"A tool for automatically generating LinkedIn posts" matching MCP servers:

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.

Lets AI agents publish posts to personal profiles or administered company pages, comment on posts, list recent posts, and retrieve analytics such as impressions, reactions, comments, shares, and clicks.

Enables AI agents to authenticate with LinkedIn via OAuth, look up profiles and organizations, create and manage posts, comments, reactions, and media uploads, and handle ad campaign management, all with dry-run previews for write operations.

Enables AI assistants to securely search your LinkedIn network, contacts, and DMs to find warm leads, intro paths, and hidden opportunities.

An MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.

MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.

The LinkedIn API and MCP server for AI agents: search, connect, message and enrich on accounts you own, with limits enforced on our server. 20,000+ LinkedIn accounts run on this stack, and under 1% of them have ever been restricted.

Enables capturing recent posts from LinkedIn profiles and company pages, including real reaction and comment counts and publicly visible commenters, without requiring a LinkedIn account, cookies, or credentials.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

MCP server for the LinkedIn Marketing API — query campaigns, performance, and Lead Gen Forms from Claude in plain English. 19 read-only tools covering ad accounts, campaigns, creatives, performance analytics, demographics, video analytics, budget pacing, period comparisons, conversions, Lead Gen Forms, audiences, and targeting facets. Built for B2B paid social teams.

REST API and MCP server for AI agents to extract structured LinkedIn profile data.

Released 3.0.0: 22 MCP tools, guided offline setup, local stdio, Chrome and manual login. No hosted deployment or job-research brief. Writes need opt-in, reviewed preview and human approval. Unofficial; provider compatibility, first-use cohorts, coordinated erasure and Windows privacy proof remain unverified. No mandatory paid service.

Enables AI assistants to search LinkedIn Sales Navigator contacts and accounts by driving a real logged-in browser and capturing Sales Navigator's own search API responses.

Universal LinkedIn MCP server for profile editing, rich posting (media, polls), messaging threads, network growth, and analytics with stealth browser automation and strict account guardrails.

LinkedIn Ads MCP server with full read/write campaign management, Ad Library competitive search, and Cloud Run team deployment.

Provides LinkedIn automation via a real browser session using your own cookie, enabling profile, company, job, and post search and reading, plus sending messages and connection requests with rate limiting.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

Protects AI agents from bad tool outputs, schema mismatches, and tool poisoning by validating, sanitizing, and scoring reliability of tool responses.

Enables AI agents and MCP clients to search live LinkedIn job postings by role, location, recency, salary, recruiter, and company details, returning structured rows with full descriptions and metadata. It connects to a hosted endpoint with OAuth or token authentication and requires no LinkedIn account, cookies, or API access.

Cross-chain cryptocurrency swaps via Chainflip. Get quotes, execute swaps, and track progress. No API key required to get started.

Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Enables MCP clients to search by name plus company information and receive candidate LinkedIn profile links with confidence scores, headline/follower details, and current-or-former employer flags without accessing LinkedIn directly.

Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.

Enables searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.