Zeev MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more

Name: Zeev
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Zeev 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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The Zeev MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

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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 Zeev. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Zeev MCP Server

What you can do

List and manage your pending tasks in real-time.
Start new process requests with custom form data.
Complete tasks and make decisions directly from your AI agent.
Delegate tasks to other team members and track process history.

Who is it for?

Process managers looking for automated workflow control.
Operations teams needing quick task execution.
Developers integrating BPM into their AI-driven applications.

LlamaIndex agents combine Zeev 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.

The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Zeev tools available for LlamaIndex

When LlamaIndex connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel request on Zeev

Cancel an active process request

create

Create request on Zeev

Start a new process request in Zeev

delegate

Delegate task on Zeev

Delegate a task to another user

finish

Finish task on Zeev

Finish/Complete a Zeev task

get

Get me on Zeev

Get current user information

get

Get process on Zeev

Get details of a process definition

get

Get request on Zeev

Get details of a specific process request

get

Get task on Zeev

Get details of a specific Zeev task

list

List processes on Zeev

List available process definitions

list

List requests on Zeev

List process requests (instances) in Zeev

list

List tasks on Zeev

List pending tasks in Zeev

Connect Zeev to LlamaIndex via MCP

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

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 11 tools from Zeev

Why Use LlamaIndex with the Zeev MCP Server

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

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

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

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

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

Zeev + LlamaIndex Use Cases

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

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

Data enrichment: query Zeev 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 Zeev for fresh data

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

Example Prompts for Zeev in LlamaIndex

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

"List my pending tasks in Zeev."

"Finish task 123 with decision 'Approved'."

"Start a new 'Expense Report' process."

Troubleshooting Zeev MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Zeev + LlamaIndex FAQ

Common questions about integrating Zeev 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.