"Using PostgreSQL to Execute Queries" matching MCP servers:

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

MCP server that enables Google ADK agents to triage solar fault signals, retrieve Salesforce diagnostics via hosted MCP prompt templates, and create WorkOrder records when replacements are needed.

Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.

Enables secure, natural language access to private Cloud SQL PostgreSQL data for catering CRM management, exposing database CRUD operations as MCP tools via Cloud Run.

Enables natural language queries, CRUD operations, and analytics on a PostgreSQL database (Neon) via Claude, supporting customers, tickets, products, and analytics.

Acts as a bridge between Pickaxe Agents and Supabase PostgreSQL, exposing 15 MCP tools for the deathcare ecosystem.

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

Enables interaction with Attio CRM through natural language, using a Code Mode pattern where the LLM writes JavaScript to query the OpenAPI spec and call endpoints via three tools: search, execute, and context.

Enables AI assistants to interact with Salesforce organizations through project-based CLI integration, allowing execution of Apex, SOQL queries, object descriptions, and org management using local Salesforce DX project configurations.

Provides read-only access to Salesforce orgs via MCP, enabling SOQL queries, sObject descriptions, and object listing using OAuth 2.0 Client Credentials.

Enables AI tools to search and enrich B2B leads, including finding professional emails, company profiles, and filtering people and companies by various criteria.

Enables AI assistants to discover and invoke Vremly API operations through a search-describe-request pattern, allowing them to view and manage shoots, customers, media, and invoices according to API key permissions.

Enables checking CRM contacts to learn their current employer, title, start month, role history, and whether they left, landed elsewhere, or were promoted, returning one flat row per person with match method, source, and source age. It accepts single contacts or bulk lists, works with your own search, enrichment, and email-verification keys, and runs on Apify.

Enables AI agents to perform go-to-market workflows such as company and contact enrichment, CRM querying, and controlled, audited writes to a CRM through MCP tools callable from any MCP client.

Find prospects, verify their emails, spot buying signals, draft grounded outreach and stage campaigns, all from a conversation with your AI assistant, using your own API keys.

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

Free, open-source MCP server and CLI for the BaseLinker API, exposing two tools to call any API method and list methods with minimal context cost.

Connects your LinkedIn professional profile to AI assistants (Claude, GitHub Copilot) via LinkedIn's official Member Data Portability API, enabling read-only access to résumé data, activity, and recent changes.