AI Library MCP - Visual Studio Marketplace

What is AI Library MCP?

AI Library MCP

AI Library MCP connects your coding agent to AI Library's managed tool infrastructure through the Model Context Protocol.

Instead of wiring together search, document parsing, transcription, storage, vector search, and agent orchestration yourself, you install one MCP server and get a production-ready toolset inside your editor.

Quick Start

Get your API key from mcp.ailibrary.ai.
Install AI Library MCP from the VS Code Marketplace.
Open GitHub Copilot Chat and use any AI Library tool.
Enter your API key when VS Code prompts you.

VS Code + GitHub Copilot
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	AI Library MCP
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Search | Documents | Notes | Knowledge | Speech | Agents

Why use AI Library?

Without AI Library	With AI Library
Build and maintain your own app database stack	Managed production-grade storage
Stand up and tune your own vector database	Managed vector search and retrieval
Design RAG pipelines from scratch	Production-informed retrieval patterns
Stitch together document parsing services	Built-in document parsing optimized for LLMs and lower token usage
Integrate separate transcription providers	Built-in transcription
Assemble and tune web search workflows	Built-in web search
Manage tool orchestration yourself	Unified MCP tools for coding agents

Where can I use it?

AI Library MCP works with MCP-compatible coding agents.

GitHub Copilot in VS Code
Claude Code

Install

Go to mcp.ailibrary.ai and create your API key.
Fund your account. New signups receive credits to get started.
Install AI Library MCP in your coding agent of choice.

For GitHub Copilot in VS Code:

Install from the marketplace: https://marketplace.visualstudio.com/items?itemName=AILibrary.ai-library-mcp
On first use, the extension prompts you for your API key automatically.

For Claude Code:

claude mcp add ailibrary-mcp -e AI_LIBRARY_KEY=your_key_here -- npx -y @ailibrary/mcp

🧰 Key Skills

AI Library MCP exposes a focused set of managed tools for common coding-agent workflows. These tools are available through your MCP client and are backed by AI Library services.

Web and Documents

Tool	What it does
`websearch`	Search the web or images with optional filters such as domain, country, and time range
`read-documents`	Extract LLM-friendly text from documents and URLs
`upload-files`	Upload local files and return hosted URLs for downstream processing

Speech and Audio

Tool	What it does
`transcribe`	Convert audio files to text
`generate-speech`	Convert text into generated speech

Agents and Structured Workflows

Tool	What it does
`create-agent`	Create a managed AI agent with instructions and optional form schema
`get-agent`	Retrieve an existing agent by namespace
`update-agent`	Update an agent's instructions, model, knowledge, or form wiring
`chat-agent`	Chat with an existing agent and optionally receive structured output
`update-form`	Update a form schema used for structured responses

Knowledge Base

Tool	What it does
`agent-knowledge-add`	Add files or content to an agent knowledge base
`agent-knowledge-list`	List knowledge sources attached to an agent
`agent-knowledge-search`	Search across an agent's indexed knowledge
`delete-knowledge-sources`	Remove knowledge sources from an agent

Database

Tool	What it does
`notes-create`	Create a record attached to a resource
`notes-get`	Fetch a record by ID
`notes-list`	List records for a resource
`notes-update`	Update an existing record
`notes-delete`	Delete a record

File Storage

Tool	What it does
`upload-files`	Upload a file
`list-files`	List uploaded files
`delete-file`	Delete a file by ID

These tools let your coding agent search the web, parse documents, manage knowledge, store state, and interact with structured AI workflows without custom backend plumbing.

Why teams use it

Managed backend instead of custom glue code
Built-in tools for search, retrieval, parsing, notes, and audio
Structured agent workflows with forms and knowledge bases
Faster iteration inside the editor with fewer external integrations

Notes

This extension requires your AI Library API key from mcp.ailibrary.ai.
On first use, VS Code automatically prompts for your key via a password input box.
To set or rotate the key at any time: Ctrl/Cmd+Shift+P → AI Library MCP: Set API Key.
To remove the key: AI Library MCP: Clear API Key.
Keys are stored in VS Code Secret Storage and never written to settings.json.
Skills are bundled from ../ai-library-plugin/skills at build time.