How to Use the Bluesky Social MCP in CrewAI
Run autonomous agent teams to manage and grow your Bluesky Social presence using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bluesky Social MCP to CrewAI
Create your Vinkius account to connect Bluesky Social 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.
Coordinate CrewAI agents to curate and post content.
Discovering network trends is powered by the `search_profiles` tool acting as the eyes of your research agent. Set up a multi-agent team where one agent acts as a researcher and another acts as a writer. The researcher agent can search the network using `search_profiles` and check trends with `list_popular_feeds`, passing the findings to the writer. The writer agent then drafts a post and uses `create_post` to publish it. Because CrewAI manages shared memory, the agents remember which profiles they analyzed, preventing duplicate outreach and keeping your feed fresh.
Deploy an automated moderation crew with this MCP Server.
Monitoring incoming account activity relies on the `list_notifications` tool to track new interactions. Run a dedicated community crew that monitors your social graph. A moderator agent can watch your incoming notifications via `list_notifications` and check the profiles of new followers using `get_profile`. If a follower is identified as a bot, the agent immediately triggers `mute_user` to protect your account. The entire operation runs sequentially without requiring you to manually check your phone.
Discover and engage with industry peers autonomously.
Building your decentralized network is driven by the `follow_user` tool executing within your outreach crew. Grow your network by deploying an outreach crew. Your agent can list your current followers using `list_followers` and find related accounts by calling `search_profiles` with specific industry keywords. Once the target accounts are identified, the agent can run `follow_user` to build connections. The hierarchical execution model ensures a supervisor agent reviews the target list before any follow actions are taken.
Set up Bluesky Social 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 Bluesky Social tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Bluesky Social Analyst",
goal="Access and analyze Bluesky Social data via MCP.",
backstory="Expert analyst with direct Bluesky Social access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Bluesky Social 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="Bluesky Social Analyst",
goal="Access and analyze Bluesky Social data via MCP.",
backstory="Expert analyst with direct Bluesky Social access.",
tools=mcp_tools,
)
task = Task(
description="List recent Bluesky Social 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 Bluesky Social. 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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Real-time monitoring
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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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One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Bluesky Social MCP in CrewAI
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