"Creating a Postgres MCP server in Python" matching MCP servers:

Enables natural language queries for device support, including resolving device references, retrieving device details, historical metrics, and checking provisioning status. Maintains conversation context for multi-turn interactions.

A versatile MCP server providing tools for arithmetic operations, n8n webhook integration, and access to a customer support playbook resource. It also includes specialized prompt templates for converting webinar transcripts into engaging blog posts.

Provides a versatile MCP server with calculator tools, webhook integration for n8n workflows, a customer support playbook resource, and a webinar-to-blog prompt template.

Enables voice assistants to find nearby service providers, connect users to live video representatives for natural conversation, and handle appointment booking. It also returns confirmed bookings so the assistant can add them to its calendar.

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

A Model Context Protocol server that enables searching, retrieving, creating, and updating issues and tickets using DevRev APIs.

Enables searching, retrieving, creating, and updating issues and tickets in DevRev using natural language.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

FastMCP cloud server enabling AI assistants to manage outbound call campaigns, schedule calls, list agents, and access call data via HTTP.

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

MCP server for managing and composing customer replies for a phone and computer repair shop, with built-in templates and WhatsApp link generation. Supports Arabic and English.

Enables AI agents to audit and analyze Zendesk instances through a read-only MCP interface, providing tools for triggers, automations, analytics, and cross-reference queries.

MCP server providing tools to search Red Hat KCS solutions, retrieve solution details, search cases, and get case details via Red Hat APIs.

Exposes support case reasoning tools — generate structured case briefs and check escalation readiness from any MCP-compatible AI client.

Enables LLMs to interact with WhatsApp via the official WhatsApp Cloud API, providing tools for sending messages, templates, media, and managing conversations.

A production-grade MCP server for Zendesk that provides ticket management, search, user/group operations, and knowledge base access with support for local stdio and remote HTTP transports, authentication via API keys or OAuth, and multi-tenancy.

MCP server for LobsterMail — gives AI agents email tools. Create inboxes, send and receive email, search messages, and manage webhooks.

Enables managing ServiceNow incidents through the Table API, including querying, creating, updating, and adding comments, with local stdio execution.

Enables LLMs to interact with Jira Cloud through the official REST API v3, supporting operations like creating issues, searching with JQL, fetching issue details, and managing transitions.