How to Use the TextP2P MCP in CrewAI
Run autonomous TextP2P campaigns using CrewAI's specialized agent teams.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TextP2P MCP to CrewAI
Create your Vinkius account to connect TextP2P to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Autonomous Campaign Execution with MCP Server
Assign one agent to run `list_textp2p_lists` and another agent to execute the sending. The collaboration ensures that the team knows exactly which groups need outreach, minimizing manual steps. The agents coordinate the entire campaign from list selection to final message dispatch.
Verify Resources with CrewAI
You can set up a preparatory agent whose job is only to check `get_textp2p_balance`. This gives your team an immediate status report on available funds. A second agent can run `add_textp2p_contact` to ensure new targets are ready. This two-agent handoff prevents the whole operation from stalling due to a simple resource shortage.
High-Touch Outreach using TextP2P
For critical, high-impact messages, one agent can be tasked with running `send_textp2p_rvm`. This specialized tool allows the team to send ringless voicemails for deep engagement, separate from simple text blasts. Another agent can then follow up by sending a reminder using `send_textp2p_sms`.
Set up TextP2P 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 TextP2P tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="TextP2P Analyst",
goal="Access and analyze TextP2P data via MCP.",
backstory="Expert analyst with direct TextP2P access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent TextP2P 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="TextP2P Analyst",
goal="Access and analyze TextP2P data via MCP.",
backstory="Expert analyst with direct TextP2P access.",
tools=mcp_tools,
)
task = Task(
description="List recent TextP2P 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 TextP2P. 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 TextP2P MCP in CrewAI
Use it with your favorite AI tools
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