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Stammer.ai MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Add Qa, Add Url, Create Chatbot, and more

Built by Vinkius GDPR 11 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The Stammer.ai app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Stammer.ai. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())
Stammer.ai
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About Stammer.ai MCP Server

Connect your Stammer.ai account to any AI agent to automate your white-label AI agency and chatbot orchestration. Stammer.ai provides a premier platform for agencies to build and resell custom AI agents, and this integration allows you to retrieve chatbot metadata, manage knowledge bases, and track sub-account performance through natural conversation.

LlamaIndex agents combine Stammer.ai tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • Chatbot Orchestration — List all managed chatbots and retrieve detailed profile metadata, including status and configuration programmatically.
  • Knowledge Base Lifecycle Management — Add new Q&A pairs and website URLs to your chatbots' knowledge base directly from the AI interface to ensure they are always informed.
  • Sub-Account & User Control — Access and monitor your agency's sub-accounts and user database to maintain a clear overview of your resell operations.
  • Message & Interaction Tracking — Retrieve recent chat messages and monitor conversational logs via natural language commands to ensure high-quality interactions.
  • Operational Monitoring — Check system health and manage agency metadata to ensure your white-label platform is always optimized.

The Stammer.ai MCP Server exposes 11 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.

All 11 Stammer.ai tools available for LlamaIndex

When LlamaIndex connects to Stammer.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning stammer-ai, white-label-ai, chatbot-builder, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_qa

Add a Q&A pair to knowledge base

add_url

Add a URL to scrape for knowledge base

create_chatbot

Create a new AI chatbot

get_chatbot

Get details for a specific chatbot

get_knowledge_base

Get the knowledge base for a chatbot

get_sub_account

Get details for a sub-account

list_chatbots

ai account. List all AI agents (chatbots)

list_knowledge_base

List knowledge base items for a chatbot

list_messages

List chat messages for a chatbot

list_sub_accounts

List all white-label sub-accounts

list_users

List all users

Connect Stammer.ai to LlamaIndex via MCP

Follow these steps to wire Stammer.ai into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Stammer.ai

Why Use LlamaIndex with the Stammer.ai MCP Server

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

01

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

02

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

03

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

04

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

Stammer.ai + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Stammer.ai to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Stammer.ai for fresh data

04

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

Example Prompts for Stammer.ai in LlamaIndex

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

01

"List all active chatbots in my Stammer.ai account."

02

"Show me the performance analytics for all deployed AI chatbots with conversation metrics."

03

"Add 20 new FAQ entries to the Support Bot knowledge base from our latest help center articles."

Troubleshooting Stammer.ai MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Stammer.ai + LlamaIndex FAQ

Common questions about integrating Stammer.ai MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Stammer.ai tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.