How do I find my AlgoDocs API Key?

Log in to AlgoDocs, go to your **Account Settings**, and you will find your API key there. You will need this along with your registered email for authentication.

What is an 'Extractor' in AlgoDocs?

An Extractor is a set of rules and AI models configured to pull specific fields from a certain type of document (e.g., an Invoice Extractor). You must specify an `extractor_id` when uploading documents.

Can I retrieve data from a previously processed document?

Yes! Use the `get_document_data` tool and provide the unique `document_id`. Your agent will retrieve the extracted structured data from AlgoDocs storage.

AlgoDocs MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: AlgoDocs
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install AlgoDocs and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "algodocs": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About AlgoDocs MCP Server

Connect your AlgoDocs account to your AI agent to unlock professional automated document extraction. From automatically parsing invoices, receipts, and complex tables to auditing extraction models (extractors) and managing folder hierarchies, your agent handles your data ingestion pipeline through natural conversation.

GitHub Copilot Agent mode brings AlgoDocs data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Document Ingestion — Upload and parse documents from public URLs or Base64 strings for high-accuracy JSON extraction
Extractor Oversight — List and retrieve details for your AI extractors to ensure the correct rulesets are applied to your docs
Data Auditing — Retrieve structured JSON results for individual documents or list extracted data in bulk for entire extractors
Folder Management — List and audit your folder hierarchy to organize your document processing projects
Usage Monitoring — Quickly retrieve account details and API usage statistics directly from your chat interface

The AlgoDocs MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AlgoDocs to VS Code Copilot via MCP

Follow these steps to integrate the AlgoDocs MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using AlgoDocs

Ask Copilot: "Using AlgoDocs, help me...". 10 tools available

Why Use VS Code Copilot with the AlgoDocs MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with AlgoDocs through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

AlgoDocs + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the AlgoDocs MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

AlgoDocs MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect AlgoDocs to VS Code Copilot via MCP:

get_api_usage

Get usage stats

get_document_data

Get parsed data

get_document_status

Check processing status

get_folder_details

Get folder metadata

get_my_account

Check account status

list_extractor_data

Bulk extraction results

list_extractors

List AI extractors

list_folders

List storage folders

list_recent_documents

List latest parsed docs

upload_document_from_url

Parse document from URL

Example Prompts for AlgoDocs in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with AlgoDocs immediately.

"List all extractors in my AlgoDocs account."

"Parse this invoice URL: https://example.com/inv.pdf using extractor ID 'ext_123'."

"Show the extracted data for document ID 'doc_98765'."

Troubleshooting AlgoDocs MCP Server with VS Code Copilot

Common issues when connecting AlgoDocs to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

AlgoDocs + VS Code Copilot FAQ

Common questions about integrating AlgoDocs MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.