A multi-agent crew where one specialist runs your social media.
CrewAI's role-based model fits social media work uncomfortably well. Marketing isn't a single workflow — it's a researcher who watches competitors, a social manager who drafts and schedules, a reviewer who catches the off-brand line before it ships. CrewAI makes those into separate agents with their own tools and goals; SociaHive plugs in as the social manager's toolkit. Connect via langchain-mcp-adapters or the crewai-tools BaseTool wrapper, and the social manager agent gets every SociaHive tool — schedule_post, generate_flow, get_post_analytics — to drive Instagram, WhatsApp, LinkedIn, Threads, TikTok, and the rest of the platform list.
Get StartedWhy pair CrewAI with SociaHive
Role-based agents map to real social-team workflows
Most social-media automation tools assume one operator. Real teams have a researcher who scrapes competitor moves, a social manager who drafts and schedules, an editor who catches typos and brand issues. CrewAI's Crew model captures that division naturally. SociaHive sits inside the social manager's toolkit; the other agents stay focused on their own jobs.
Per-role API keys for clean audit trails
Each CrewAI agent gets its own scoped SociaHive API key. The researcher's key is read-only; the social manager's is agent:execute; the reviewer's is the one that actually clears pending_confirmation envelopes. SociaHive's audit log records which key triggered which action, so when 'who scheduled that LinkedIn post on Tuesday?' comes up, the answer is one query away.
Approval gates that mirror SociaHive’s safety model
CrewAI's task delegation pattern fits SociaHive's destructive-action confirmation rule. The social manager agent calls create_post; SociaHive returns a pending_confirmation envelope; the social manager hands the envelope to the reviewer agent as a delegated task; the reviewer either approves or asks for changes. Same loop, automated.
Wire SociaHive into a CrewAI agent via langchain-mcp-adapters
CrewAI imports LangChain tools directly, so the cleanest MCP path is the langchain-mcp-adapters bridge — no CrewAI-specific MCP wrapper required. Define a Crew with role-based agents and assign the SociaHive tool subset to whichever agent should own that surface (typically the social manager).
# pip install crewai crewai-tools langchain-mcp-adapters
from crewai import Agent, Task, Crew, Process
from langchain_mcp_adapters.client import MultiServerMCPClient
import os
mcp_client = MultiServerMCPClient({
"sociahive": {
"transport": "streamable_http",
"url": "https://sociahive.com/api/mcp",
"headers": {
"X-API-Key": os.environ["SOCIAHIVE_AGENT_KEY"],
},
},
})
sociahive_tools = await mcp_client.get_tools()
researcher = Agent(
role="Competitor researcher",
goal="Identify what competitors posted this week and which posts landed",
backstory="Sceptical, source-cited, refuses to summarise without data.",
tools=[], # uses general web/scrape tools, not SociaHive
)
social_manager = Agent(
role="Social media manager",
goal="Draft and schedule cross-platform posts that match brand voice",
backstory="Knows our voice file by heart. Won't ship off-brand copy.",
tools=sociahive_tools, # full SociaHive tool surface
)
reviewer = Agent(
role="Editorial reviewer",
goal="Catch off-brand or unsafe copy before SociaHive publishes",
backstory="Final approval gate for any pending_confirmation envelope.",
tools=sociahive_tools, # can resolve confirmations
)
crew = Crew(
agents=[researcher, social_manager, reviewer],
tasks=[
Task(description="Research top 5 competitor posts this week",
agent=researcher, expected_output="JSON list with URLs + key takeaways"),
Task(description="Draft a LinkedIn + Instagram + Threads post taking "
"inspiration from the research, schedule for Sun 6pm.",
agent=social_manager, expected_output="Scheduled post IDs + pending confirmations"),
Task(description="Review pending posts; approve or request edits",
agent=reviewer, expected_output="Confirmation result + audit comment"),
],
process=Process.sequential,
)
result = await crew.kickoff_async()A real workflow: research-driven content drop with editorial review
Three agents, three roles, three SociaHive API keys (or scopes). The researcher pulls competitor data; the social manager turns insights into scheduled posts via SociaHive; the reviewer clears the pending_confirmation envelopes before anything publishes. Audit log shows exactly which agent did what.
- 1Researcher agent (no SociaHive tools) scrapes 5 competitor posts via standard web tools, summarises performance themes, hands a JSON briefing to the next task.
- 2Social manager agent (agent:execute scope) reads the briefing, calls create_post on Instagram (carousel) + LinkedIn (longform) + Threads (short hook) with platform-appropriate length. Receives pending_confirmation envelopes for each.
- 3Social manager delegates the envelopes to the reviewer agent as a CrewAI Task, attaching the briefing context so the reviewer knows the why behind each post.
- 4Reviewer agent reads the drafts, suggests edits if needed (loops back to social manager), or clears confirmations through the SociaHive dashboard URL.
- 5Final task: reviewer posts a 'shipped' summary in Slack with the scheduled post IDs and a deeplink to the SociaHive content scheduler so a human can spot-check before Sunday 6pm.
