Tickets MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Tickets MCP Servercreate a high-priority ticket titled "Checkout page returns 500 error""
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-server-template
A small, production-minded starting point for a Model Context Protocol server in TypeScript.
Most MCP examples stop at "hello world". This one shows the decisions that matter once agents call your tools for real:
Swappable backend. Tools depend on a
Backendinterface, not on HTTP. The repo ships an in-memory store (used by default and in tests) and a REST adapter; replace either with your own API client without touching tool code.Errors the model can act on. Failures come back as tool results with
isError: trueand a message that says what to do next ("not found, uselist_ticketsto find valid ids"), not as protocol errors that end the call.Validated, described inputs. Zod schemas with bounds (
limit1–100, titles of 3–200 characters) and per-field descriptions, so bad calls are rejected before they reach the backend and the model knows what each argument means.Honest tool annotations.
readOnlyHint,idempotentHintanddestructiveHintare set per tool, so clients can auto-approve reads and ask before writes.Text and structured output. Each result carries a short text summary for the model and
structuredContentfor clients that render or chain results.Server instructions and a resource. The server tells the agent how its tools fit together, and exposes reference docs as an MCP resource.
Tests without a network. The whole client–server round trip runs over the SDK's in-memory transport.
Layout
src/
backend.ts Backend interface + InMemoryBackend + HttpBackend
tools/tickets.ts Tool definitions: schemas, annotations, error handling
server.ts createServer(backend): tools + resources, no transport
index.ts stdio entry point; picks the backend from env
test/
server.test.ts In-memory client ↔ server testsThe example domain is a minimal ticket tracker (list_tickets, get_ticket, create_ticket). Rename it to your domain and keep the structure.
Related MCP server: Ravenna MCP Server
Run it
npm install
npm test
npm run inspect # opens the MCP Inspector against the server
npm run buildUse it from Claude Code:
claude mcp add tickets -- node /absolute/path/to/mcp-server-template/dist/index.jsPoint it at a real API instead of the in-memory store:
claude mcp add tickets -e API_BASE_URL=https://api.example.com -e API_TOKEN=… -- node /absolute/path/to/dist/index.jsAdding a tool
Add the method to
Backendand implement it in both adapters.Register the tool in
src/tools/with a description written for the model, bounded Zod inputs and accurate annotations.Return
ok(text, structured)orfail(message). Never throw out of a handler.Add a test in
test/server.test.tsthat goes through the client.
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
AI-native task management: list, create, update and archive tasks with rich context for AI agents
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
Personal project management with AI agents: numbered tickets, statuses, files, a thread per ticket.
Personal project management with AI agents: numbered tickets, statuses, files, a thread per ticket.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.-

Ravenna MCP Serverofficial
FlicenseAqualityDmaintenanceAllows LLMs to create, update, and retrieve tickets directly from the Ravenna help desk platform.46 npm1-- FlicenseNot gradedqualityCmaintenanceEnables ticket management and AI triage through Mistral-compatible models, with tools for creating, listing, retrieving, triaging, and updating support tickets.-
- FlicenseNot gradedqualityCmaintenanceEnables AI clients to access and manage an internal support ticket queue through MCP tools, resources, and prompts, including searching and viewing tickets, adding comments, closing tickets with confirmation, reading knowledge base articles, and viewing queue summaries over OAuth-secured Streamable HTTP.-