Greptile MCP Server for AutoGenGive AutoGen instant access to 11 tools to Delete Repository, Get File Info, Get Greptile Usage, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Greptile as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Greptile app connector for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="greptile_agent",
tools=tools,
system_message=(
"You help users with Greptile. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Greptile MCP Server
Connect your Greptile account to any AI agent and unlock AI-powered codebase understanding through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Greptile tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 indexed repository
Get file info
Check API usage
Get repository status
Index a repository
List indexed repositories
Query codebase with AI
Query with session context
Reindex a repository
Search in specific file
Search codebase
Connect Greptile to AutoGen via MCP
Follow these steps to wire Greptile into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Greptile MCP Server
AutoGen provides unique advantages when paired with Greptile through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Greptile tools to solve complex tasks
Role-based architecture lets you assign Greptile tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Greptile tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Greptile tool responses in an isolated environment
Greptile + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Greptile MCP Server delivers measurable value.
Collaborative analysis: one agent queries Greptile while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Greptile, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Greptile data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Greptile responses in a sandboxed execution environment
Example Prompts for Greptile in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Greptile to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Greptile + AutoGen FAQ
Common questions about integrating Greptile MCP Server with AutoGen.