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Alpic MCP Server for Claude

Alpic hosted MCP server to manage cloud-hosted MCP projects—deployments, debugging, and analytics—for apps built and shipped on the Alpic platform.

HarnessClaude CodeCursorClaude Desktop
Review first review before installing

Open the source and read safety notes before installing.

Safety notes

  • Management tools may trigger redeployments or configuration changes on hosted MCP servers.
  • Analytics and logs may contain end-user queries from your deployed MCP apps.
  • Do not share Alpic credentials across untrusted chat sessions.
  • Verify target project/environment before approving destructive deploy actions.

Privacy notes

  • Project metadata, deployment logs, and analytics are processed by Alpic.
  • End-user traffic to your deployed MCP apps is subject to Alpic platform terms.
  • Store Alpic auth tokens in connector secrets, not in repositories.

Prerequisites

  • Alpic account with at least one MCP project deployed on Alpic cloud.
  • Claude or another MCP client with streamable HTTP connector support.
  • Authentication to Alpic (API key or OAuth depending on connector setup).
  • Understanding that this server manages Alpic-hosted projects, not arbitrary third-party MCP URLs.

Schema details

Install type
cli
Reading time
4 min
Difficulty score
35
Troubleshooting
Yes
Breaking changes
No
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "alpic": {
      "url": "https://mcp.alpic.ai",
      "type": "http"
    }
  }
}

About this resource

Overview

Alpic is a cloud platform for building, deploying, monitoring, and distributing ChatGPT apps and MCP servers. The Alpic MCP server lets operators manage projects hosted on Alpic—checking deployment health, debugging builds, and reviewing analytics—directly from Claude and other MCP clients.

Platform documentation is at docs.alpic.ai. The management connector is hosted at https://mcp.alpic.ai.

Features

  • Manage Alpic MCP projects and environments from chat.
  • Debug deployment failures and inspect build output.
  • Review analytics for distributed MCP apps.
  • Streamable HTTP and SSE-compatible hosted endpoint.
  • Integrates with Alpic's gateway, auth, and serverless hosting.

Use Cases

  • Check why a deployed MCP server failed its /mcp health check.
  • Review usage analytics after launching a ChatGPT app.
  • Compare staging and production deployment status.
  • Trigger redeploy after fixing repository configuration.
  • Audit OAuth and API-key auth settings on a hosted server.

Installation

Claude (Connectors)

  1. Sign in at app.alpic.ai and deploy or link an MCP project.
  2. Add https://mcp.alpic.ai as a custom MCP connector.
  3. Authenticate with your Alpic account or token.
  4. Invoke project management tools from Claude.

Claude Code

claude mcp add --transport http alpic https://mcp.alpic.ai
claude mcp list

Other MCP clients

Add the connector using the JSON configuration below in your MCP client settings.

Configuration

{
  "mcpServers": {
    "alpic": {
      "url": "https://mcp.alpic.ai",
      "type": "http"
    }
  }
}

For authenticated setups:

{
  "mcpServers": {
    "alpic": {
      "url": "https://mcp.alpic.ai",
      "type": "http",
      "headers": {
        "Authorization": "Bearer YOUR_ALPIC_TOKEN"
      }
    }
  }
}

Authenticate with Alpic credentials; unauthenticated calls cannot manage your projects.

Examples

Deploy status

List my Alpic MCP projects and show the latest deployment status for each.

Debug 404

Why did my Alpic deployment fail the /mcp health check?

Analytics

Summarise MCP app traffic for my production project over the last 7 days.

Security

  • Confirm project and environment before redeploy or delete operations.
  • Treat analytics exports as potentially containing user query metadata.
  • Use separate Alpic workspaces for production and experimentation.

Troubleshooting

401 unauthorized

Re-authenticate the connector with your Alpic account.

Project not found

Verify the project ID and that your token has workspace access.

404 on managed deploy

Ensure the target server exposes /mcp as Alpic expects.

Stale analytics

Allow time for telemetry ingestion; refresh after a few minutes.

Duplicate Check

No existing Alpic management MCP entry was found in content/mcp/. This differs from generic cloud deploy MCP servers because it operates on Alpic-hosted MCP projects specifically.

Source citations

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How it compares

Alpic MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

FieldAlpic MCP Server for Claude

Alpic hosted MCP server to manage cloud-hosted MCP projects—deployments, debugging, and analytics—for apps built and shipped on the Alpic platform.

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AppDeploy MCP Server for Claude

AppDeploy hosted MCP server for chat-native full-stack web app deployment with templates, QA snapshots, version rollback, and live public URLs from Claude or ChatGPT.

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Auxen MCP Server for Claude

Official Auxen.ai remote MCP server for listing GPU models and instances, checking account balance, and provisioning or destroying inference instances from Claude via OAuth 2.1 or API keys.

