qbash Connectors / Algolia

Algolia MCP serverand Python AI tasks

qbash hosts a Algolia MCP server you can use in Claude, ChatGPT, Codex, Cursor, Grok Bot and Muse.

Developers use qbash Tasks to write cloud-hosted Python functions that pair Algolia with models such as Claude and GPT.

MCP server

Build a Algolia MCP server

Give ChatGPT, Claude and your other AI tools access to Algolia through one server. You pick which Algolia tools it shares, and you can add other connectors, memory folders and Tasks to the same server.

How to set it up

Connect Algolia on the qbash Connectors page.
Create an MCP server and add the Algolia tools you want to share.
Paste the server URL into your client. It connects with OAuth or an access token.

Connect a client Package an MCP server

Python AI task

Write a Algolia task in Python

A qbash Task is a hosted Python function that calls Algolia and AI models.

Review the results for a product query

Search an index for a test query, then ask an inline prompt whether the top ten matches fit what a shopper typed.

main.py
report = qbash.integrations.algolia.search_index(
    index_name="products", query="wireless headphones",
    hits_per_page=10, page=0,
    attributes_to_retrieve=["objectID", "name", "price"],
)
hits = report.get("result", {}).get("hits", [])
if hits:
    review = qbash.ai.run_prompt(
        slug="algolia-result-review",
        variables={"query": "wireless headphones", "hits": json.dumps(hits)},
    )
    qbash.output(review)
else:
    qbash.output("No products matched this query.")

Sample search_index response

{
  "status": "success",
  "index_name": "products",
  "result": {
    "hits": [
      {
        "objectID": "headphones-1",
        "name": "Wireless headphones",
        "price": 79
      }
    ],
    "nbHits": 1,
    "page": 0
  }
}

What the Algolia connector can do

List Algolia indices visible to the configured API key. Requires the listIndexes ACL
Search a single Algolia index and return matching hits
Run multiple Algolia index searches in one request
Browse records from an Algolia index with cursor pagination
Fetch one Algolia object by object ID

See every Algolia method in the SDK Reference

qbash Tasks: AI applications in Python

A Task is a Python function that calls Algolia, your other connectors and models such as Claude, GPT, Gemini and Grok. qbash hosts and runs it.

Run Tasks on a schedule or from your team's tools

+ more

Deterministic where it counts Write the logic in Python and call a model only for the steps that need judgement, so the rest runs the same way every time.
Version controlled Every save is a revision you can compare and roll back.
Logged Each run records its inputs, output, errors and what started it.
Shared credentials Connections belong to your organization, so a Task keeps working when its author is away.

qbash Tasks Python AI SDK

Algolia MCP questions

Does Algolia have an official MCP server?

Yes. Algolia offers a hosted MCP Server in beta, set up from the Algolia dashboard with a generated URL per instance. The qbash server puts Algolia on one URL with your other connectors and makes the same methods available to Python tasks.

Which Algolia API key permissions does it need?

A search-only key runs searches and fetches. Browsing an index needs the browse ACL and listing indices needs listIndexes, so an index audit needs a key with both.