"How to get information about Telegram channels" matching MCP servers:

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.

Enables interaction with HubSpot CRM through MCP, providing tools to manage contacts, companies, deals, and search/associations via natural language.

Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.

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.

Enables AI clients to seamlessly take HubSpot actions and interact with HubSpot data, allowing users to create/update CRM records, manage associations, and gain insights through natural language.

Enables AI agents to read from and write to HubSpot CRM using upsert and get lead profile tools, with Google Cloud Run authentication and secret management.

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.

A server implementation that enables AI assistants to interact with HubSpot CRM data, allowing for seamless creation and management of contacts and companies, retrieval of activity history, and access to engagement data through natural language commands.

A Machine Conversation Protocol server that enables AI assistants to manage Google Contacts and search Google Workspace directories, providing tools for listing, creating, updating, and deleting contacts within your Google account.

Provides access to Instantly API v2 for email campaign and lead management functionality.

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.

MCP server for VTENext CRM (open-source vtiger-based). Query, create and update opportunities and contacts via natural language using the VTENext WebService API. Supports list, search, get, create, update on Potentials and Contacts modules, plus raw VTQL queries.

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.

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.