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Meilisearch MCP Server for Mastra AIGive Mastra AI instant access to 44 tools to Add Documents, Cancel Tasks, Chat Completion, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Meilisearch through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Meilisearch MCP Server for Mastra AI is a standout in the Loved By Devs category — giving your AI agent 44 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "meilisearch": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Meilisearch Agent",
    instructions:
      "You help users interact with Meilisearch " +
      "using 44 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Meilisearch?"
  );
  console.log(result.text);
}

main();
Meilisearch
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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 Meilisearch MCP Server

Connect your Meilisearch instance to any AI agent to automate your search engine management and data indexing workflows.

Mastra's agent abstraction provides a clean separation between LLM logic and Meilisearch tool infrastructure. Connect 44 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Index Management — Create, list, update, and delete indexes. Perform atomic swaps between indexes for zero-downtime deployments.
  • Document Operations — Add, update, or replace documents in bulk. Retrieve specific documents by ID or list them with advanced filtering and sorting.
  • Granular Deletion — Remove documents individually, in batches, or by applying complex filter expressions to clean up your data.
  • Metadata Inspection — Fetch detailed metadata for your indexes and documents to monitor your search engine's state.

The Meilisearch MCP Server exposes 44 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 44 Meilisearch tools available for Mastra AI

When Mastra AI connects to Meilisearch through Vinkius, your AI agent gets direct access to every tool listed below — spanning search-engine, indexing, full-text-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add documents on Meilisearch

Add or replace documents in an index

cancel

Cancel tasks on Meilisearch

Cancel pending or processing tasks

chat

Chat completion on Meilisearch

Request a chat completion from a workspace

configure

Configure experimental features on Meilisearch

Enable or disable experimental features

create

Create dump on Meilisearch

Trigger the creation of a Meilisearch dump

create

Create index on Meilisearch

Create a new index

create

Create key on Meilisearch

Create a new API key

create

Create snapshot on Meilisearch

Trigger the creation of a Meilisearch snapshot

delete

Delete all documents on Meilisearch

Delete all documents in an index

delete

Delete document on Meilisearch

Delete a single document

delete

Delete documents batch on Meilisearch

Delete multiple documents by ID

delete

Delete documents by filter on Meilisearch

Delete documents matching a filter

delete

Delete dynamic search rule on Meilisearch

Delete a dynamic search rule

delete

Delete index on Meilisearch

Delete an index

delete

Delete key on Meilisearch

Delete an API key

delete

Delete tasks on Meilisearch

Delete finished tasks

get

Get batch on Meilisearch

Get details of a specific batch

get

Get document on Meilisearch

Get a specific document by ID

get

Get health on Meilisearch

Check the health of the Meilisearch instance

get

Get index on Meilisearch

Get metadata for a specific index

get

Get index stats on Meilisearch

Get stats of a specific index

get

Get key on Meilisearch

Get details of a specific API key

get

Get settings on Meilisearch

Get all settings of an index

get

Get stats on Meilisearch

Get stats of all indexes and database size

get

Get task on Meilisearch

Get details of a specific task

get

Get version on Meilisearch

Get the version of the Meilisearch instance

list

List batches on Meilisearch

List task batches

list

List chats on Meilisearch

List chat workspaces

list

List documents on Meilisearch

List documents in an index

list

List dynamic search rules on Meilisearch

List dynamic search rules for an index

list

List experimental features on Meilisearch

List the status of experimental features

list

List indexes on Meilisearch

List all Meilisearch indexes

list

List keys on Meilisearch

List API keys

list

List tasks on Meilisearch

List asynchronous tasks

multi

Multi search on Meilisearch

Perform multiple search queries in a single call

reset

Reset settings on Meilisearch

Reset all settings of an index to defaults

search

Search documents on Meilisearch

Search for documents in an index

set

Set dynamic search rule on Meilisearch

Create or update a dynamic search rule

similar

Similar documents on Meilisearch

Find documents similar to a given document ID

swap

Swap indexes on Meilisearch

Swap multiple indexes atomically

update

Update documents on Meilisearch

Add or update documents (partial update)

update

Update index on Meilisearch

Update an index primary key

update

Update key on Meilisearch

Update an API key name or description

update

Update settings on Meilisearch

Update settings of an index

Connect Meilisearch to Mastra AI via MCP

Follow these steps to wire Meilisearch into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 44 tools from Meilisearch via MCP

Why Use Mastra AI with the Meilisearch MCP Server

Mastra AI provides unique advantages when paired with Meilisearch through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Meilisearch without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Meilisearch tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Meilisearch + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Meilisearch MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Meilisearch, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Meilisearch as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Meilisearch on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Meilisearch tools alongside other MCP servers

Example Prompts for Meilisearch in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Meilisearch immediately.

01

"List all my Meilisearch indexes and their primary keys."

02

"Add these three product documents to the 'products' index: [JSON data]."

03

"Get the document with ID 'prod_99' from the 'products' index, but only show the 'name' and 'price' fields."

Troubleshooting Meilisearch MCP Server with Mastra AI

Common issues when connecting Meilisearch to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Meilisearch + Mastra AI FAQ

Common questions about integrating Meilisearch MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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