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AWS Services MCP Server - MCP Servers

Comprehensive AWS cloud services integration for infrastructure management, deployment, and monitoring

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Trust
Install riskReview firstReview firstReview firstLow risk
Notes Safety Privacy Safety Privacy Safety Privacy Safety Privacy
Categorymcpmcpmcpmcp
Sourcesource-backedsource-backedsource-backedfirst-party
AuthorAlpicAppDeployAuxen AIAWS Labs
Added2026-06-142026-06-142026-06-142025-09-16
Platforms
Claude CodeCursorClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Source repo
Safety notesManagement tools may trigger redeployments or configuration changes on hosted MCP servers. Analytics and logs may contain end-user queries from your deployed MCP apps. Do not share Alpic credentials across untrusted chat sessions. Verify target project/environment before approving destructive deploy actions.deploy_app publishes publicly reachable URLs; review app content before deploying. delete_app permanently removes apps—use only on explicit user request. Deployed apps may access AppDeploy-provided database, storage, and auth services. OAuth sessions grant persistent deploy access until disconnected.provision_model creates billable GPU instances; confirm model, region, and cost before approving tool calls. destroy_instance permanently removes running instances and cannot be undone through MCP. API keys prefixed auxen_live_* operate on production resources; use auxen_test_* keys in development. OAuth tokens grant persistent account access until revoked in Auxen or the MCP client.Scope AWS credentials to the intended accounts, regions, and services because infrastructure actions can affect production resources.
Privacy notesProject metadata, deployment logs, and analytics are processed by Alpic. End-user traffic to your deployed MCP apps is subject to Alpic platform terms. Store Alpic auth tokens in connector secrets, not in repositories.App source, deployment logs, and QA snapshots are stored on AppDeploy infrastructure. Public URLs may expose app functionality and any data users submit to the deployed app. Guest OAuth still ties deployments to an AppDeploy identity—avoid sharing accounts.MCP tool results can expose account balance, instance IDs, model names, and deployment metadata. Provisioning requests are processed by Auxen.ai under its own data-handling and billing terms. Do not paste live API keys or OAuth tokens into public issues or shared chat logs.AWS resource names, configuration, metrics, logs, ARNs, and account metadata may be exposed through tool calls and responses.
Prerequisites
  • Alpic account with at least one MCP project deployed on Alpic cloud.
  • Claude or another MCP client with streamable HTTP connector support.
  • Authentication to Alpic (API key or OAuth depending on connector setup).
  • Understanding that this server manages Alpic-hosted projects, not arbitrary third-party MCP URLs.
  • AppDeploy account via OAuth (Google, Apple, X, or Guest).
  • Claude Pro/Team with Connectors, ChatGPT, Cursor, Codex, or Grok MCP support.
  • Clear description of the app you want deployed before invoking write tools.
  • Awareness that deploy_app and delete_app are destructive operations.
  • Auxen.ai account with billing enabled for production instance provisioning.
  • Claude Pro, Team, or Enterprise with Connectors support, or another MCP client with remote HTTP connectors.
  • OAuth 2.1 + PKCE flow support in your MCP client, or an Auxen API key prefixed with auxen_live_ or auxen_test_.
  • Understanding that provision_model and destroy_instance are destructive and may incur GPU charges.
  • Python 3.8+ installed for running uvx commands
  • uv package manager installed (provides uvx command for running Python packages)
  • AWS account with active credentials and appropriate IAM permissions
  • AWS credentials configured via one of: IAM access keys (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), AWS profile (~/.aws/credentials), or IAM role (for EC2/ECS)
Install
claude mcp add --transport http alpic https://mcp.alpic.ai
claude mcp add --transport http appdeploy https://api-v2.appdeploy.ai/mcp
claude mcp add --transport http auxen https://api.auxen.ai/mcp
uvx awslabs.core-mcp-server@latest && claude mcp list
Config
{
  "mcpServers": {
    "alpic": {
      "url": "https://mcp.alpic.ai",
      "type": "http",
      "headers": {
        "Authorization": "Bearer YOUR_ALPIC_TOKEN"
      }
    }
  }
}
{
  "mcpServers": {
    "appdeploy": {
      "url": "https://api-v2.appdeploy.ai/mcp",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "auxen": {
      "url": "https://api.auxen.ai/mcp",
      "type": "http",
      "headers": {
        "Authorization": "Bearer auxen_live_YOUR_KEY"
      }
    }
  }
}
{
  "mcpServers": {
    "aws": {
      "env": {
        "AWS_REGION": "${AWS_REGION:-us-east-1}",
        "AWS_PROFILE": "${AWS_PROFILE}",
        "FASTMCP_LOG_LEVEL": "${FASTMCP_LOG_LEVEL:-ERROR}"
      },
      "args": [
        "awslabs.core-mcp-server@latest"
      ],
      "command": "uvx",
      "type": "stdio"
    }
  }
}
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