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

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.

Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.

Enables ChatGPT or other MCP clients to control native Codex sessions on Windows, providing tools for thread management, turns, observation, steering, and responding to approvals.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

Enables AI assistants and MCP clients to launch and manage Cursor Cloud Agents on repositories or without one, select models, follow up mid-run, retrieve or cancel results, and check usage and cost.

Connects AI coding agents to the SkillsMP marketplace, allowing users to search, read, and install over 8,000 community-made skills. It enables agents to gain new capabilities either through on-the-spot instruction or permanent installation without requiring an API key.

An MCP server that connects Gemini 2.5 Pro to Claude Code, enabling users to generate detailed implementation plans based on their codebase and receive feedback on code changes.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

Enables Claude or any MCP client to drive the GitHub Copilot cloud agent via its REST API, allowing it to research, edit, and open pull requests on repositories without manual intervention.

An MCP server that allows coding agents to look up contextual rules and patterns on demand, providing just-in-time guidance for specific tasks like writing tests or authoring UI.

Bridges Codex to a local Claude Opus 5 collaborator via Claude Code, enabling controlled read-only consultation or write-capable tasks on allowed workspaces with independent verification.

MCP server that turns ChatGPT Web or any MCP client into a coding agent on your own repositories, enabling file editing, command execution, testing, and git workflow without an OpenAI API key.

Enables MCP clients to start and steer persistent terminals and coding agents, run commands and edit files on local or remote machines, and arrange the Herdr desktop window.

Enables delegating coding tasks to the Pi CLI through MCP with named sessions, synchronous or asynchronous execution, and a read-only transcript window on Windows.

Always-on AI agents: a software factory for Claude Code, or an AI SRE that watches your systems.

Connects AI assistants to an AgentX account so they can list and inspect a fleet of AI coding agents running on the user's own machines, read their output, send them messages, create chats, wait for events, and retrieve artifacts. Sign-in happens through browser-based OAuth, with no API key or local install required.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Enables a chat or voice assistant to drive coding agents running in herdr: it can start an agent on a task, list and watch sessions started anywhere, send follow-ups, answer an agent's questions and approve or refuse its permission prompts. Long-running work is reported back through webhook callbacks so the conversation can continue without blocking.

Enables multiple AI coding agents to collaborate on a project by coordinating tasks, file leases, and messages through a shared hub, preventing conflicts and enabling parallel development.

Exposes a local stdio interface that lets a delegating agent create coding tasks, poll status and paginated evidence views (result, diff, log, usage), request rework, and record independent acceptance before closing or cleaning up. Task runs stay on the local machine and execute against DeepSeek or any OpenAI-compatible endpoint in isolated worktrees or locked workspaces.

Enables Puck (or any MCP client) to start, inspect, list, cancel, and continue durable Factory Droid tasks on the same host, with idempotent request keys, workspace locking, autonomy/reasoning control, and live authenticated model discovery. It runs without a UI, database, or daemon and inherits the service user's existing Droid CLI login instead of collecting credentials.

Enables coding agents to discover projects, models, and sessions on an existing OpenCode server; delegate and supervise tasks; inspect progress, tool results, and diffs; answer authorized permission requests; and interrupt or redirect work via MCP or a JSON CLI.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

A zero-dependency MCP server that allows multiple coding agents to coordinate work on the same repository using file locks, task claims, and status messages.

Enables MCP clients such as Claude Code and Codex to delegate persistent review or isolated write-mode implementation tasks to locally installed Claude Code or Codex runtimes, then inspect progress, approve or deny individual permission requests, and continue the same native conversation. It also lists live model catalogues, lets callers follow up on saved conversations, and can run independently via its bundled CLI.

Lets MCP clients create, resume, message, and stop Pi coding-agent sessions running on another machine, with conversations that survive client disconnects and server restarts. Sessions can be kept loopback-only or published privately to trusted callers over Tailscale HTTPS.

Enables an AI assistant to delegate coding tasks to local Codex or Claude Code CLIs, monitor their progress, read results, continue sessions, and browse the files in user-approved project workspaces. It exposes these capabilities over Streamable HTTP through a Cloudflare tunnel or locally over stdio, so a remote or cloud client can drive agents running on the user's own machine.