"A tool for comparing design documents and source code, and accumulating business knowledge" matching MCP servers:

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.

AI-native, self-hostable private business card database for ChatGPT using Remote MCP with Firebase authentication and Cloudflare storage.

Multi-tenant, stateless MCP server for conversational business assistants, handling business resolution, knowledge search, and data mutations with human confirmation and security guardrails.

Demo MCP server that exposes order and customer data as read-only tools for AI assistants, simulating a business API or internal data source.

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 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.

An MCP to give AI agents extensive knowledge of your personal finances and control of your budgeting.

A lightweight server that uses ChatGPT to qualify leads using the BANT framework (Budget, Authority, Need, Timeline) through a conversational question-by-question approach.

Provides read-only access to the Planning Center People API, enabling natural language queries for people, households, background checks, and lists.

Enables AI agents to interact with Salesforce CRM data by executing SOQL queries and managing records. It provides tools for object metadata discovery and record operations, specifically optimized for Heroku deployment.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

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

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.

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 AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.

Read-only MCP server for Pipedrive that provides a digest-ready sales queue with overdue follow-ups, due today activities, and deals missing next action.

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.

Waterfall lead enrichment for AI agents. Cascades through Apollo, Clearbit, and Hunter to build the most complete lead profile in a single call.

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.