[Researcher] Done. 5 competitor posts analysed. Top themes:
- Customer-story carousels outperform single-image launches 3:1
- LinkedIn longform > shortform for B2B announcements this week
- Threads engagement up 18% week-over-week (industry-wide)
[Social Manager] Drafting cross-platform week...
[social_manager: create_post(platform=instagram)]
→ pst_2x9 — pending_confirmation (publish requires approval)
[social_manager: create_post(platform=linkedin)]
→ pst_lk1 — pending_confirmation
[social_manager: create_post(platform=threads)]
→ pst_th1 — pending_confirmation
Delegating to reviewer for editorial pass.
[Reviewer] Reviewing 3 pending posts...
✔ pst_2x9 (Instagram carousel) — approved
⚠ pst_lk1 (LinkedIn longform) — flagged 'too sales-y, line 3'
→ returning to social_manager with edit note
[Social Manager] Re-drafting pst_lk1 with reviewer feedback...
→ pst_lk1 updated. Returning to reviewer.
[Reviewer] ✔ pst_lk1 — approved on second pass.
All confirmations cleared. Posts scheduled for 2026-05-11 18:00 UTC.
[Reviewer] Posted summary to #social-week-ahead in Slack.What You Can Do with CrewAI + SociaHive
- ✓Match agent roles to real team roles — researcher, social manager, reviewer — not one monolith prompt
- ✓Connect to SociaHive via langchain-mcp-adapters (most stable path) or wrap as a CrewAI BaseTool
- ✓Each role gets its own scoped API key — auditable per-agent action history
- ✓Reviewer agent enforces approval gates that mirror SociaHive’s pending_confirmation envelopes
How to Connect CrewAI
Create Your SociaHive Account
Sign up at sociahive.com and connect your Instagram Business or Creator account. No ai agent credentials needed yet.
Find CrewAI in Integrations
Open your SociaHive dashboard, go to Settings > Integrations, and select CrewAI from the AI Agent section.
Authorize CrewAI
Click "Connect" and complete the CrewAI authorization flow to grant SociaHive read and write access.
Set Up Your CrewAI Workspace
Use langchain-mcp-adapters as the bridge today — CrewAI imports LangChain tools natively, so the SociaHive MCP server flows in without custom code. Issue a separate API key per agent role (researcher gets read-only, social manager gets agent:execute, reviewer gets a key with publish-confirmation rights) so the audit log shows which crew member triggered which action.
Test Your CrewAI Connection
Send a test DM to your Instagram account and verify the data flows into CrewAI. Check that triggers, events, and data mapping work as expected.
Use Cases with CrewAI
Other AI Agent Integrations
Frequently asked questions
Does CrewAI have native MCP support?+
Not directly today, but it doesn't need to. CrewAI imports LangChain tools natively, so langchain-mcp-adapters acts as the bridge — register SociaHive once via MultiServerMCPClient, fetch the tools, and pass them to whichever Crew agent should own that surface. A native CrewAI MCP integration is on the community roadmap; until it ships, the LangChain bridge is fully supported and what most CrewAI projects use for any MCP server.
Can I give different agents in the crew different SociaHive permissions?+
Yes — issue separate API keys per role. Researcher gets a read-only key (analytics:read, posts:read); social manager gets agent:execute; reviewer gets a key authorised to resolve pending_confirmation envelopes. SociaHive's audit log records the key on every call, so 'which agent role triggered this action' is queryable. Revoke any key from Settings → API Keys and that agent loses access mid-run.
How does CrewAI handle SociaHive’s pending_confirmation envelopes?+
Treat them as task results, not exceptions. The agent that called the destructive tool (typically the social manager) receives the envelope, then delegates a follow-up task to the reviewer agent with the envelope attached. The reviewer either resolves the confirmation through the SociaHive dashboard URL the envelope provides, or asks the social manager to revise. Same approval-gate pattern you'd run with humans, but automated.
Will the researcher agent need a SociaHive API key?+
Only if you want the researcher to pull SociaHive's own historical data (your past post analytics, your contact tags). For pure competitor research, the researcher uses standard web/scrape tools and doesn't need a SociaHive key at all. Most teams skip giving the researcher a key — keeps the audit trail cleaner and matches the crew analogy of 'the researcher works outside the dashboard'.
How is CrewAI + SociaHive different from LangChain + SociaHive?+
Same underlying integration (langchain-mcp-adapters) but a different agent model. LangChain (especially LangGraph) is best when you want a single agent or a tightly-coupled state machine; CrewAI shines when the work naturally splits into roles with different goals, tools, and guardrails. Pick CrewAI when 'researcher + social manager + reviewer' makes intuitive sense; pick LangGraph when one agent is fine but the workflow has heavy branching.
Comparing AI tools for social media automation? See the full hub: MCP for social media automation — or the developer-focused product page at /mcp.
Connect CrewAI with SociaHive
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