s2-streamstore

s2-streamstore

Official MCP server for the s2.dev serverless stream platform

Category
Visit Server

README

streamstore

Developer-friendly & type-safe TypeScript SDK specifically catered to leverage streamstore API.

<div align="left"> <a href="https://www.speakeasy.com/?utm_source=streamstore&utm_campaign=typescript"><img src="https://custom-icon-badges.demolab.com/badge/-Built%20By%20Speakeasy-212015?style=for-the-badge&logoColor=FBE331&logo=speakeasy&labelColor=545454" /></a> <a href="https://opensource.org/licenses/MIT"> <img src="https://img.shields.io/badge/License-MIT-blue.svg" style="width: 100px; height: 28px;" /> </a> </div>

<br /><br /> <!-- Start Summary [summary] -->

Summary

S2 API: Serverless API for streaming data backed by object storage. <!-- End Summary [summary] -->

<!-- Start Table of Contents [toc] -->

Table of Contents

<!-- $toc-max-depth=2 -->

<!-- End Table of Contents [toc] -->

<!-- Start SDK Installation [installation] -->

SDK Installation

The SDK can be installed with either npm, pnpm, bun or yarn package managers.

NPM

npm add @s2-dev/streamstore

PNPM

pnpm add @s2-dev/streamstore

Bun

bun add @s2-dev/streamstore

Yarn

yarn add @s2-dev/streamstore zod

# Note that Yarn does not install peer dependencies automatically. You will need
# to install zod as shown above.

[!NOTE] This package is published with CommonJS and ES Modules (ESM) support.

Model Context Protocol (MCP) Server

This SDK is also an installable MCP server where the various SDK methods are exposed as tools that can be invoked by AI applications.

Node.js v20 or greater is required to run the MCP server from npm.

<details> <summary>Claude installation steps</summary>

Add the following server definition to your claude_desktop_config.json file:

{
  "mcpServers": {
    "S2": {
      "command": "npx",
      "args": [
        "-y", "--package", "@s2-dev/streamstore",
        "--",
        "mcp", "start",
        "--access-token", "..."
      ]
    }
  }
}

</details>

<details> <summary>Cursor installation steps</summary>

Create a .cursor/mcp.json file in your project root with the following content:

{
  "mcpServers": {
    "S2": {
      "command": "npx",
      "args": [
        "-y", "--package", "@s2-dev/streamstore",
        "--",
        "mcp", "start",
        "--access-token", "..."
      ]
    }
  }
}

</details>

You can also run MCP servers as a standalone binary with no additional dependencies. You must pull these binaries from available Github releases:

curl -L -o mcp-server \
    https://github.com/{org}/{repo}/releases/download/{tag}/mcp-server-bun-darwin-arm64 && \
chmod +x mcp-server

If the repo is a private repo you must add your Github PAT to download a release -H "Authorization: Bearer {GITHUB_PAT}".

{
  "mcpServers": {
    "Todos": {
      "command": "./DOWNLOAD/PATH/mcp-server",
      "args": [
        "start"
      ]
    }
  }
}

For a full list of server arguments, run:

npx -y --package @s2-dev/streamstore -- mcp start --help

<!-- End SDK Installation [installation] -->

<!-- Start Requirements [requirements] -->

Requirements

For supported JavaScript runtimes, please consult RUNTIMES.md. <!-- End Requirements [requirements] -->

<!-- Start SDK Example Usage [usage] -->

SDK Example Usage

Example

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.accessTokens.listAccessTokens({});

  console.log(result);
}

run();

<!-- End SDK Example Usage [usage] -->

<!-- Start Authentication [security] -->

Authentication

Per-Client Security Schemes

This SDK supports the following security scheme globally:

Name Type Scheme Environment Variable
accessToken http HTTP Bearer S2_ACCESS_TOKEN

To authenticate with the API the accessToken parameter must be set when initializing the SDK client instance. For example:

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.accessTokens.listAccessTokens({});

  console.log(result);
}

run();

<!-- End Authentication [security] -->

<!-- Start Available Resources and Operations [operations] -->

Available Resources and Operations

<details open> <summary>Available methods</summary>

accessTokens

basins

metrics

records

streams

</details> <!-- End Available Resources and Operations [operations] -->

<!-- Start Standalone functions [standalone-funcs] -->

Standalone functions

All the methods listed above are available as standalone functions. These functions are ideal for use in applications running in the browser, serverless runtimes or other environments where application bundle size is a primary concern. When using a bundler to build your application, all unused functionality will be either excluded from the final bundle or tree-shaken away.

To read more about standalone functions, check FUNCTIONS.md.

<details>

<summary>Available standalone functions</summary>

</details> <!-- End Standalone functions [standalone-funcs] -->

<!-- Start Server-sent event streaming [eventstream] -->

Server-sent event streaming

Server-sent events are used to stream content from certain operations. These operations will expose the stream as an async iterable that can be consumed using a for await...of loop. The loop will terminate when the server no longer has any events to send and closes the underlying connection.

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.records.read({
    stream: "<value>",
    s2Basin: "<value>",
  });

  for await (const event of result) {
    // Handle the event
    console.log(event);
  }
}

run();

<!-- End Server-sent event streaming [eventstream] -->

<!-- Start Pagination [pagination] -->

Pagination

Some of the endpoints in this SDK support pagination. To use pagination, you make your SDK calls as usual, but the returned response object will also be an async iterable that can be consumed using the for await...of syntax.

Here's an example of one such pagination call:

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.basins.listBasins({});

  for await (const page of result) {
    console.log(page);
  }
}

run();

<!-- End Pagination [pagination] -->

<!-- Start Retries [retries] -->

Retries

Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.

