How to Use the AddSearch MCP in CrewAI

Q: How do I configure the AddSearch MCP Server for a CrewAI team?

You pass your Vinkius HTTP endpoint URL directly into the mcps parameter when defining your CrewAI agents. This gives every agent in your crew instant access to tools like searchkeyword and autosuggest.

Q: Can I restrict specific AddSearch tools to certain CrewAI agents?

Yes, you can use the MCPServerHTTP class from crewai.mcp along with a tool filter. This lets you give your analyst agent access to statsqueries while restricting deletedocument to your moderator agent.

Q: How do CrewAI agents handle pagination when reading AddSearch indexes?

Your agents use the searchpagination tool to step through large sets of search results sequentially. The crew's shared memory keeps track of the current page index so agents do not request duplicate data during analysis.

Deploy specialized CrewAI agent teams to monitor search analytics and automatically update your site index.

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Connect AddSearch MCP to CrewAI

Create your Vinkius account to connect AddSearch 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 AddSearch with CrewAI

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Coordinate Search Optimization in CrewAI

The `stats_queries` tool allows your analyst agent to pull search query analytics and identify what your visitors are looking for. This agent then hands off the list of trending keywords to a writer agent in your CrewAI setup. Working together, the agents can draft missing content and use `index_document` to push the new pages directly into your search index. This automates your entire content gap response pipeline.

Filter and Sort Search Results via MCP Server

The `search_filtered` tool gives your research agent the power to query your index using precise metadata filters. This agent can isolate specific product lines or categories to analyze content density. By combining this with `search_sorted`, the agent ranks results by relevance or date before passing them to your moderator agent. Your crew gets clean, structured data to make decisions.

Automate Index Maintenance with Agent Teams

The `delete_document` tool lets your moderator agent prune outdated or broken links from your index. A monitor agent runs scheduled checks across your site and flags dead URLs for removal. Once flagged, the moderator agent executes the deletion and runs `list_documents` to verify the index is clean. This keeps your search experience fast and accurate without human oversight.

Setup guide

Set up AddSearch 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 AddSearch tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AddSearch 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="AddSearch Analyst",
        goal="Access and analyze AddSearch data via MCP.",
        backstory="Expert analyst with direct AddSearch access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AddSearch 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 AddSearch. 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 AddSearch MCP in CrewAI

You pass your Vinkius HTTP endpoint URL directly into the `mcps` parameter when defining your CrewAI agents. This gives every agent in your crew instant access to tools like `search_keyword` and `autosuggest`.

Yes, you can use the `MCPServerHTTP` class from `crewai.mcp` along with a tool filter. This lets you give your analyst agent access to `stats_queries` while restricting `delete_document` to your moderator agent.

Your agents use the `search_pagination` tool to step through large sets of search results sequentially. The crew's shared memory keeps track of the current page index so agents do not request duplicate data during analysis.

The server runs over SSE and HTTP transports managed by Vinkius. CrewAI connects directly to this endpoint, handling all tool schemas and execution loops automatically.

Yes, your indexed site documents, search queries, and click analytics are protected by end-to-end encryption. Vinkius processes all tool calls in ephemeral V8 isolates that instantly wipe memory after execution, ensuring your search metrics are never exposed.

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