NitroStack Hackathon Starter
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., "@NitroStack Hackathon Startercalculate 5 + 3"
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.
NitroStack × Amrita Hackathon Starter
A verified, event-ready base for building a TypeScript MCP server with the official NitroStack SDK. The included calculator module is a working reference, not the final hackathon idea.
Live deployment
Service documentation: https://nitrostack-hackathon-starter-6a63c210-vedangs-org-ddf9f8a5.app.nitrocloud.ai
Streamable MCP endpoint: https://nitrostack-hackathon-starter-6a63c210-vedangs-org-ddf9f8a5.app.nitrocloud.ai/mcp
NitroCloud app: https://cloud.nitrostack.ai/apps/6a63c210b7c23ca10dce7c5e
The service runs MCP protocol 2025-06-18. A live smoke test initializes the
server, lists both tools, and executes 5 + 3 = 8.
Related MCP server: NitroStack Calculator MCP Server
Ready on this laptop
Node.js 20.18.1 and npm 10.8.2
Git and GitHub CLI
VS Code
NitroStudio 1.4.14
Official NitroStack CLI 1.0.15 installed globally
Official
typescript-startertemplateRoot and widget dependencies installed
Local build, preflight checks, and GitHub Actions CI
Idea, build, security, submission, and three-minute demo templates
Start here
Complete the short account checklist.
Fill in the one-page idea brief with your team.
Replace the calculator example with the smallest end-to-end version of your chosen idea.
Run:
npm run devIn NitroStudio, choose Add Server → Nitro Project, select this folder, and open Studio App Canvas.
Before every push:
npm run checkProject map
src/
├── index.ts
├── app.module.ts
├── health/
├── modules/
│ └── calculator/ # Replace with your MVP module
└── widgets/
└── app/
docs/
├── IDEA.md
├── BUILD_PLAN.md
├── MANUAL_ACCOUNT_STEPS.md
├── PIZZA_REFERENCE_WORKFLOW.md
├── SUBMISSION_CHECKLIST.md
└── DEMO_SCRIPT.md
scripts/
└── preflight.mjsCommands
Command | Purpose |
| Start the MCP server and widget dev server |
| Build the production bundle |
| Build, exercise the MCP server, and run preflight checks |
| List and call MCP primitives through STDIO |
| Audit server and widget dependency trees |
| Run the built production server |
| Upgrade NitroStack packages |
Non-negotiable event rules
Use the official NitroStack TypeScript SDK throughout the project.
Align the idea with an organizer-approved track.
Keep
mainworking and deployable.Deploy early to NitroCloud and test the live service after major changes.
Never commit
.env, API keys, tokens, passwords, credentials, private keys,node_modules, or large binaries.Keep the repository public through judging.
Submit the live NitroCloud deployment, complete GitHub repository, and a demo video no longer than three minutes through the organizer-provided account.
See SUBMISSION_CHECKLIST.md for the full gate.
Official links
Available Tools
2 toolscalculateC
Perform basic arithmetic calculations
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | First number | |
| b | Yes | Second number | |
| operation | Yes | The operation to perform |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description bears full responsibility. It states it performs calculations but omits potential side effects like division-by-zero errors or whether the tool is read-only, leaving behavior ambiguous.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using only four words to convey the entire purpose. There is no redundancy or unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description lacks essential context such as the return format, error handling, or precision of results. Given no output schema and no annotations, the tool is incomplete for an agent to fully understand behavior without additional inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema descriptions cover all parameters, giving a baseline of 3. The tool description itself adds no extra meaning beyond the schema, but the schema already defines 'a', 'b', and 'operation' sufficiently for basic arithmetic.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool performs basic arithmetic calculations, which is a specific action. It distinguishes itself from sibling tools like convert_temperature by being generic, though it lacks detail on exact operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives such as convert_temperature. There is no mention of typical use cases or conditions for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
convert_temperatureC
Convert temperature units based on file content or direct input. Supports Celsius (C) and Fahrenheit (F).
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Temperature value to convert | |
| to_unit | No | Unit to convert to (C or F) | |
| file_name | Yes | Name of the uploaded file | |
| file_type | Yes | MIME type of the uploaded file | |
| from_unit | No | Unit to convert from (C or F) | |
| file_content | Yes | Base64 encoded file content. Will be injected by system. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states the tool works 'based on file content or direct input', but the schema requires file_name, file_type, and file_content for all invocations, making direct input impossible without dummy file data. This contradiction is misleading and fails to disclose the actual required behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, short sentence that gets to the point quickly. It could be slightly more explicit about the file/direct input behavior, but overall it is concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description lacks necessary context about the relationship between the file parameters and the temperature conversion parameters, especially given the required fields. There is also no explanation of output format or behavior when both file and direct input are provided, leaving the tool's usage incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All parameters have descriptions, so schema coverage is complete, meeting the baseline. However, the descriptions are minimal, and the file-related parameters are confusing because they are marked required even for 'direct input' and provide no clarity on their purpose or interaction with the value/from_unit/to_unit parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool converts temperature units between Celsius and Fahrenheit, identifying the specific verb and resource. However, the mention of 'file content or direct input' introduces some ambiguity about the exact mode of operation, slightly detracting from full clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling tools like 'calculate' or 'upload-and-analyze'. The description only explains what the tool does, not the scenarios in which it should be preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v1.0.0- First observed
calculate - First observed
convert_temperature
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one handles general arithmetic and the other handles temperature conversion. There is no overlap or ambiguity between them, so an agent can easily select the correct tool.
Both tool names follow a consistent verb_noun pattern: 'calculate' and 'convert_temperature'. Both use lowercase with underscores, maintaining a predictable naming convention across the set.
With only two tools, the server feels very thin for a 'Hackathon Starter' name, which suggests a broader utility toolkit. This makes the count borderline, though it is still functional for basic needs.
The server appears to aim at providing math utilities, but it only offers basic arithmetic and temperature conversion. There are significant gaps such as length/weight conversions, currency conversion, or more advanced math functions, leaving the surface severely incomplete for a general-purpose starter kit.
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