Keywords AI MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Check Keywordsai Status, Get Analytics, Get Credits, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Keywords 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 Keywords AI app connector for LlamaIndex is a standout in the Developer Tools 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
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 Keywords AI. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Keywords AI?"
)
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 Keywords AI MCP Server
Connect your Keywords AI account to any AI agent and monitor LLM performance.
LlamaIndex agents combine Keywords 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
- Request Logs — List and filter all LLM API calls by model
- Cost Tracking — Monitor credit balance and usage statistics
- Analytics — View cost trends, latency metrics, and error rates
- Model Catalog — Browse available LLM models
- Team Management — List users and view activity
- Alerts — Review monitoring thresholds
The Keywords 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 Keywords AI tools available for LlamaIndex
When LlamaIndex connects to Keywords AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-observability, api-gateway, cost-tracking, 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.
Verify API connectivity
Get analytics dashboard
Get credit balance
Get request details
Get usage statistics
Get user details
List monitoring alerts
List available models
List API request logs
List requests by model
List team users
Connect Keywords AI to LlamaIndex via MCP
Follow these steps to wire Keywords AI into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Keywords AI MCP Server
LlamaIndex provides unique advantages when paired with Keywords AI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Keywords AI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Keywords AI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Keywords AI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Keywords AI tools were called, what data was returned, and how it influenced the final answer
Keywords AI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Keywords AI MCP Server delivers measurable value.
Hybrid search: combine Keywords AI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Keywords AI 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 Keywords AI for fresh data
Analytical workflows: chain Keywords AI queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Keywords AI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Keywords AI immediately.
"Show my current credit balance."
"List all requests using GPT-4."
"Show analytics dashboard."
Troubleshooting Keywords AI MCP Server with LlamaIndex
Common issues when connecting Keywords AI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKeywords AI + LlamaIndex FAQ
Common questions about integrating Keywords AI MCP Server with LlamaIndex.