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Spellbook Legal AI MCP Server for OpenAI Agents SDK 13 tools — connect in under 2 minutes

Built by Vinkius GDPR 13 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Spellbook Legal AI through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Spellbook Legal AI Assistant",
            instructions=(
                "You help users interact with Spellbook Legal AI. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Spellbook Legal AI"
        )
        print(result.final_output)

asyncio.run(main())
Spellbook Legal AI
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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.

The OpenAI Agents SDK auto-discovers all 13 tools from Spellbook Legal AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Spellbook Legal AI, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Spellbook Legal AI MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 13 tools from Spellbook Legal AI

Why Use OpenAI Agents SDK with the Spellbook Legal AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Spellbook Legal AI through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Spellbook Legal AI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Spellbook Legal AI MCP Server delivers measurable value.

01

Automated workflows: build agents that query Spellbook Legal AI, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Spellbook Legal AI, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Spellbook Legal AI tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Spellbook Legal AI to resolve tickets, look up records, and update statuses without human intervention

Spellbook Legal AI MCP Tools for OpenAI Agents SDK (13)

These 13 tools become available when you connect Spellbook Legal AI to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Spellbook Legal AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Spellbook Legal AI + OpenAI Agents SDK FAQ

Common questions about integrating Spellbook Legal AI MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Spellbook Legal AI to OpenAI Agents SDK

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