"Exploring a GitHub repository and creating a detailed flowchart of its functionality" matching MCP servers:

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

Enables AI assistants to manage Redmine issues, projects, time tracking, wiki, and files via the MCP protocol.

Enables interaction with the Huntress SAT API to manage security awareness training, including learners, phishing campaigns, and training assignments. It supports OAuth2 authentication and optional role-based access control for secure organizational management.

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

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

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

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.

A small MCP server that lets AI agents create, search, and update ServiceNow incidents through the Table API.

Enables AI agents to manage DokuTrak document requests, including creating and sending requests, chasing rejected files, checking status, and downloading collected documents.

Routes tasks from AI agents to human workers via webhook providers with smart matching, fallback chains, and proof-of-completion tracking.

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

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.

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

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.

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

Enables AI agents to query a local bakery's hours, menu, custom-order availability, and submit demo inquiries through a clean MCP interface.

A prompt-injection-aware MCP server demonstrating guardrails for agentic tool use, including permission tiers, untrusted-content quarantine, and heuristic injection detection, with a fictional ticket-triage assistant.

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.