AI21 Studio MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AI21 Studio as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to AI21 Studio. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in AI21 Studio?"
)
print(response)
asyncio.run(main())
* 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 AI21 Studio MCP Server
Connect AI21 Studio to your AI agent and unlock access to the powerful Jamba models alongside a suite of highly-specialized linguistic tools. Give your agent the ability to process texts with enterprise-grade precision via natural conversation.
LlamaIndex agents combine AI21 Studio tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Chat & Instruct — Generate chat completions natively utilizing AI21's advanced Jamba models
- Summarization — Produce accurate and concise summaries of long text payloads instantly
- Paraphrasing — Rewrite text passages into different specific styles (general, casual, formal, long, short)
- Grammar & Spelling — Catch and correct grammatical and spelling errors using AI21's dedicated correction engine
- Text Segmentation — Split continuous text into distinct sentences based on complex grammatical boundaries
- Embeddings — Convert pieces of text into high-dimensional numerical embeddings for RAG workflows
The AI21 Studio MCP Server exposes 7 tools through the Vinkius. Connect it to LlamaIndex 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 AI21 Studio to LlamaIndex via MCP
Follow these steps to integrate the AI21 Studio MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 7 tools from AI21 Studio
Why Use LlamaIndex with the AI21 Studio MCP Server
LlamaIndex provides unique advantages when paired with AI21 Studio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AI21 Studio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AI21 Studio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AI21 Studio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AI21 Studio tools were called, what data was returned, and how it influenced the final answer
AI21 Studio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AI21 Studio MCP Server delivers measurable value.
Hybrid search: combine AI21 Studio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AI21 Studio to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AI21 Studio for fresh data
Analytical workflows: chain AI21 Studio queries with LlamaIndex's data connectors to build multi-source analytical reports
AI21 Studio MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect AI21 Studio to LlamaIndex via MCP:
chat_completion
g., jamba-1.5-large, jamba-1.5-mini) and the conversation messages as a JSON array. Generate chat completions using AI21 Jamba models
embed_texts
Pass a JSON array of texts and specify whether they are for "query" or "document". Generate text embeddings using AI21 Studio embeddings
grammar_corrections
Perform Grammatical Error Correction (GEC) on text
paraphrase
Available styles: general, casual, formal, long, short. Paraphrase text using AI21 Studio
segmentation
Segment texts into sentences using AI21 Studio process
summarize
Text length must depend on API limits. Summarize long texts using AI21 Studio process
text_completion
Generate text completions using AI21 Studio models
Example Prompts for AI21 Studio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AI21 Studio immediately.
"Paraphrase this paragraph into a highly formal tone."
"Run a grammatical error correction over my draft and output the fixed version."
"Segment this long block of text into individual sentences."
Troubleshooting AI21 Studio MCP Server with LlamaIndex
Common issues when connecting AI21 Studio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAI21 Studio + LlamaIndex FAQ
Common questions about integrating AI21 Studio MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect AI21 Studio with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AI21 Studio to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.