crewai-tokportal
CrewAI integration for TokPortal.
TokPortal is the managed social infrastructure API: real TikTok, Instagram and YouTube accounts created, warmed and operated by human account managers in 16+ countries — exposed as a REST API and an MCP server. No OAuth per account, no 25-posts/day cap, no app review.
Two ways to give your crew TokPortal super-powers:
| Mode | What you get | When to use |
|---|---|---|
Native tools (tokportal_tools()) |
6 crewai.tools.BaseTool subclasses wrapping the tokportal Python SDK: credit balance, create bundle, configure video, publish bundle, get bundle, list accounts |
Lightweight, no MCP dependency |
MCP (tokportal_mcp_server() / tokportal_mcp_adapter()) |
Every tool of the remote TokPortal MCP server (90+ operations: uploads, warming, analytics, webhooks, comments, bans…) | Full API surface |
Installation
pip install crewai-tokportal
# for the MCP variants:
pip install "crewai-tokportal[mcp]" # == crewai-tools[mcp]
Get an API key at https://app.tokportal.com/developer:
export TOKPORTAL_API_KEY=sk_...
Crew example (native tools)
from crewai import Agent, Crew, Task
from crewai_tokportal import tokportal_tools
operator = Agent(
role="TokPortal operator",
goal="Order and schedule managed social accounts for the marketing team",
backstory=(
"You operate TokPortal, a managed social infrastructure API. You always check the "
"credit balance first, create a bundle, configure its videos, then publish it so a "
"human account manager can start."
),
tools=tokportal_tools(), # reads TOKPORTAL_API_KEY; or tokportal_tools("sk_...")
llm="gpt-4.1",
verbose=True,
)
order = Task(
description=(
"Order one new TikTok account in the US with 3 video slots and advanced warming on "
"'home workout', 'protein snacks', 'gym motivation'. Publish the bundle and report "
"its id and status."
),
expected_output="The bundle id, its status, and the remaining credit balance.",
agent=operator,
)
crew = Crew(agents=[operator], tasks=[order])
print(crew.kickoff())
Every tool returns a JSON string: the TokPortal data envelope, or
{"error": {"status", "code", "message", "request_id", "retryable"}} so the
agent can self-correct.
Full MCP tool set
Recommended: Agent(mcps=[...]) (CrewAI ≥ 1.x)
from crewai import Agent
from crewai_tokportal import tokportal_mcp_server
agent = Agent(
role="TokPortal operator",
goal="...",
backstory="...",
mcps=[tokportal_mcp_server()], # MCPServerHTTP, streamable HTTP + Bearer auth
llm="gpt-4.1",
)
tokportal_mcp_server() accepts MCPServerHTTP kwargs such as
tool_filter= or cache_tools_list=True.
Legacy: MCPServerAdapter context manager
from crewai import Agent
from crewai_tools import MCPServerAdapter
from crewai_tokportal import tokportal_mcp_adapter
with MCPServerAdapter(tokportal_mcp_adapter(), connect_timeout=60) as mcp_tools:
agent = Agent(role="...", goal="...", backstory="...", tools=mcp_tools, llm="gpt-4.1")
...
tokportal_mcp_adapter() returns
{"url": "https://app.tokportal.com/api/ext/mcp", "transport": "streamable-http", "headers": {"Authorization": "Bearer sk_..."}}.
Tool reference (native)
| Tool | REST operation |
|---|---|
tokportal_get_credit_balance |
GET /credits/balance |
tokportal_create_bundle |
POST /bundles |
tokportal_configure_bundle_video |
PUT /bundles/{id}/videos/{position} |
tokportal_publish_bundle |
POST /bundles/{id}/publish |
tokportal_get_bundle |
GET /bundles/{id} |
tokportal_list_accounts |
GET /accounts |
Individual classes are exported too (TokPortalCreateBundle(api_key=...), …).
Resources
- API docs: https://developers.tokportal.com
- OpenAPI: https://developers.tokportal.com/openapi.json
- MCP server: https://developers.tokportal.com/mcp
- Python SDK: https://github.com/tokportal/tokportal-python
- LangChain package: https://github.com/tokportal/langchain-tokportal
- Support: team@tokportal.com
License
MIT
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