To change the default retry strategy for a single API call, simply provide a retryConfig object to the call:

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.accessTokens.listAccessTokens({}, {
    retries: {
      strategy: "backoff",
      backoff: {
        initialInterval: 1,
        maxInterval: 50,
        exponent: 1.1,
        maxElapsedTime: 100,
      },
      retryConnectionErrors: false,
    },
  });

  console.log(result);
}

run();

If you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  retryConfig: {
    strategy: "backoff",
    backoff: {
      initialInterval: 1,
      maxInterval: 50,
      exponent: 1.1,
      maxElapsedTime: 100,
    },
    retryConnectionErrors: false,
  },
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.accessTokens.listAccessTokens({});

  console.log(result);
}

run();

<!-- End Retries [retries] -->

<!-- Start Error Handling [errors] -->

Error Handling

S2Error is the base class for all HTTP error responses. It has the following properties:

Property Type Description
error.message string Error message
error.statusCode number HTTP response status code eg 404
error.headers Headers HTTP response headers
error.body string HTTP body. Can be empty string if no body is returned.
error.rawResponse Response Raw HTTP response
error.data$ Optional. Some errors may contain structured data. See Error Classes.

Example

import { S2 } from "@s2-dev/streamstore";
import * as errors from "@s2-dev/streamstore/models/errors";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  try {
    const result = await s2.accessTokens.listAccessTokens({});

    console.log(result);
  } catch (error) {
    // The base class for HTTP error responses
    if (error instanceof errors.S2Error) {
      console.log(error.message);
      console.log(error.statusCode);
      console.log(error.body);
      console.log(error.headers);

      // Depending on the method different errors may be thrown
      if (error instanceof errors.ErrorResponse) {
        console.log(error.data$.code); // string
        console.log(error.data$.message); // string
      }
    }
  }
}

run();

Error Classes

Primary errors:

<details><summary>Less common errors (9)</summary>

<br />

Network errors:

Inherit from S2Error:

  • FencingToken: Fencing token did not match. The expected fencing token is returned. Status code 412. Applicable to 1 of 21 methods.*
  • SeqNum: Sequence number did not match the tail of the stream. The expected next sequence number is returned. Status code 412. Applicable to 1 of 21 methods.*
  • TailResponse: . Status code 416. Applicable to 1 of 21 methods.*
  • ResponseValidationError: Type mismatch between the data returned from the server and the structure expected by the SDK. See error.rawValue for the raw value and error.pretty() for a nicely formatted multi-line string.

</details>

* Check the method documentation to see if the error is applicable. <!-- End Error Handling [errors] -->

<!-- Start Server Selection [server] -->

Server Selection

Override Server URL Per-Client

The default server can be overridden globally by passing a URL to the serverURL: string optional parameter when initializing the SDK client instance. For example:

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  serverURL: "https://aws.s2.dev/v1",
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.accessTokens.listAccessTokens({});

  console.log(result);
}

run();

Override Server URL Per-Operation

The server URL can also be overridden on a per-operation basis, provided a server list was specified for the operation. For example:

import { S2 } from "@s2-dev/streamstore";

const s2 = new S2({
  accessToken: process.env["S2_ACCESS_TOKEN"] ?? "",
});

async function run() {
  const result = await s2.streams.listStreams({
    s2Basin: "<value>",
  }, {
    serverURL: "https://.b.aws.s2.dev/v1",
  });

  for await (const page of result) {
    console.log(page);
  }
}

run();

<!-- End Server Selection [server] -->

<!-- Start Custom HTTP Client [http-client] -->

Custom HTTP Client

The TypeScript SDK makes API calls using an HTTPClient that wraps the native Fetch API. This client is a thin wrapper around fetch and provides the ability to attach hooks around the request lifecycle that can be used to modify the request or handle errors and response.

The HTTPClient constructor takes an optional fetcher argument that can be used to integrate a third-party HTTP client or when writing tests to mock out the HTTP client and feed in fixtures.

The following example shows how to use the "beforeRequest" hook to to add a custom header and a timeout to requests and how to use the "requestError" hook to log errors:

import { S2 } from "@s2-dev/streamstore";
import { HTTPClient } from "@s2-dev/streamstore/lib/http";

const httpClient = new HTTPClient({
  // fetcher takes a function that has the same signature as native `fetch`.
  fetcher: (request) => {
    return fetch(request);
  }
});

httpClient.addHook("beforeRequest", (request) => {
  const nextRequest = new Request(request, {
    signal: request.signal || AbortSignal.timeout(5000)
  });

  nextRequest.headers.set("x-custom-header", "custom value");

  return nextRequest;
});

httpClient.addHook("requestError", (error, request) => {
  console.group("Request Error");
  console.log("Reason:", `${error}`);
  console.log("Endpoint:", `${request.method} ${request.url}`);
  console.groupEnd();
});

const sdk = new S2({ httpClient });

<!-- End Custom HTTP Client [http-client] -->

<!-- Start Debugging [debug] -->

Debugging

You can setup your SDK to emit debug logs for SDK requests and responses.

You can pass a logger that matches console's interface as an SDK option.

[!WARNING] Beware that debug logging will reveal secrets, like API tokens in headers, in log messages printed to a console or files. It's recommended to use this feature only during local development and not in production.

import { S2 } from "@s2-dev/streamstore";

const sdk = new S2({ debugLogger: console });

You can also enable a default debug logger by setting an environment variable S2_DEBUG to true. <!-- End Debugging [debug] -->

<!-- Placeholder for Future Speakeasy SDK Sections -->

Development

Maturity

This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.

Contributions

While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.

SDK Created by Speakeasy

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured