET_IMAGES | image_id |
| Delete post | LINKEDIN_DELETE_LINKED_IN_POST | post_id |
| Comment on post | LINKEDIN_CREATE_COMMENT_ON_POST | post_id, text, actor |
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概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。