diff --git a/integrations/writbase/.env.example b/integrations/writbase/.env.example
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+WRITBASE_URL=https://your-project.supabase.co
+WRITBASE_AGENT_KEY=wb_keyid_secret
+OPENAI_API_KEY=sk-...
diff --git a/integrations/writbase/.gitignore b/integrations/writbase/.gitignore
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+++ b/integrations/writbase/.gitignore
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+.env
+__pycache__/
+*.pyc
+.venv/
diff --git a/integrations/writbase/README.md b/integrations/writbase/README.md
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+++ b/integrations/writbase/README.md
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+# WritBase Task Backend for CrewAI
+
+## Introduction
+
+Use [WritBase](https://github.com/Writbase/writbase) as a persistent, shared task backend for CrewAI agents. Tasks survive crew restarts, are auditable, and can be shared across multiple crews.
+
+WritBase is an MCP-native task management system for AI agent fleets. It provides:
+
+- **Persistent tasks** — tasks stored in Postgres, not lost when a crew stops
+- **Multi-agent coordination** — multiple crews can share a task queue
+- **Full provenance** — every status change and note is logged with actor attribution
+- **Agent permissions** — fine-grained control over what each agent can read, create, or update
+
+## Prerequisites
+
+- A Supabase project with WritBase deployed (`npx writbase init`)
+- An agent key created via the WritBase dashboard or CLI (`npx writbase key create`)
+- Python 3.10+
+- An OpenAI API key (or any LLM provider supported by CrewAI)
+
+## Setup
+
+1. Clone this example:
+
+```bash
+git clone https://github.com/crewAIInc/crewAI-examples.git
+cd crewAI-examples/integrations/writbase
+```
+
+2. Create a virtual environment and install dependencies:
+
+```bash
+python -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+```
+
+3. Copy the environment template and fill in your values:
+
+```bash
+cp .env.example .env
+```
+
+Edit `.env` with your WritBase Supabase URL, agent key, and OpenAI API key.
+
+4. Run the example:
+
+```bash
+python main.py
+```
+
+## How It Works
+
+The crew connects to WritBase via its MCP HTTP endpoint using JSON-RPC 2.0 calls:
+
+1. **Fetch tasks** — calls `get_tasks` to retrieve tasks assigned to this agent with status `todo`
+2. **Process tasks** — a CrewAI crew with a researcher and writer agent processes each task
+3. **Update results** — calls `update_task` to set the task status to `done` and attach the result as notes
+
+## Architecture
+
+```
++-------------------+         +---------------------------+         +------------+
+|                   |  HTTP   |                           |         |            |
+|   CrewAI Crew     +-------->+  WritBase MCP Endpoint    +-------->+  Postgres  |
+|   (this script)   |  JSON-  |  (Supabase Edge Function) |         |  (tasks,   |
+|                   |  RPC    |                           |         |   logs)    |
++-------------------+         +---------------------------+         +------------+
+        |                                                                 ^
+        |                          other crews / agents                   |
+        |                     +------------------------+                  |
+        +-------------------->+  WritBase Dashboard    +------------------+
+                              +------------------------+
+```
+
+## MCP Endpoint Reference
+
+All calls go to `{WRITBASE_URL}/functions/v1/mcp-server` with header `X-Agent-Key: {WRITBASE_AGENT_KEY}`.
+
+### Fetch assigned tasks
+
+```json
+{
+  "jsonrpc": "2.0",
+  "method": "tools/call",
+  "params": {
+    "name": "get_tasks",
+    "arguments": {"status": "todo", "assigned_to_me": true}
+  },
+  "id": 1
+}
+```
+
+### Update a task
+
+```json
+{
+  "jsonrpc": "2.0",
+  "method": "tools/call",
+  "params": {
+    "name": "update_task",
+    "arguments": {"task_id": "...", "status": "done", "notes": "Result here"}
+  },
+  "id": 2
+}
+```
+
+## Learn More
+
+- [WritBase GitHub](https://github.com/Writbase/writbase)
+- [CrewAI Documentation](https://docs.crewai.com)
diff --git a/integrations/writbase/main.py b/integrations/writbase/main.py
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--- /dev/null
+++ b/integrations/writbase/main.py
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+"""
+WritBase Task Backend for CrewAI
+
+Fetches tasks assigned to this agent from WritBase, processes them with a
+CrewAI crew (researcher + writer), and writes results back.
+
+Usage:
+    cp .env.example .env   # fill in your values
+    pip install -r requirements.txt
+    python main.py
+"""
+
+import json
+import sys
+
+import httpx
+from crewai import Agent, Crew, Process, Task
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+WRITBASE_URL = os.environ["WRITBASE_URL"]
+WRITBASE_AGENT_KEY = os.environ["WRITBASE_AGENT_KEY"]
+MCP_ENDPOINT = f"{WRITBASE_URL}/functions/v1/mcp-server"
+
+
+# ---------------------------------------------------------------------------
+# WritBase MCP helpers
+# ---------------------------------------------------------------------------
+
+def mcp_call(method: str, params: dict, request_id: int = 1) -> dict:
+    """Send a JSON-RPC 2.0 request to the WritBase MCP endpoint."""
