"Development-related MCP resources" matching MCP servers:

Read-only MCP server for querying Creatio support cases and related entities via OData API, with entity allowlist and row limits for safe access.

Enables AI assistants and signed-in support staff to search and read customer tickets, add internal notes, issue refunds under per-scope and per-customer limits, and export ticket data over a remote, OAuth-protected Streamable HTTP endpoint. Tool lists, resources, prompts, and write operations are gated by bearer tokens and audience-bound scopes so that refund and export actions stay bounded.

A fully-featured MCP server with API-key authentication, demonstrating realistic e-commerce tools, resources, and prompts.

Enables building and evaluating shopping/support agents against a deterministic synthetic retail store with in-memory fixtures. Provides tools, resources, and prompts for product search, cart and order flows, inventory, and policy retrieval over stdio or Streamable HTTP.

Enables API documentation lookup and live API tools for managing Upmind platform resources like brands, products, clients, invoices, and tickets through natural language.

Enables Claude to manage customers and support tickets through database-backed CRUD tools, contextual customer and knowledge resources, and a reusable ticket-triage prompt.

Connect Claude AI to ServiceNow with 19 tools and 5 resources for incidents, CMDB, update sets, and more, accessible from any MCP client over stdio or Streamable HTTP.

Connects an MCP-compatible agent to a real Instagram, WhatsApp, or Messenger inbox, exposing 29 tools, 11 playbook prompts, and 2 resources for reading and writing conversations, messages, contacts, templates, journeys, campaigns, comments, and tickets. Includes guided zero-key setup, plan recommendation, and destructive-action hints so cautious agents can confirm state-changing operations.

An MCP server that allows AI models to securely access and manage WeChat Cloud-based reservation data. It provides tools for querying records, updating appointment statuses, and deleting entries through the WeChat Cloud Development API.

A Model Context Protocol server that provides calculator operations, n8n workflow automation, customer support resources, and content creation prompts.

Give AI agents a real phone number and voice. Make calls, send email, manage contacts — 26 tools, 12 resources.

Provides LLMs with access to the DoiT API for managing cloud resources, analyzing costs, and handling support tickets via natural language.

Exposes a support-desk application through MCP tools and resources with populate/snapshot/restore hooks for reproducible RL training episodes.

Enables AI assistants to fully access and manage SyncroMSP resources including tickets, customers, assets, invoices, and over 30 resource types through 180+ API endpoints.

Enables AI agents to interact with Genesys Cloud platform through MCP tools, resources, and prompts, supporting queues, conversations, users, presence, and analytics with production-ready features like Streamable HTTP and per-request authentication.

Enables AI assistants to find and read customer conversations, look up profiles, send replies, manage workspace metadata, and handle daily support workflows. It also supports triage, drafting, escalation, and handover tasks through MCP tools, prompts, and resources.

CallHub MCP is a Python-based tool that allows you to interact with the CallHub API through Claude. This tool provides a comprehensive set of functions for managing contacts, phonebooks, agents, teams, campaigns, and other CallHub resources.

Enables building and managing Genesys Cloud resources—such as queues, skills, users, Architect flows, outbound campaigns, and agentic virtual agents—through natural language from any MCP client, including diagramming and publishing via Genesys' own pipelines.

Lets AI assistants design and provision Twilio contact-center infrastructure such as TaskRouter workspaces, activities, queues, workflows, and Studio IVR drafts from natural-language requests. All writes require confirmation, while dangerous actions like deleting resources, sending messages, buying numbers, pointing numbers, or starting calls remain blocked.

Enables AI assistants to build and manage Genesys Cloud resources such as queues, skills, users, wrap-up codes, and Architect flows through natural language, including flow diagramming and server-side publishing.