"Using Cline as a Knowledge Graph for Coding" matching MCP servers:

Enables AI assistants to search local Markdown customer-support knowledge and read cited source passages with line numbers, metadata, versions, and pagination, so replies can be grounded in verifiable original text.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

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.

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

Connects AI assistants to GLPI service desks so they can manage tickets, ITIL objects (problems and changes), assets, knowledge base articles, users, rules and webhooks through natural language. Works with GLPI 10 and 11 via REST API v1 and the GLPI 11 API v2, with read-only and delete guards, idempotent creates, and support for both local (stdio/HTTP) and hosted OAuth deployments.

Enables semantic search over knowledge-base articles and listing of sample support tickets using MCP tools.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Privacy-first Telegram MCP server enabling maintainers to triage chats, inspect context, search messages, draft replies, and send authorized messages locally without a cloud relay.

Gives Alexa+ voice access to track household insurance claims, refunds, repairs, and disputes, and to chase them via disclosed AI phone calls while keeping money and legal decisions with the human.

Enables AI clients to securely query and analyze Zoho Desk helpdesk data using natural language, translating prompts into structured queries and returning clean results.

Enables interaction with Zendesk Support for managing tickets, comments, and filtering via the Model Context Protocol. It allows LLMs to perform actions like creating, updating, and listing support tickets through natural language in a Heroku-native environment.

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

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

Enables AI clients to securely access and query Microsoft Dynamics 365 data through natural language, supporting data analysis, reporting, and business workflows.

Exposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.

Enables AI assistants to manage WhatsApp instances, send and receive messages, run campaigns, configure webhooks, manage team members, and view metrics through OAuth-secured MCP tools, with optional message replies on the user's behalf.

Enables AI-driven customer support ticket processing, including classification, response generation, and automated email sending and Google Sheets logging.

Enables retrieving and managing Zendesk tickets and comments, accessing Help Center articles as a knowledge base, and using specialized prompts for ticket analysis and response drafting.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Provides ServiceNow ITSM tools (incidents, knowledge, CMDB, user lookups) to AI agents, with an evaluation harness that measures tool-selection accuracy, task completion, and latency.

Enables MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.

Enables reading Apple App Store customer reviews, publishing developer responses, and deleting them via the App Store Connect API with a narrow Customer Support role.

MCP server for the WhatsApp Business API that enables managing business accounts, phone numbers, message templates, sending template messages, and tracking message status via the Meta Graph API.

Enables small-business AI assistants to answer customer questions about hours, offerings, FAQs, staff, and booking from a single business.yaml config, with industry-specific tools and guardrails.

Enables fetching and analyzing Zendesk support tickets and Help Center articles for trend analysis, knowledge base management, and drafting new articles.

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

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

Exposes the customer-support tool registry over stdio so Claude Desktop or Claude Code can look up customers and orders, track shipments, search help-center articles, update shipping addresses, issue policy-checked refunds and escalate to a human. It reuses the same pydantic validation, ownership and refund policy, approval gate and audit logging as the HTTP agent, with the customer identity taken from server configuration rather than the model.

Enables AI agents to manage a fictional B2B workspace SaaS (Tessera) with tools for ticketing, invoicing, customer management, and trial extensions, featuring a human-in-the-loop confirm pattern for safety.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Enables AI agents to search, browse, and retrieve articles from the Wealthsimple Help Center via 7 typed tools (search, taxonomy, article retrieval) using the public Zendesk API.

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.

Simulates a multi-tenant customer support backend with tools for profile, order, ticket, and refund management, demonstrating security controls like tenant isolation, role-based access, and input validation.

Enables AI agents to perform helpdesk tasks over MCP, including ticket management, knowledge base search, and reply drafting, with optional pay-per-action USDC settlement and human approval workflows.

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.

Enables AI assistants to triage an Atera help desk by ranking open tickets with plain reasons, summarizing site health and alerts, and producing a one-call morning brief. It redacts personal data, fences user-written text as untrusted, and stays read-only unless writes are explicitly enabled.

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

Enables monitoring, reporting, and resolving of customer support tickets through a set of read-oriented tools and a human-approved status update, using synthetic data generated locally via Ollama and stored in BigQuery.

MCP server that provides tools for order lookup, return eligibility checks, return processing, billing status, and human escalation, simulating a return/billing inquiry triage system using local JSON data.

Demo MCP server for booking confirmed sales appointments through Claude. Allows users to request appointments, check status, and get detailed BANT briefings using natural language, with realistic fake data for demonstration.