"LinkedIn professional networking platform" matching MCP servers:

Enables AI agents to publish themselves, discover each other, and establish authenticated encrypted connections without central infrastructure, using a decentralized agent-to-agent networking protocol.

Provider-neutral MCP server for managing VirtualBox, VMware Fusion, and VMware Workstation, offering tools for VM lifecycle, configuration, snapshots, guest operations, networking, and artifact resolution.

A Go CLI and MCP server for cross-posting to Twitter, LinkedIn, and Reddit from your terminal or AI agents, with secure local credential storage.

MCP server that integrates with the BlockSec https://blocksec.com platform to provide blockchain transaction analysis.

MCP server for processing Markdown resumes into multiple formats (PDF, LinkedIn templates) with AI analysis and Claude integration.

MCP server bridging Spinnaker continuous delivery platform to LLMs for application, pipeline, and deployment management

A comprehensive MCP tools collection providing filesystem operations, command execution, system tools, and more, with cross-platform support and strong security features.

Tickstem is a developer infrastructure platform for production SaaS apps. This MCP server lets you manage cron jobs and verify email addresses directly from your AI coding assistant — no dashboard needed. Register jobs, check execution history, verify emails for syntax, MX records, disposable domains, and role-based prefixes, all through natural language.

Enables AI agents to connect to the EVC Mesh task management platform for task management, persistent memory, event publishing, and multi-agent coordination.

A server interface for Bitrise CI/CD platform that enables app management, build operations, artifact management, and release management through natural language interactions.

A Model Context Protocol server for Massdriver that enables AI assistants to manage infrastructure platform resources like projects, environments, deployments, policies, and more. It provides 106 tools and supports stdio or HTTP transports.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

MCP server for the BuildPulse Platform API. Lets AI agents surface flaky tests, CI run history, and coverage health.

Official MCP server built into Casdoor, the open-source identity and access management (IAM) and single sign-on (SSO) platform. It exposes Casdoor's users and applications as MCP tools over a JSON-RPC endpoint at /api/mcp, with per-tool authorization driven by OAuth scopes, and can also act as an MCP gateway that proxies and authorizes agent access to upstream MCP servers.

Official MCP server for the Nhost backend platform. Manage Postgres data, GraphQL, auth, storage, migrations and Hasura metadata via AI assistants.

A lightweight, cross-platform MCP server for managing background processes. Enables AI coding agents to spawn, monitor, and interact with long-lived processes.

Enables MCP clients such as Cursor and Claude Desktop to query a GRC platform over stdio or HTTP, with read-only access by default and opt-in create, update, and delete tools subject to platform authorization.

Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.

MCPJungle is a self-hosted MCP Registry and Gateway suitable for both local and enterprise deployments. It provides a single URL for your MCP clients to access servers and a central platform for you to track your MCPs and client-server interactions.

Exposes French electronic invoicing as a local stdio MCP server, letting an AI client create EN 16931-compliant Factur-X invoices with guaranteed legal numbering, client and organization management, and invoice history. It can also submit a generated invoice to a French e-invoicing platform (PDP) after explicit confirmation.