FeedBlitz MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Add Subscriber, Get Subscriber, Get Syndication, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FeedBlitz 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 FeedBlitz app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 8 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 FeedBlitz. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in FeedBlitz?"
)
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 FeedBlitz MCP Server
What you can do
- Retrieve detailed publisher user profiles and account metrics.
- Manage syndications, feeds, and active mailing lists effortlessly.
- Monitor engagement metrics for any selected syndication.
- Add, retrieve, or remove subscribers dynamically with AI Agents.
Who is it for?
Designed for email marketers, content creators, and growth hackers who rely on FeedBlitz to automate and scale their communications. Perfect for those using Claude or Cursor to build custom marketing workflows.LlamaIndex agents combine FeedBlitz tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.
The FeedBlitz MCP Server exposes 8 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 8 FeedBlitz tools available for LlamaIndex
When LlamaIndex connects to FeedBlitz through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss-to-email, mailing-lists, subscriber-management, 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 a subscriber to a syndication in FeedBlitz
Get a specific subscriber from FeedBlitz
Get details for a specific syndication in FeedBlitz
Get user details from FeedBlitz
List metrics for a syndication in FeedBlitz
Optionally filter by status. List subscribers for a syndication in FeedBlitz
List syndications (feeds/lists) in FeedBlitz
Remove or unsubscribe a subscriber from FeedBlitz
Connect FeedBlitz to LlamaIndex via MCP
Follow these steps to wire FeedBlitz 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 FeedBlitz MCP Server
LlamaIndex provides unique advantages when paired with FeedBlitz through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FeedBlitz tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FeedBlitz tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FeedBlitz, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FeedBlitz tools were called, what data was returned, and how it influenced the final answer
FeedBlitz + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FeedBlitz MCP Server delivers measurable value.
Hybrid search: combine FeedBlitz real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FeedBlitz 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 FeedBlitz for fresh data
Analytical workflows: chain FeedBlitz queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for FeedBlitz in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FeedBlitz immediately.
"List all my syndications in FeedBlitz."
"Add newuser@example.com to syndication ID 123."
"Show me the metrics for syndication ID 123."
Troubleshooting FeedBlitz MCP Server with LlamaIndex
Common issues when connecting FeedBlitz to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFeedBlitz + LlamaIndex FAQ
Common questions about integrating FeedBlitz MCP Server with LlamaIndex.