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20 Best PostgreSQL MCP Servers: compared and ranked, October 2026Ranked from 1,444 matching servers on stars, growth, downloads and maintenance. Updated .

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    Local MCP server that integrates with VK Ads API and Core VK API, providing 128 tools for managing ad campaigns, audiences, creatives, statistics, and analyzing VK communities.
    2 npm
    MIT
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    Enables querying a multifamily marketing dataset with six composable tools for marketing spend, leasing funnel, and phone calls, grouped however you need.
    MIT
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    Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.
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    6
    MIT
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    agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log
    100
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    MIT
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    Enables AI assistants to perform live Google rankings lookups, checking where a domain ranks for a keyword in a given country and returning the top 10 organic results.
    1
    23 PyPI
    MIT
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    Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.
    15
    107 npm
    1
    MIT
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    Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.
    61
    50 npm
    MIT
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    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
    1
    50 npm
    13
    Apache 2.0
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    A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.
    6
    8 npm
    6
    MIT
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    Connects MCP clients to ThriveStack AI Visibility data, enabling users to see how AI search engines mention and cite their brand, compare with competitors, and decide what to publish next.
    MIT
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    Lets an AI assistant check any URL to see how much of a page's main content is present in the raw HTML versus only after JavaScript runs, showing which text blocks, meta fields, canonical tags, JSON-LD and links AI crawlers like GPTBot and ClaudeBot cannot read. It also reports what robots.txt allows for 22 AI bot tokens and how the site responds to each bot's user-agent.
    AGPL 3.0
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    Enables AI agents to perform live Google SERP searches, run on-page and full-site SEO audits with prioritized fixes, and check brand visibility in AI answer engines via four MCP tools.
    MIT
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    Multi-agent sales email generation server that creates, evaluates, and sends personalized sales emails via SendGrid, using AI to craft diverse email styles and select the best one.
    MIT
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    Model Context Protocol server that enables AI assistants to perform keyword research, SEO analysis, and content planning through natural language queries against kwrds.ai's SEO tools.
    7
    Apache 2.0