pathpilot-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., "@pathpilot-mcp-server calculate 15 divided by 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 Starter Template
Minimal template for learning NitroStack fundamentals with a calculator-focused MCP server and basic widgets.
What This Template Includes
calculatormodule with tools, resources, and promptsTypeScript + Zod validation setup
Widget-ready project structure
Production-friendly npm scripts
Related MCP server: amrita-companion-mcp
Quick Start
npx @nitrostack/cli init my-server --template typescript-starter
cd my-server
npm run devCommon Commands
npm run dev
npm run build
npm startNitroStudio
NitroStudio is the recommended way to test and debug this template during development.
Download: https://nitrostack.ai/studio
Studio: https://nitrostack.ai/studio
Links
Templates docs: https://docs.nitrostack.ai/templates/01-starter-template
Main repository: https://github.com/nitrocloudofficial/nitrostack
Community
Available Tools
6 toolsanalyze_evidence_profileA
Analyze a GitHub repository OR a GitHub user profile URL and generate a learning roadmap. If a GitHub profile URL is provided, automatically inspect the user's public repositories to infer skills.
Inputs: repo, options, pathway, profileRef, +1 more.
compare_profile_and_repository_skillsB
Identify self-reported LinkedIn skills that do / do not have matching GitHub evidence in the selected repository.
Inputs: repo (required), pathway, profileRef, useDemoLinkedIn.
generate_evidence_cardsA
Return UI-ready evidence cards with highlights, summaries, sources, and next-step suggestions. Accepts an analysisId from a prior run, or an analysis object.
Inputs: analysis, analysisId.
get_linkedin_profileB
Return user-authorized, normalized LinkedIn profile snapshot with declared skills, roles, education, certifications, and projects.
Inputs: useDemo, profileRef.
get_repository_snapshotA
Return a bounded, normalized repository snapshot (file tree, manifest, README, selected source content) without running the full analysis pipeline.
Inputs: repo (required), branch, options.
get_roadmap_signalA
Return verified/self-reported/partial/missing skill arrays plus the priority gap and a suggested next task from a prior analysisId or analysis object.
Inputs: analysis, analysisId.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
Each tool targets a distinct resource or stage of the analysis pipeline. The only potential confusion is between generate_evidence_cards and get_roadmap_signal, both of which consume an analysisId but produce different outputs; the descriptions make this clear.
All tool names follow a verb_noun pattern with underscores, which is consistent in style. The verbs vary (analyze, get, compare, generate) but are all action-oriented and the pattern is predictable.
Six tools is well within the ideal range for a specialized server. Each tool has a clear role in the workflow, and none are redundant or redundant-feeling.
The server covers the full lifecycle from raw profile/repo input to analysis and actionable outputs. Minor gaps exist, such as no explicit 'get full analysis' tool or list of prior analyses, but the core workflow is complete.
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