How to Use the AppGallery Connect MCP in CrewAI
Deploy a collaborative crew of CrewAI agents to manage your AppGallery Connect store presence autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AppGallery Connect MCP to CrewAI
Create your Vinkius account to connect AppGallery Connect to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Collaborative release management via CrewAI
The `get_upload_url` and `get_app_info` tools enable a coordinated release team to run without manual intervention. Your Release Agent stages the binary, while your QA Agent checks the store details using `get_app_language_info`. Once both agents agree the metadata is correct, they hand off the task to your Submission Agent. That agent triggers `submit_for_review` and monitors the status until the update goes live.
Multi-agent store review moderation with CrewAI
The `get_comments` and `reply_to_comment` tools let you divide and conquer user reviews across specialized agents. A Monitor Agent pulls new reviews, passing negative feedback to a Support Agent and positive feedback to a Marketing Agent. The Support Agent drafts a technical solution, and the Moderator Agent posts the final response. This multi-agent setup ensures every user gets a tailored reply.
Automated store performance reporting via MCP Server
This MCP Server exposes `get_download_stats` and `get_install_stats` to track your app's growth with specialized analyst agents. An Analyst Agent pulls the raw metrics to identify trends. A separate Reporting Agent takes that raw analysis and writes a clean executive summary. The entire process runs autonomously, giving you deep store insights without manual work.
Set up AppGallery Connect MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke AppGallery Connect tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="AppGallery Connect Analyst",
goal="Access and analyze AppGallery Connect data via MCP.",
backstory="Expert analyst with direct AppGallery Connect access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent AppGallery Connect transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="AppGallery Connect Analyst",
goal="Access and analyze AppGallery Connect data via MCP.",
backstory="Expert analyst with direct AppGallery Connect access.",
tools=mcp_tools,
)
task = Task(
description="List recent AppGallery Connect transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppGallery Connect. 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.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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Common questions about AppGallery Connect MCP in CrewAI
Use it with your favorite AI tools
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