How do I get my Jasper API token?

You need a **Jasper Business plan** to access the API. Log in at **app.jasper.ai**, go to **Settings → Dev Tools → API Tokens** (direct link: app.jasper.ai/settings/dev-tools/tokens). Click **Generate** to create a new token. Copy it immediately and paste it below. Only users with **Admin** or **Developer** roles can manage API tokens. If you don't see the Dev Tools option, verify your account is on the Business plan or contact your Jasper account admin.

Can my AI agent write ad copy in my brand's voice?

Yes. Jasper's Brand Voice feature ensures all generated content matches your company's tone, vocabulary, and style guidelines. Your AI agent accesses your configured brand voices and applies them automatically — so copy for Google Ads, LinkedIn posts, and email campaigns all sound authentically like your brand.

What if I need variations for A/B testing?

Just tell your AI agent 'Generate 5 headline variations for my Google Ads campaign.' Jasper produces multiple distinct alternatives per request, each maintaining your brand voice but varying the angle, hook, or call-to-action — giving your growth team ready-to-test creative in seconds.

Is the Jasper Business plan required?

Yes. API access is exclusive to the Jasper Business plan. If you're currently on Creator or Teams, you'll need to upgrade. Contact the Jasper sales team through jasper.ai to discuss Enterprise pricing — most marketing teams find the ROI justifies the investment within the first month of automated content production.

Jasper MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Jasper
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Jasper as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Jasper. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Jasper?"
    )
    print(response)

asyncio.run(main())

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* 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 Jasper MCP Server

Connect Jasper to your AI agent and supercharge your marketing content production pipeline.

LlamaIndex agents combine Jasper tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

Content Generation — Generate blog posts, ad copy, social media captions, email sequences, and landing page copy with brand-consistent voice.
Brand Voice Management — Access and apply your configured brand voices, tone guidelines, and style rules to all generated content.
Template Library — Browse and execute Jasper's template library for specific content types (PAS framework, AIDA, email subject lines).
Campaign Orchestration — Generate multi-channel content variations from a single brief — ads, emails, and social posts in one request.

The Jasper MCP Server exposes 10 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 Jasper to LlamaIndex via MCP

Follow these steps to integrate the Jasper 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 10 tools from Jasper

Why Use LlamaIndex with the Jasper MCP Server

LlamaIndex provides unique advantages when paired with Jasper through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Jasper tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Jasper tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Jasper, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Jasper tools were called, what data was returned, and how it influenced the final answer

Jasper + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Jasper MCP Server delivers measurable value.

Hybrid search: combine Jasper real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Jasper 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 Jasper for fresh data

Analytical workflows: chain Jasper queries with LlamaIndex's data connectors to build multi-source analytical reports

Jasper MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Jasper to LlamaIndex via MCP:

generate_content

Supports tone and language. Generate AI content

get_brand_voice

Get brand voice details

get_campaign

Get marketing campaign details

get_usage

Get API usage stats

list_brand_styles

List brand styles

list_brand_voices

List brand voice profiles

list_campaigns

List marketing campaigns

list_knowledge_bases

List knowledge bases

list_templates

List content templates

run_template

Run a specific template

Example Prompts for Jasper in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Jasper immediately.

"Write 3 Google Ads headlines for our SaaS product launch."

"Generate an email subject line for our Black Friday campaign."

"Create a LinkedIn post announcing our new AI feature."

Troubleshooting Jasper MCP Server with LlamaIndex

Common issues when connecting Jasper to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Jasper + LlamaIndex FAQ

Common questions about integrating Jasper MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Jasper tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.