How do I find my Plaud Access Token?

Log in to [**web.plaud.ai**](https://web.plaud.ai), open DevTools (F12), go to **Application** > **Local Storage**, and look for `tokenstr`. Copy and paste it into the field below.

What is the Plaud API Domain?

It is the base URL for the Plaud API (e.g., `https://api-euc1.plaud.ai`). You can find it in your browser's Local Storage under `plaud_user_api_domain`.

Can the agent retrieve full AI summaries?

Yes. Use the `get_summary` tool with the File ID. Your agent will fetch the structured AI summary, including key points and action items.

Plaud MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Plaud
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Plaud through Vinkius, pass the Edge URL in the `mcps` parameter and every Plaud tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Plaud Specialist",
    goal="Help users interact with Plaud effectively",
    backstory=(
        "You are an expert at leveraging Plaud tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Plaud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Plaud MCP Server

Empower your AI agent to orchestrate your entire voice-to-intelligence ecosystem with Plaud, the AI voice recorder. By connecting Plaud to your agent, you transform complex recording management into a natural conversation. Your agent can instantly list your files, retrieve AI-generated transcripts, and audit meeting summaries without you ever touching a dashboard. Whether you are capturing client meetings, lectures, or personal notes, your agent acts as a real-time intelligence assistant, ensuring your spoken data is always accessible and organized.

When paired with CrewAI, Plaud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Plaud tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Recording Auditing — List all recordings in your account and retrieve detailed metadata for each, including creation dates.
Intelligence Extraction — Query full transcripts and AI summaries for any recording instantly to capture key insights.
Organization Management — List all folders and tags to keep your recording library structured and easy to browse.
Data Governance — Update file names and autonomously delete recordings when they are no longer needed.
Asset Access — Retrieve secure download URLs for your audio files to maintain local backups or share recordings.

The Plaud MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Plaud to CrewAI via MCP

Follow these steps to integrate the Plaud MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Plaud

Why Use CrewAI with the Plaud MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Plaud through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Plaud + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Plaud MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Plaud for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Plaud, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Plaud tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Plaud against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Plaud MCP Tools for CrewAI (10)

These 10 tools become available when you connect Plaud to CrewAI via MCP:

delete_file

Delete a Plaud recording

get_download_url

Get MP3 download URL for a recording

get_file_detail

Get details for a specific recording

get_me

Get Plaud account details

get_summary

Get AI summary for a recording

get_transcript

Get transcription for a recording

list_files

List all Plaud recordings

list_folders

List all recording folders

list_tags

List all recording tags

update_file

Update recording metadata

Example Prompts for Plaud in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Plaud immediately.

"List my last 5 recordings in Plaud."

"Summarize the recording titled 'Strategy Session'."

"Show me my recording folders."

Troubleshooting Plaud MCP Server with CrewAI

Common issues when connecting Plaud to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Plaud + CrewAI FAQ

Common questions about integrating Plaud MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.