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Spellbook Legal AI MCP Server for VS Code Copilot 13 tools — connect in under 2 minutes

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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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Classic Setup·json
{
  "mcpServers": {
    "spellbook-legal-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Spellbook Legal AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Spellbook Legal AI MCP Server

Connect to Spellbook Legal AI and bring AI-powered contract drafting, review, and analysis to any AI agent. Trusted by 4,000+ in-house teams and law firms worldwide, Spellbook helps transactional lawyers draft and review contracts faster and more accurately.

GitHub Copilot Agent mode brings Spellbook Legal AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 13 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Contract Analysis — AI-powered review of contracts identifying risks, missing clauses, non-standard terms, and issues
  • Clause Suggestions — Get AI-generated clause suggestions based on market standards and best practices
  • Contract Comparison — Compare two contract versions to identify additions, deletions, and modifications
  • Market Comparison — Compare contract terms against 2,000+ market precedents showing pro-buyer, pro-seller, and market-standard positions
  • AI Clause Drafting — Generate AI-drafted clauses based on specified requirements, jurisdiction, and party position
  • Contract Summarization — Generate concise summaries highlighting key terms, obligations, and risks
  • Risk Assessment — Get comprehensive risk assessments with high, medium, and low risk issues and remediations
  • Playbook Compliance — Check contracts against company playbooks to identify deviations from standards
  • Clause Library Search — Search Spellbook's extensive clause library for standard, market-tested clauses
  • Document Management — Upload, list, and search contract documents with filtering by status and type

The Spellbook Legal AI MCP Server exposes 13 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 Spellbook Legal AI to VS Code Copilot via MCP

Follow these steps to integrate the Spellbook Legal AI MCP Server with VS Code Copilot.

01

Create MCP config

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

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

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

04

Start using Spellbook Legal AI

Ask Copilot: "Using Spellbook Legal AI, help me..."13 tools available

Why Use VS Code Copilot with the Spellbook Legal AI MCP Server

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

01

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

02

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

03

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

04

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

Spellbook Legal AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Spellbook Legal AI MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Spellbook Legal AI MCP Tools for VS Code Copilot (13)

These 13 tools become available when you connect Spellbook Legal AI to VS Code Copilot via MCP:

01

analyze_spellbook_contract

USE WHEN: - User wants to review a contract for risks - User needs to identify issues in a contract - User asks to "analyze this contract" or "review for risks" PARAMETERS: - document_id (REQUIRED): ID of the document to analyze - analysis_type (OPTIONAL): Type of analysis — "full" (default), "risks_only", "clause_check", "market_comparison" EXAMPLES: - "Analyze document 123 for risks" → call with document_id="123" - "Review this contract for issues" → call with document_id="123", analysis_type="full" - "Check clauses in document 456" → call with document_id="456", analysis_type="clause_check" Analyze a contract document for risks, issues, and suggestions

02

check_spellbook_playbook

Check contract compliance against a playbook

03

compare_spellbook_contracts

USE WHEN: - User wants to compare two versions of a contract - User needs to identify changes between drafts - User asks to "compare these contracts" or "show differences" PARAMETERS: - document_id_1 (REQUIRED): ID of the first document - document_id_2 (REQUIRED): ID of the second document - comparison_type (OPTIONAL): Type of comparison — "full" (default), "clauses_only", "risk_comparison" EXAMPLES: - "Compare documents 123 and 456" → call with document_id_1="123", document_id_2="456" - "Show differences between contract versions" → call with document_id_1="123", document_id_2="456", comparison_type="full" Compare two contract versions to identify differences

04

draft_spellbook_clause

USE WHEN: - User needs to draft a new clause for a contract - User wants AI to generate standard clause language - User asks to "draft a limitation of liability clause" or "write an indemnification clause" PARAMETERS: - clause_type (REQUIRED): Type of clause to draft (e.g. "Limitation of Liability", "Indemnification", "Confidentiality") - party_position (OPTIONAL): Which party position to draft for — "neutral" (default), "pro-buyer", "pro-seller", "pro-vendor" - jurisdiction (OPTIONAL): Jurisdiction for the clause (e.g. "New York", "Delaware", "California", "UK") - custom_instructions (OPTIONAL): Additional instructions or requirements for the clause EXAMPLES: - "Draft a limitation of liability clause" → call with clause_type="Limitation of Liability" - "Draft a pro-buyer indemnification clause for New York" → call with clause_type="Indemnification", party_position="pro-buyer", jurisdiction="New York" - "Write a confidentiality clause with custom instructions" → call with clause_type="Confidentiality", custom_instructions="Include data breach notification requirements" Draft a contract clause using Spellbook AI

05

get_spellbook_clause_suggestions

Get AI clause suggestions for a contract document

06

get_spellbook_document

Get detailed information for a specific contract document

07

get_spellbook_market_comparison

Shows pro-buyer, pro-seller, and market-standard positions. Get market comparison data for a specific clause type

08

get_spellbook_risk_assessment

Get a detailed risk assessment for a contract document

09

list_spellbook_documents

Supports filtering by status, document type, and date range. USE WHEN: - User wants to see all their contract documents - User needs to find contracts by status or type - User is exploring their document library - User asks "what contracts do I have" or "list my documents" PARAMETERS: - status (OPTIONAL): Filter by document status (e.g. "Draft", "In Review", "Finalized") - document_type (OPTIONAL): Filter by document type (e.g. "NDA", "MSA", "SOW", "Employment Agreement") - date_from (OPTIONAL): Start date filter (YYYY-MM-DD) - date_to (OPTIONAL): End date filter (YYYY-MM-DD) - page (OPTIONAL): Page number for pagination - page_size (OPTIONAL): Results per page (default: 25, max: 100) EXAMPLES: - "List all my contract documents" → call with no params - "Show contracts in review" → call with status="In Review" - "List NDAs" → call with document_type="NDA" List all contract documents in Spellbook

10

search_spellbook_clause_library

Search the Spellbook clause library for standard clauses

11

search_spellbook_documents

Search contract documents by keyword

12

summarize_spellbook_contract

Generate an AI summary of a contract document

13

upload_spellbook_document

USE WHEN: - User wants to upload a new contract for review - User needs to analyze a contract received from another party - User asks to "upload this contract" or "analyze this document" PARAMETERS: - file_name (REQUIRED): Name of the document file - file_content (REQUIRED): Base64-encoded file content or document text - document_type (OPTIONAL): Type of document (e.g. "NDA", "MSA", "SOW") EXAMPLES: - "Upload this NDA for review" → call with file_name="NDA.pdf", file_content="[base64 content]", document_type="NDA" - "Analyze this MSA contract" → call with file_name="MSA.docx", file_content="[base64 content]", document_type="MSA" Upload a contract document to Spellbook for analysis

Example Prompts for Spellbook Legal AI in VS Code Copilot

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

01

"Analyze this NDA for risks and issues."

02

"Draft a pro-buyer limitation of liability clause for Delaware."

03

"Compare the market standard for indemnification clauses."

Troubleshooting Spellbook Legal AI MCP Server with VS Code Copilot

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

01

MCP tools not available

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

Spellbook Legal AI + VS Code Copilot FAQ

Common questions about integrating Spellbook Legal AI MCP Server with VS Code Copilot.

01

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.
02

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.
03

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.
04

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.

Connect Spellbook Legal AI to VS Code Copilot

Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.