Best AI capabilities for MCP

Serverless Postgres MCP integration for database branching, schema context, and SQL workflows.

Database-focused MCP server for querying PostgreSQL from AI assistants and agents.

Browser automation MCP server for page inspection, screenshots, and UI testing workflows.

Runs SQL analysis, explains metrics, and creates reporting summaries from warehouse data.

Connect AI assistants to repositories, issues, pull requests, Actions, and code search.

Connect agents to Supabase databases, auth, storage, edge functions, and project metadata.

Connect assistants to Stripe customers, subscriptions, invoices, payments, and billing data.

Local file access MCP server for reading, writing, and organizing project files.

Inbound lead enrichment, scoring, Slack routing, and CRM handoff workflow.

Give agents access to Linear issues, roadmaps, cycles, projects, and product planning context.

Scores inbound leads, enriches account context, and routes high-intent prospects.

Expose Slack channels, users, messages, and team communication context to AI assistants.

Search pages, databases, docs, and workspace knowledge from Notion-aware agents.

Support automation agent for triage, knowledge retrieval, draft replies, and escalation routing.

Turns research, issues, and customer signals into PRDs, roadmap notes, and release briefs.

Weekly research digest automation for sources, summaries, issue links, and roadmap context.

Routes support messages, drafts responses, and escalates urgent customer issues.

Recurring SQL analysis workflow for metrics, anomalies, dashboards, and executive summaries.

Lightweight local SQLite connector for agent analysis, prototypes, and offline data workflows.

Query MySQL databases from agents and assistants with schema-aware context.