onboard-context-matic

Guides an interactive tour of the context-matic MCP server tools and available APIs.

Updated Jun 9, 2026
One-click install
npx skills add https://github.com/apimatic/plugin-marketplace --skill onboard-context-matic-apimatic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onboard-context-matic
Source: https://github.com/apimatic/plugin-marketplace/tree/main/plugins/context-matic/skills/onboard-context-matic
Command: npx skills add https://github.com/apimatic/plugin-marketplace --skill onboard-context-matic-apimatic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI coding agents guess at SDK usage from outdated training data, and developers often don't know what an MCP server can do or which APIs it covers. This Skill walks first-time users through the context-matic MCP server so they understand its tools and available APIs before integrating anything. ## Core Features & Use Cases - Guided Tool Walkthrough: Explains the four core tools (fetch_api, ask, model_search, endpoint_search) with concrete usage scenarios and expected outputs. - Language-Aware API Discovery: Detects the project's programming language from workspace files (package.json, .csproj, pom.xml, etc.) and lists all APIs available for that language. - Live Demonstrations: Demonstrates model_search and endpoint_search on a user-selected API, showing typed model properties and runnable endpoint code samples. - Use Case: A developer just installed the context-matic MCP server in their TypeScript project and asks "what can this MCP do?" The agent detects TypeScript, lists available APIs, lets them pick PayPal, and demonstrates live model and endpoint lookups. ## Quick Start Ask your agent to onboard you to context-matic or give you a tour of the context-matic MCP server.

Frequently Asked Questions about onboard-context-matic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I see what APIs are available in the context-matic MCP server?▼

Ask your agent to show the available APIs or start the onboarding tour. The agent detects your project language from workspace files and calls fetch_api with that language and an empty key to return the full API catalog.

What tools does the context-matic MCP server provide?▼

The server provides four core tools: fetch_api lists or matches APIs by key and language, ask answers integration questions with version-accurate guidance, model_search looks up SDK model definitions, and endpoint_search returns endpoint parameters and runnable code samples.

How does the onboarding tour detect my project language?▼

The agent inspects workspace files: package.json indicates TypeScript, .csproj or .sln indicates C#, requirements.txt or pyproject.toml indicates Python, pom.xml or build.gradle indicates Java, and similar markers cover Go, Ruby, and PHP. If nothing is found, it falls back to TypeScript.

Does the context-matic onboarding tour modify my project?▼

No. All tool calls during the tour are read-only. The agent does not install packages, write files, or run shell commands unless you explicitly ask it to proceed with an actual integration afterward.

What happens if I pick an API that is not in the context-matic catalog?▼

The agent tells you the API is not currently available through the server and offers to continue the tour with one of the APIs that is available. It does not guess keys or call tools with unverified identifiers.

When should I use integrate-context-matic instead of the onboarding tour?▼

Use integrate-context-matic when you want to actually integrate an API end-to-end in your project. The onboarding tour is only for first-time exploration, learning what the server does, and seeing live tool demonstrations.