"LinkedIn company profile pages" matching MCP servers:

Enables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.

AI-powered LinkedIn automation server for content generation, profile/company data extraction, and connection request automation, integrating with MCP clients like Claude Desktop.

Analyzes LinkedIn profiles for specific companies and roles to extract career patterns and insights using AI.

Enables authorized users to manage the versioned company YAML configuration and preview generated email responses through an OAuth-protected MCP interface. It supports approved-knowledge-based drafting while keeping prices, conditions, and signatures literal and routing uncertain enquiries to staff review.

Enables authenticated LinkedIn profile access, AI-assisted post drafting and publishing, job searching across multiple free boards, and local application tracking—all through MCP tools.

Enables structured company-news briefs and sector-wide market-signal sweeps via the Perplexity Sonar API, returning fixed-section briefs and JSON-schema-constrained signal arrays with citations.

Provides a local MCP server that exposes the check_prompt_injection tool to MCP clients, letting agents scan untrusted text (web pages, documents, tool outputs, emails) for prompt injection before passing it to another LLM.

Competitive intelligence for AI agents — analyze any URL or company description and get structured JSON with positioning, pain points, competitors, and unique market angles. Payments via x402 protocol ($0.05 USDC on Base mainnet), no accounts required.

Enables OCR-enabled PDF to Markdown conversion in Claude Code, with per-page inspection and hybrid handling of text, scanned, mixed, and blank pages via a local vision-model endpoint.

Hosted company-state MCP: brand, voice, charter, priorities, and entitled skills for Cursor, Claude, Codex, OpenClaw, and other MCP hosts. Public proof in under 10 seconds, tenant feed after trial.

prevents llm from overload, freeze and oscillation

An AI-powered QA automation tool that crawls web pages, generates Playwright-based pytest tests using an LLM, runs them, and automatically heals failing tests.

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to. Covers OpenAI, Anthropic, Azure, Bedrock, Google, and Cohere from each provider's own deprecation pages.

Reads website pages and generates one cohesive image per page, with no text and no recognizable human faces.

MCP server that converts HTML templates into deliverable pages (PPT/proposals/solutions) with 7 atomic tools for template selection, content filling, icon rendering, image generation, page assembly, and quality validation.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Hands bulk reading of logs, documents, mail and web pages to cheap OpenRouter models, masks secrets first, and checks every quote and line reference in the answer against the source.

The Ritwik Joshi Personal MCP Server is a standardized Model Context Protocol (MCP) data source designed to give AI agents direct, authoritative tool access to his professional profile. It features eight tools that enable AI assistants to fetch real-time information regarding his speaker profile, keynotes, TEDx talks, blog articles, and booking details without relying on outdated data.

Enables users to generate images, articles, voice, music, and more from their Sapiens Sintéticos account using natural language, spending credits and saving to their profile.