"Information on LinkedIn Business or LinkedIn Advertising" matching MCP servers:

An MCP server that enables AI assistants to interact with LinkedIn, including job search, profile viewing, resume/cover letter generation, and application tracking.

Enables the creation and management of business design artifacts including Business Model Canvases, SWOT analyses, and user personas. It features project organization and AI-powered research tools to automatically populate frameworks with market data.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

An MCP server exposing internal business operations as tools — task management (create, list, update status) and RAG-style semantic search over an internal knowledge base (leave, expense, and onboarding policies) that any MCP-compatible AI agent can call directly for grounded, non-hallucinated answers.

MCP server for self-hosted qTest Manager, enabling natural-language management of projects, modules, test cases, requirements, traceability, and test execution via the qTest REST API.

Enables comprehensive Trello integration via MCP, supporting boards, lists, cards, comments, labels, members, checklists, search, and attachments, deployed on Cloudflare Workers.

MCP server for Azure DevOps Server 2022 (on-premises) that enables AI assistants to interact with work items, repositories, builds, and sprints through 29 tools.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

Submit and inspect governed business-system actions through a BailingHub control plane, with tools for submitting, retrieving, and waiting on governed jobs.

MCP server that acts as a shim between Claude and the PostGrowth API, exposing seven tools to list clients, manage posts, and handle ClickUp tasks and media uploads. It translates MCP calls into authenticated HTTP requests, keeping business rules and credentials on the server side.

MCP server that connects AI assistants to Leapd, enabling them to launch and manage an AI-run business by creating tasks, deploying sites, and accessing business documents.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Enables AI assistants to interact with SMB platform APIs for querying business data, managing tasks, accessing connectors, dashboards, and monitoring security.

Enables Claude to interact with LifeUp Cloud API on your local network for task management, achievements, and user information. Supports 20 tools including creating, editing, and querying tasks, achievements, and shop items.

MCP server for solo business founders to route painpoints, generate execution assets, and maintain control through approval workflow.

MCP server for AL Object ID management in Microsoft Dynamics 365 Business Central development. It provides intelligent object ID allocation, collision prevention, and team collaboration features.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Enables AI assistants to interact with OpenL Studio's business rules management system, allowing repository, project, rule, and deployment management via natural language.

Connects AI assistants to the Itcons.app business operations platform for managing work reports, work orders, projects, clients, and users. It supports both local stdio and remote HTTP modes, enabling querying, searching, and creating operational data with secure authentication.

Give your AI the full context of how your business runs: CRM, finances, tasks, and memory in one self-hosted MCP server." Short + long descriptions lead with cross-domain reasoning ("which customers are behind on payment and what did we last promise them" reads the ledger and CRM in one answer) and self-hosted data ownership (your own Supabase, stdio, MIT).