How to Use the Beeceptor MCP in CrewAI

Q: How do I add Beeceptor to my CrewAI agents?

Pass the Vinkius endpoint URL directly into the mcps array when defining your Agent. The framework automatically discovers and registers all the proxy management tools.

Q: Can I limit which Beeceptor tools a CrewAI agent accesses?

Import MCPServerHTTP and use the tool filter. You give the monitoring agent access to listrequests while restricting createrule to the setup agent.

Deploy specialized CrewAI agents to monitor webhooks, manage mock APIs, and analyze request payloads.

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Connect Beeceptor MCP to CrewAI

Create your Vinkius account to connect Beeceptor to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Beeceptor with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Autonomous payload inspection

One agent watches the incoming traffic while another analyzes it. You assign `list_requests` to your monitoring specialist. It pulls the recent HTTP history and passes the raw JSON to the analyzer agent for schema validation. Bad requests get flagged immediately. A moderator agent takes the failing ID, fetches the full details using `get_request`, and writes a bug report. Nobody has to manually check the dashboard to find the broken webhook.

CrewAI mock API management

Integration testing requires constantly shifting backend responses. Your setup agent uses `create_rule` to build the initial endpoints. When the testing phase shifts, it reconfigures the priorities via `reorder_rules`. Handling the cleanup prevents conflicts. The teardown agent executes `delete_all_rules` and `delete_requests` at the end of the session. The entire crew coordinates this lifecycle without any human intervention.

Sync OpenAPI specs via MCP Server

Keeping documentation aligned with the mock server is tedious work. Assign a documentation agent to watch your repository. Whenever a YAML file changes, it triggers `upload_spec` to push the new definition directly to the endpoint. Large files require careful tracking. The agent polls `get_job_status` to ensure the upload finishes successfully. If something breaks, it notifies the engineering channel and pauses the rest of the crew.

Setup guide

Set up Beeceptor MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Beeceptor tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Beeceptor Analyst",
    goal="Access and analyze Beeceptor data via MCP.",
    backstory="Expert analyst with direct Beeceptor access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Beeceptor transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Beeceptor Analyst",
        goal="Access and analyze Beeceptor data via MCP.",
        backstory="Expert analyst with direct Beeceptor access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Beeceptor transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beeceptor. 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 Beeceptor MCP in CrewAI

Pass the Vinkius endpoint URL directly into the `mcps` array when defining your Agent. The framework automatically discovers and registers all the proxy management tools.

Import `MCPServerHTTP` and use the tool filter. You give the monitoring agent access to `list_requests` while restricting `create_rule` to the setup agent.

The manager agent delegates MCP Server tool execution to subordinates perfectly. It asks a junior agent to run `get_settings` and report back before making routing decisions.

The Python implementation handles SSE and Streamable HTTP natively. Operations execute synchronously, feeding the results straight into the agent's shared memory.

Your incoming HTTP headers and request bodies remain strictly confined to the Vinkius ephemeral sandbox. The container destroys itself after the run, leaving no trace of the intercepted traffic.

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