"Natural language interface for PostgreSQL database querying" matching MCP servers:

Official Cursor plugin enabling natural-language management of your SideShift company—discovering creators, managing campaigns and contracts, communicating with your network, and inspecting analytics through a secure OAuth-linked MCP server.

Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.

Enables AI assistants to securely access and interact with Odoo data through natural language, supporting full CRUD operations, OAuth 2.1 and API key authentication, and granular per-model permissions.

Finds, filters, and verifies local-business leads on demand; every returned email carries a verification receipt (verifier, verdict, timestamp). Credit-based with per-key spend budgets; 25 free validated leads at signup.

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Freento MCP is a native Magento 2 extension that implements the Model Context Protocol (MCP) — an open standard for connecting AI assistants to external data sources. This server acts as a secure, direct bridge between your Adobe Commerce / Magento 2 store and LLM-powered assistants (like Claude, ChatGPT, and others), allowing you to manage and audit your store using natural language.

Enables AI clients to securely access and query Zoho CRM data using natural-language prompts, returning structured results for analysis and reporting. It supports sales pipeline tracking, lead analysis, team performance reporting, and other CRM use cases through self-hosted deployment.

Enables interaction with Salesforce orgs to perform operations like querying data with SOQL, managing records, and executing Apex code. It provides configurable access levels and support for both standard and Tooling APIs via natural language interfaces.

Integrates Claude with Salesforce for natural language interactions with Salesforce data and metadata, enabling querying, modifying, and managing objects and records.

Non-official MCP server for the Corymbus CRM, enabling natural language querying and modification of CRM data via MCP clients like Claude.

MCP server that connects to a sales CRM database, enabling AI agents to search prospects, view pipeline status, manage follow-ups, and update records using natural language commands.

Provides AI assistants with access to sales data from a Northwind-style database through GraphQL queries, enabling natural language requests for orders, customers, products, and analytics.

MCP server for Apollo.io B2B sales intelligence API. Enables searching and enriching people and organizations via natural language.

Enables natural language querying of marketing analytics across Google Search Console, GA4, Google Ads, HubSpot, and Bing. Provides tools for search queries, traffic, campaign performance, and composite cross-platform rollups.

Enables interaction with the Pylon API for managing accounts, issues, messages, and custom fields through natural language.

MCP server for Vertafore AMS360 WSAPI v3 that enables querying clients, policies, renewals, and activities through natural language.

MCP server for Shopify Admin API. Enables product, order, customer, and inventory management via natural language.

Exposes a Model Context Protocol interface to a growth and revenue API, enabling MCP clients to manage account data and interact with platform tools through natural-language-driven tool calls.

Enables managing IndiaMART buyer leads through natural language, including fetching, searching, analyzing, and updating lead pipeline stages.