"Open Source Intelligence (OSINT) tools and techniques" matching MCP servers:

Enables AI assistants to self-host MCP connectors for managing Meta platforms such as Facebook Pages, Instagram, Threads, Ads Manager, and Commerce, with tools for publishing, engagement, analytics, ad campaigns, and competitor research.

Enables creators to connect their social channels so AI assistants can read their published Instagram, TikTok, YouTube, LinkedIn and Threads history, including posts, metrics, transcripts, comments and audience data, then use bundled skills to plan next posts, research creators, maintain brand docs, manage product catalogues and find outreach targets.

MCP server for Yandex Wordstat v2 API enabling keyword research and search trend analysis with in-memory caching, integrated via mcpo proxy with Open WebUI.

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

MCP server for autonomous catalog enrichment, turning raw ERP data into storefront-ready product listings with SEO titles, descriptions, images, schema.org, and validation. Provides tools for EAN lookup, image search, enrichment, batch processing, URL analysis, and Shopify payload generation.

Revenue intelligence for complex B2B growth. Your agent builds the assets technical founders sell with, and prepares them for real buyer conversations.

Enables deep ICP analysis with 9 tools for ideal customer profiling, market sizing, buyer mapping, and account prioritization.

Analyzes a public webpage for SEO, metadata, and technical signals through 27 stdio tools, including a complete multi-analyzer call.

Sales intelligence for DACH & EU SMEs — lead scoring, ICP fit, CRM enrichment & writeback.

Enables AI assistants to perform marketing risk inspection, sensitive-word detection, and anti-ban rewriting suggestions for content on platforms like Goofish, Xiaohongshu, and Reddit.

Provides social intelligence tools for AI agents to analyze competitor sentiment, trends, and brand mentions from X/Twitter data.

MCP server for AI-powered marketing intelligence and automation for the RU/CIS market, offering tools for media planning, benchmarks, competitor analysis, and funnel conversion.

Five general-purpose stdio MCP servers for SEO: access to SERP, Wordstat, Google Search Console, Yandex.Webmaster and Yandex.Metrica straight from Claude Code (or any MCP client). All tools are read-only, output is strict JSON. Not tied to a specific site: defaults (GSC property, Webmaster host, Metrica counter) are configured on the fly.

An MCP server for out-of-home (OOH) site-reachability tooling that provides geospatial catchment scoring and multi-site comparison for billboard/ad-site evaluation using open data.

Intelligence data concerning behavioral population habits.

Provides 13 offline SEO and marketing tools to any MCP client, covering ad metric calculators, text and heading analysis, keyword density, and generators for meta tags, Open Graph, hreflang, schema markup, XML sitemaps, and robots.txt. Everything runs locally with no account, API key, or network calls.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Enables seamless integration with any LLM client supporting MCP for creating and optimizing technical content and product positioning using Open Strategy Partners' methodologies.

A TypeScript implementation of a Model Context Protocol server that provides marketing tools based on Open Strategy Partners' methodologies, enabling content creation, optimization, and product positioning through tools like value map generation, meta information creation, and content editing.

Provides free, zero-marginal-cost MCP tools for structured small business teardown, competitor analysis, review intelligence, and market opportunity scanning, returning research methodology for AI models to execute.