Can I ask natural language questions about my codebase?

Yes! The `query_codebase` tool sends a natural language question along with repository references and returns AI-generated answers with specific code references (file paths and line numbers). For follow-up questions, use `query_with_context` with the session ID from the previous response to maintain conversation continuity.

Do I need to index my repository before querying it?

Yes. Use `index_repository` with the remote host (github or gitlab), repository path (owner/repo), and branch name. Check indexing progress with `get_repository_status`. Once indexed, you can query and search the repository. Use `reindex_repository` to refresh the index after significant code changes.

Can I search for specific code patterns across my repositories?

Yes. The `search_codebase` tool performs semantic search across your indexed repositories to find relevant files and functions. For targeted results, use `search_by_filepath` to narrow the search to a specific file path. Use `get_file_info` to retrieve indexed metadata for any file.

INSTANT PLUG AND PLAY

Greptile MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Delete Repository, Get File Info, Get Greptile Usage, and more

Name: Greptile
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Greptile through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Greptile app connector for OpenAI Agents SDK 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Greptile Assistant",
            instructions=(
                "You help users interact with Greptile. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Greptile"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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 Greptile MCP Server

Connect your Greptile account to any AI agent and unlock AI-powered codebase understanding through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Greptile through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Greptile, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

AI Codebase Q&A — Ask natural language questions about one or more repositories and receive AI-generated answers with code references
Contextual Follow-ups — Continue conversations with session context for multi-turn codebase exploration
Semantic Code Search — Search across indexed repositories to find relevant files, functions, and code patterns
File-Specific Search — Target searches within a specific file path for precise results
Repository Indexing — Submit GitHub or GitLab repositories for indexing, check progress, and trigger re-indexing
Repository Management — List all indexed repos, inspect file metadata, and remove outdated indexes
Usage Monitoring — Track API consumption and rate limits

The Greptile MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Greptile tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Greptile through Vinkius, your AI agent gets direct access to every tool listed below — spanning codebase-intelligence, semantic-search, repository-indexing, 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.

delete_repository

Delete indexed repository

get_file_info

Get file info

get_greptile_usage

Check API usage

get_repository_status

Get repository status

index_repository

Index a repository

list_repositories

List indexed repositories

query_codebase

Query codebase with AI

query_with_context

Query with session context

reindex_repository

Reindex a repository

search_by_filepath

Search in specific file

search_codebase

Search codebase

Connect Greptile to OpenAI Agents SDK via MCP

Follow these steps to wire Greptile into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Greptile

Why Use OpenAI Agents SDK with the Greptile MCP Server

OpenAI Agents SDK provides unique advantages when paired with Greptile through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Greptile + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Greptile MCP Server delivers measurable value.

Automated workflows: build agents that query Greptile, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Greptile, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Greptile tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Greptile to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Greptile in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Greptile immediately.

"How does the authentication middleware work in our backend repository?"

"Search for all files that import the database connection module and show me the file info."

"Index our new frontend repository and check the indexing status."

Troubleshooting Greptile MCP Server with OpenAI Agents SDK

Common issues when connecting Greptile to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Greptile + OpenAI Agents SDK FAQ

Common questions about integrating Greptile MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.