Metorial

v1.0.0Business Applicationsstable

🎖️ 📇 ☁️ Connect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring included

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What is Metorial?

Metorial is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🎖️ 📇 ☁️ connect ai agents to 600+ integrations with a single interface - oauth, scaling, and monitoring included

🎖️ 📇 ☁️ Connect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring included

This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 🎖️ 📇 ☁️ Connect AI agents to 600+ integrations with a single

Use Cases

Connect AI agents to 600+ integrations
Unified interface with OAuth, scaling, and monitoring
metorial

Maintainer

LicenseApache-2.0
Languagetypescript
Versionv1.0.0
UpdatedMay 21, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx metorial

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Metorial

Metorial is an identity and access control layer that connects AI agents to over 1,200 SaaS and enterprise integrations through a single unified interface, handling OAuth flows, API key management, RBAC permissions, SAML SSO, and audit logging automatically. Rather than hardcoding credentials into each agent, developers create provider deployments through the Metorial dashboard and then expose those integrations as MCP tools at runtime. This makes it straightforward to build secure multi-tenant AI agents that can act on Slack, GitHub, Salesforce, and hundreds of other platforms without managing authentication infrastructure.

Prerequisites

  • Node.js 18+ or Python 3.9+ depending on your chosen SDK
  • A Metorial account with a valid METORIAL_API_KEY from the dashboard
  • At least one provider deployment configured in the Metorial dashboard (e.g., Slack, GitHub)
  • An MCP-compatible client such as Claude Desktop or a compatible agent framework (Anthropic SDK, Vercel AI SDK, PydanticAI)
  • Docker if deploying the Metorial container in a self-hosted environment
1

Create a Metorial account and configure a provider

Sign up at metorial.com, create a provider deployment for the integration you want (e.g., Slack or GitHub), and complete any required OAuth setup. Copy your METORIAL_API_KEY from account settings.

2

Install the Metorial SDK

Add the Metorial package and your chosen AI framework SDK to your project.

# Node.js / TypeScript
npm install metorial @metorial/ai-sdk @ai-sdk/anthropic ai

# Python
pip install metorial pydantic-ai python-dotenv
3

Initialize a Metorial session and expose tools

In your agent code, create a Metorial client, open a session for the desired provider deployment, and pass the session tools to your AI framework. The session handles authentication automatically.

import Metorial from 'metorial';

const metorial = new Metorial({ apiKey: process.env.METORIAL_API_KEY });
const deployment = await metorial.providerDeployments.create({
  providerId: 'slack'
});
const session = await metorial.connect(deployment.id);
const tools = await session.tools(); // pass to your AI framework
4

Configure Claude Desktop to use the Metorial MCP server

Add the Metorial server to your claude_desktop_config.json. The METORIAL_API_KEY env var is the only required credential.

{
  "mcpServers": {
    "metorial": {
      "command": "npx",
      "args": ["metorial"],
      "env": {
        "METORIAL_API_KEY": "your_metorial_api_key"
      }
    }
  }
}
5

Handle OAuth setup sessions for end users

When an integration requires user-level OAuth (e.g., connecting a user's personal Slack account), create a setup session and direct the user to the returned URL to complete authorization.

const setupSession = await metorial.providerDeployments.setupSessions.create(deployment.id);
const authUrl = setupSession.url; // redirect user here
await metorial.waitForSetupSession(setupSession.id);

Metorial Examples

Client configuration

Claude Desktop configuration for the Metorial MCP server with the required API key.

{
  "mcpServers": {
    "metorial": {
      "command": "npx",
      "args": ["metorial"],
      "env": {
        "METORIAL_API_KEY": "your_metorial_api_key"
      }
    }
  }
}

Prompts to try

Once connected through Metorial, these prompts exercise the integrations you have configured.

- "Send a Slack message to the #general channel saying the deployment is complete"
- "Create a GitHub issue in my-org/my-repo titled 'Fix login bug' with the label 'bug'"
- "Search the web for the latest AI agent frameworks and summarize the top results"
- "List all open Salesforce opportunities assigned to me"
- "Post a message to our Discord server's announcements channel"

Troubleshooting Metorial

All tool calls fail with an authentication error referencing METORIAL_API_KEY

Verify that the METORIAL_API_KEY environment variable is correctly set in your config and that the key has not been revoked. Generate a new key from the Metorial dashboard if needed.

OAuth integrations return 'setup required' errors when the agent tries to use them

The end user needs to complete the OAuth flow. Create a setup session (providerDeployments.setupSessions.create), direct the user to the returned URL, and call waitForSetupSession before attempting tool calls.

The npx metorial command hangs or fails with a module resolution error

The package may not yet be on npm. Install it explicitly with npm install -g metorial first, or use the Docker image from the metorial/metorial repository with docker compose up.

Frequently Asked Questions about Metorial

What is Metorial?

Metorial is a Model Context Protocol (MCP) server that 🎖️ 📇 ☁️ connect ai agents to 600+ integrations with a single interface - oauth, scaling, and monitoring included It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Metorial?

Follow the installation instructions on the Metorial GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Metorial?

Metorial works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Metorial free to use?

Yes, Metorial is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "metorial": { "command": "npx", "args": ["-y", "metorial"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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