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omnom62/freshdesk-mcp

omnom62/freshdesk-mcp

Self-hosted Freshdesk server: t
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add freshdesk-mcp -- npx -y freshdesk-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · omnom62/freshdesk-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 omnom62/freshdesk-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

freshdesk-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A self-hosted Model Context Protocol (MCP) server that exposes Freshdesk support data to MCP-compatible AI clients (Claude, Cursor, VS Code Copilot, etc.).
What it does
Connects your AI assistant directly to Freshdesk — search tickets, read conversations, extract text from attachments (including OCR for screenshots), and enrich results with status names, group names, and company IDs.
Available Tools
| Tool | Description |
|------|-------------|
| get_ticket | Fetch a single ticket by ID. Returns status name, group name, company ID. |
| get_ticket_summary | Ticket + all conversations + attachments in one call. |
| batch_get_ticket_summaries | Multiple ticket summaries in parallel. |
| search_tickets | Filter by query, status, priority, type, overdue, escalated, dates, company, requester, agent, group. Full ticket history. |
| list_tickets | All tickets with optional filters. |
| get_conversations | All replies and notes for a ticket (fully paginated). |
| list_attachments | All attachments across ticket and conversations. Filters scanning placeholders. |
| get_attachment_text | Extract text from docx, xlsx, json, txt, csv, png, jpg (Vision OCR). |
| query_attachment | Search within a JSON attachment. |
| find_image_attachments | Scan multiple tickets for image attachments. |
| get_description_images | OCR inline images in ticket description HTML and conversation replies. |
| find_requester | Search contacts by name/email → requester_id. |
| find_company | Search companies by name → company_id. |
| find_agent | Search agents by name/email → agent_id. ⚠️ Requires admin API key. |
| list_groups | List all agent groups → group_id. ⚠️ Requires admin API key. |
> **Note:** find_agent and list_groups use Freshdesk admin-only endpoints (/api/v2/agents, /api/v2/groups). They work if your API key belongs to an admin account. Regular agent API keys will receive a 403.
Prerequisites
- A Freshdesk account with API access
- Docker
- A GCP project with the Vision API enabled (optional — needed for image OCR only)
- A container runtime — Cloud Run, AWS App Runner, Azure Container Apps, or plain Docker
Configuration
| Variable | Required | Description |
|----------|----------|-------------|
| FRESHDESK_DOMAIN | yes | Freshdesk subdomain only — e.g. mycompany (not mycompany.freshdesk.com) |
| FRESHDESK_API_KEY | yes | Freshdesk API key. Find it at Profile → Profile Settings → API Key. |
| MCP_TOKEN | yes (HTTP mode) | Bearer token your MCP client sends in Authorization: Bearer . Generate any random secret. |
| GCP_VISION_PROJECT | no | GCP project ID for Vision OCR. If unset, image OCR tools return an error. |
| MCP_TRANSPORT | no | Set to http for HTTP transport (default in the Docker image). |
| PORT | no | HTTP port (default 8080). Set automatically by Cloud Run. |
Deployment
来源
awesome · https://github.com/omnom62/freshdesk-mcp
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