How to Use the Delivery Integrity Prover MCP in LlamaIndex

Q: Can I query Delivery Integrity Prover logs using semantic search?

Yes. Because LlamaIndex indexes the output of the verifydelivery tool, you can ask your agent which files were modified and get answers grounded in actual validation logs.

Q: How do I register the Delivery Integrity Prover tool with LlamaIndex?

You use llama-index-tools-mcp to connect to the server, then convert it using McpToolSpec. Pass the resulting tool list to your FunctionAgent to let it run verification.

Index verified task outputs in LlamaIndex to keep your knowledge bases grounded in actual execution logs.

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Connect Delivery Integrity Prover MCP to LlamaIndex

Create your Vinkius account to connect Delivery Integrity Prover to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Delivery Integrity Prover with LlamaIndex

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Index verified execution logs in your vector store

The `verify_delivery` tool forces your agent to document exact file paths and empirical validation logs before concluding a task, running securely via this MCP server. LlamaIndex then indexes these structured verification outputs directly into your vector store. This gives your RAG applications a clean, searchable history of actual work done. Instead of querying raw, unverified agent chatter, your queries pull from grounded, proven execution records.

Query past task completions with LlamaIndex

The `verify_delivery` tool writes structured boolean pivots and gap declarations for every completed run. When you query past sessions, LlamaIndex retrieves these specific verification logs to answer questions about what was actually built. You get precise answers about which files were modified and what requirements were met. This eliminates hallucinations about past agent actions because the retrieved context is backed by hard verification logs.

Ground your RAG agent using this MCP Server

The `verify_delivery` tool prevents your LlamaIndex query agents from making false assumptions about external data states. By running this check, the agent confirms that files exist and tests passed before updating its internal index. It acts as a gatekeeper for your knowledge base. Only tasks that pass the strict boolean pivots get indexed, ensuring your vector store remains a source of truth.

Setup guide

Set up Delivery Integrity Prover MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Delivery Integrity Prover MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Delivery Integrity Prover tools.",
)
response = await agent.run("List recent Delivery Integrity Prover data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Delivery Integrity Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Delivery Integrity Prover MCP in LlamaIndex

It ensures only verified code changes and test logs are indexed. By calling `verify_delivery`, you prevent unverified or failed agent attempts from polluting your vector store.

Yes. Because LlamaIndex indexes the output of the `verify_delivery` tool, you can ask your agent which files were modified and get answers grounded in actual validation logs.

You use `llama-index-tools-mcp` to connect to the server, then convert it using `McpToolSpec`. Pass the resulting tool list to your `FunctionAgent` to let it run verification.

No, you must configure your agent to call it. Instruct your agent to invoke `verify_delivery` as its final step to validate its own output before the pipeline finishes.

All validation data, file paths, and test outputs run within an ephemeral V8 sandbox. This secure runtime environment ensures that your sensitive system paths and test logs are never exposed or stored on this MCP server.

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