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Swiftype MCP Server for AutoGen 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Swiftype as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="swiftype_agent",
            tools=tools,
            system_message=(
                "You help users with Swiftype. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Swiftype
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* 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 Swiftype MCP Server

Empower your conversational AI with robust enterprise search capabilities by securely integrating the Swiftype (Elastic) MCP connector. Stop navigating web dashbaords to manage indexing logic; allow your LLM to act as a direct data architect interacting with your core Swiftype endpoints natively. With full support for reading, creating, and deleting JSON documents on the fly, inspecting live search engine queries, and querying direct analytical metrics like top clicks—this connector brings headless search administration straight to your preferred prompt environment.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Swiftype tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Headless Search & Suggestions — Execute strict queries interrogating custom content engines running st.post_search and provide predictive autocompletes processing st.post_suggest.
  • CRUD Document Indexing — Pull exact active records from isolated data maps using st.list_documents, inject new payload structures in bulk operating st.create_documents, or vaporize explicit keys commanding st.delete_documents.
  • Architectural Discovery — Browse registered core scopes applying st.list_engines and parse schema blueprints identifying object hierarchies with st.list_doc_types.
  • Search Analytics & CTR — Uncover real-world operational user conversion intent evaluating actual volume via st.analytics_top_searches and calculating active hit paths invoking st.analytics_top_clicks.

The Swiftype MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 Swiftype to AutoGen via MCP

Follow these steps to integrate the Swiftype MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 10 tools from Swiftype automatically

Why Use AutoGen with the Swiftype MCP Server

AutoGen provides unique advantages when paired with Swiftype through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Swiftype tools to solve complex tasks

02

Role-based architecture lets you assign Swiftype tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Swiftype tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Swiftype tool responses in an isolated environment

Swiftype + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Swiftype MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Swiftype while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Swiftype, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Swiftype data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Swiftype responses in a sandboxed execution environment

Swiftype MCP Tools for AutoGen (10)

These 10 tools become available when you connect Swiftype to AutoGen via MCP:

01

st.analytics_top_clicks

Identify precise active arrays spanning native Hold parsing

02

st.analytics_top_searches

Inspect deep internal arrays mitigating specific Plan Math

03

st.create_documents

Enumerate explicitly attached structured rules exporting active Billing

04

st.delete_documents

json` eliminating cached pages permanently erasing bounds metrics from search. Dispatch an automated validation check routing explicit Gateway history

05

st.list_doc_types

json` extracting schema blueprints enforcing exact map types correctly. Retrieve explicit Cloud logging tracing explicit Vault limits

06

st.list_documents

json` dumping all stored metadata physically tracking IDs per document type. Irreversibly vaporize explicit validations extracting rich Churn flags

07

st.list_domains

json` verifying automated crawler limits mapped inside explicit index scopes. Identify precise active arrays spanning native Gateway auth

08

st.list_engines

json` extracting all active isolated Elastic indices bound per tenant. Identify bounded CRM records inside the Headless Swiftype Platform

09

st.post_search

json` firing raw queries into the specific Engine returning faceted JSON hierarchies. Perform structural extraction of properties driving active Account logic

10

st.post_suggest

json` bounding predictive keys and spelling tolerant matches decoupled from main indexing. Provision a highly-available JSON Payload generating hard Customer bindings

Example Prompts for Swiftype in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Swiftype immediately.

01

"List all my available Swiftype search engines, then run a search for 'documentation' on the most relevant one and show me the top 3 analytics clicks it generated last week."

02

"List all active engines in our Swiftype account."

03

"Run a test suggestion for 'passw' in the internal wiki engine."

Troubleshooting Swiftype MCP Server with AutoGen

Common issues when connecting Swiftype to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Swiftype + AutoGen FAQ

Common questions about integrating Swiftype MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Swiftype tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Swiftype to AutoGen

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.