"Information about draw.io diagramming tool" matching MCP servers:

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

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

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

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.

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.

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

Enables interaction with Monobank personal accounts through MCP tools to fetch client information, account details, and transaction statements for specified time periods.

Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.

A Model Context Protocol server for Hatch API integration that provides tools for finding and verifying contact information including emails, phone numbers, LinkedIn profiles, and company data.

Enables interaction with the Terros platform's User API to manage and retrieve user profiles. Users can fetch authenticated account details, list users with filters, and lookup specific user information by ID.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

An MCP adapter that maps Coffee Company B2B HTTP APIs to MCP tools, allowing AI agents to query member information, benefits, coupons, and payment statuses. It enables seamless integration for AI assistants to manage coffee-related customer assets and loyalty details through natural language.

Provides integration between Hunter API and LLM providers supporting the MCP protocol, allowing natural language interaction with Hunter B2B data for finding and managing company and people information.

Connects AI coding assistants to AIVA's customer intelligence and Shopify store data for managing subscriptions, affiliate tracking, and customer analytics. It enables direct access to RFM segments, churn predictions, and product information through the Model Context Protocol.

Enables interaction with Salesforce organizations through SOQL queries, object discovery, and metadata inspection. Provides seamless access to Salesforce data and schema information through the Salesforce CLI.

Connects the Pipedrive API v2 to LLM applications, providing read-only access to CRM data including deals, contacts, and pipelines. It enables users to search and retrieve organization information, activities, and notes through natural language.

A Model Context Protocol server that enables integration with the Teamtailor API, allowing users to list, filter, and retrieve candidate information from their Teamtailor recruitment platform.

Enables AI assistants to securely access and interact with Simplicate business data including CRM, projects, timesheets, and invoices through natural language. Supports searching across resources and retrieving detailed information about organizations, contacts, and project data.

Enables checking email addresses through the Email Social Media Checker API to verify and validate email information.

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.