"Fetching data from an MCP server" matching MCP connectors:

Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.

Give your AI agent a spending limit: approval controls and single-use virtual cards.

AI visibility tracking & website fixes for better AI search presence

Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.

Sales intelligence for B2B SMEs — lead scoring, ICP fit, CRM enrichment & writeback.

The MCP server behind goodbotbad.bot, where the crowd rules AI transcripts good bot or bad bot.

Build and edit landing pages and websites from your AI assistant, and pull how they are performing.

Location & routing intelligence for AI agents — geocoding, truck routing, traffic, weather, and place search.

Drive real Android & iOS devices and web browsers from natural language for mobile + web QA. 290+ tools across device control, app management, automation sessions, browser automation, and flow recording / replay. Bearer-auth — get a token at robotactions.com → Profile → API Tokens.

Indian Railways IRCTC helps you to view, track trains schedules, ticket status and more.

Millions of dated buying and momentum signals: who raised, who's hiring, what changed and when

MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.

Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

Generate synthetic random user data for testing, demos, and development without using real persona.

Search French and European case law and French legal texts (codes, statutes, treaties).

Analyze customer data to make segmentation and predict which customer to focus on for more sales.

Analyze and score leads to identify high-potential prospects and prioritize sales outreach.

Analyze inventory levels and optimize stock allocation to reduce waste and avoid stockouts.

Analyze Product performance on Platforms like youtube, instagram etc. To optimize Marketing.

Forecast product demand using historical sales and market signals.