"Database connection and data query assistance" matching MCP servers:

Enables executing SQL queries against Salesforce Data Cloud from Cursor, with tools to list tables and describe table structure.

Enables AI assistants to query and interact with Treasure Data through a secure interface, supporting SQL queries, database exploration, CDP segment management, and workflow monitoring across multiple regions.

Provides read-only tools to search customers, orders, and business documents across PostgreSQL, JSON CRM, and Markdown sources, with tenant isolation, PII masking, and auditable access.

Enables Claude Desktop to answer natural-language questions about customers by exposing search, profile, order history, status filter, and spend statistics tools backed by local mock data, with a single-file swap path to Oracle AI Agent Studio later.

A sovereign, high-speed, local-first Big Data Ingestion, Filtering, and Analytical Pipeline Orchestrator.

Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.

A read-only MCP server for securely querying MongoDB and Firestore to access customer and order data.

Provides comprehensive access to People Data Labs' data models and search capabilities, enabling enrichment of person and company profiles, multi-criteria searches, and autocomplete functionality through a Model Context Protocol interface.

Enables AI-driven data quality operations such as validation, enrichment, and deduplication for customer data fields including email, address, phone, and LinkedIn profiles through natural language interactions.

Get programmatic access to 170,000+ verified B2B companies in Spain. Featuring a highly-curated premium subset of 26,000+ CEO direct dials and mobile phones. Bypassing legacy corporate gatekeepers has never been cheaper.

Production-ready MCP server enabling AI assistants to interact with Braze's customer engagement platform, offering 92 tools for user management, messaging, campaigns, analytics, email/SMS, catalogs, and SCIM provisioning.

Enables asking questions in plain language to explore loyalty and promo data through Voucherify API endpoints.

An unofficial, read-only MCP server for Mercury business banking. It holds one read-only API token per organization, so a single AI session can work across several Mercury organizations; Mercury's own connector binds one organization per connection.

Provides access to Gong.io sales conversation data, enabling users to query calls, retrieve transcripts, list users, and search calls with date filtering and pagination.

Read-only, PII-masked MCP server for querying data federated through DuckDB — list sources/tables, inspect schemas, and run SQL across Postgres, MySQL, SQLite, Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract. Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract.

Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.

Enables teams to automate certificate issuance and query engagement data from the thatsme platform via AI-powered tools like search_events and issue_certificates.

An MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata for querying, modifying, and managing objects and records.

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

MCP server for Postscript SMS marketing platform, enabling AI agents to query subscribers, look up opt-in keyword IDs, add new subscribers with consent, list campaigns, and check audience segment sizes.