+    payload = {
+        "jsonrpc": "2.0",
+        "method": method,
+        "params": params,
+        "id": request_id,
+    }
+    headers = {
+        "Content-Type": "application/json",
+        "X-Agent-Key": WRITBASE_AGENT_KEY,
+    }
+    response = httpx.post(MCP_ENDPOINT, json=payload, headers=headers, timeout=30)
+    response.raise_for_status()
+    result = response.json()
+    if "error" in result:
+        raise RuntimeError(f"MCP error: {result['error']}")
+    return result.get("result", {})
+
+
+def fetch_todo_tasks() -> list[dict]:
+    """Fetch tasks assigned to this agent with status 'todo'."""
+    result = mcp_call(
+        method="tools/call",
+        params={
+            "name": "get_tasks",
+            "arguments": {"status": "todo", "assigned_to_me": True},
+        },
+    )
+    # MCP tool results come as content blocks; parse the text block
+    content = result.get("content", [])
+    for block in content:
+        if block.get("type") == "text":
+            data = json.loads(block["text"])
+            return data.get("tasks", data) if isinstance(data, dict) else data
+    return []
+
+
+def update_task(task_id: str, version: int, status: str, notes: str) -> dict:
+    """Update a task's status and notes in WritBase."""
+    return mcp_call(
+        method="tools/call",
+        params={
+            "name": "update_task",
+            "arguments": {
+                "task_id": task_id,
+                "version": version,
+                "status": status,
+                "notes": notes,
+            },
+        },
+    )
+
+
+# ---------------------------------------------------------------------------
+# CrewAI crew definition
+# ---------------------------------------------------------------------------
+
+researcher = Agent(
+    role="Researcher",
+    goal="Analyze the task description and gather key information",
+    backstory=(
+        "You are a meticulous researcher who breaks down task descriptions "
+        "into actionable insights. You identify what needs to be done and "
+        "gather the relevant context."
+    ),
+    verbose=True,
+)
+
+writer = Agent(
+    role="Writer",
+    goal="Produce a clear, concise result summary for the task",
+    backstory=(
+        "You are a skilled writer who takes research findings and produces "
+        "well-structured summaries. You focus on clarity and actionability."
+    ),
+    verbose=True,
+)
+
+
+def build_crew(task_description: str) -> Crew:
+    """Build a CrewAI crew to process a single WritBase task."""
+    research_task = Task(
+        description=(
+            f"Analyze the following task and identify the key requirements, "
+            f"constraints, and any relevant context:\n\n{task_description}"
+        ),
+        expected_output="A structured analysis of the task requirements.",
+        agent=researcher,
+    )
+
+    writing_task = Task(
+        description=(
+            "Based on the research analysis, produce a clear and actionable "
+            "result summary. Include specific recommendations or deliverables."
+        ),
+        expected_output="A concise result summary with actionable items.",
+        agent=writer,
+    )
+
+    return Crew(
+        agents=[researcher, writer],
+        tasks=[research_task, writing_task],
+        process=Process.sequential,
+        verbose=True,
+    )
+
+
+# ---------------------------------------------------------------------------
+# Main loop
+# ---------------------------------------------------------------------------
+
+def main():
+    print("Fetching tasks from WritBase...")
+    tasks = fetch_todo_tasks()
+
+    if not tasks:
+        print("No tasks assigned. Nothing to do.")
+        return
+
+    print(f"Found {len(tasks)} task(s) to process.\n")
+
+    for wb_task in tasks:
+        task_id = wb_task["id"]
+        version = wb_task["version"]
+        description = wb_task.get("description", "(no description)")
+
+        print(f"--- Processing task: {description[:60]} (id: {task_id}) ---")
+
+        # Mark as in_progress (version increments after each update)
+        update_task(task_id, version=version, status="in_progress", notes="CrewAI processing started")
+        version += 1
+
+        try:
+            crew = build_crew(description)
+            result = crew.kickoff()
+
+            # Write result back to WritBase
+            update_task(task_id, version=version, status="done", notes=str(result))
+            print(f"Task {task_id} completed.\n")
+
+        except Exception as exc:
+            error_msg = f"CrewAI processing failed: {exc}"
+            update_task(task_id, version=version, status="failed", notes=error_msg)
+            print(f"Task {task_id} failed: {exc}\n", file=sys.stderr)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/integrations/writbase/requirements.txt b/integrations/writbase/requirements.txt
new file mode 100644
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+++ b/integrations/writbase/requirements.txt
@@ -0,0 +1,3 @@
+crewai>=0.80.0
+httpx>=0.27.0
+python-dotenv>=1.0.0