AI Workbench MCP

Name: AI Workbench MCP
Author: alptugharun

Read-only MCP server for reusable AI prompts and assistant blueprints.

by alptugharun(0) 0 installs

Free

Free account. Installing gives you the manifest plus copy-paste snippets.

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About

Imported from the official MCP registry - entry io.github.alptugharun/ai-workbench-mcp v1.0.0. Ratings and installs below are from this marketplace.

AI Workbench MCP

Read-only MCP server for reusable AI prompts and assistant blueprints.

Packages

pypi: alptugharun-ai-workbench-mcp @ 0.1.0a1

Source: https://github.com/alptugharun/ai-workbench-mcp

Registry entry: io.github.alptugharun/ai-workbench-mcp

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

# after Install: the listing is in your workspace's routing pool - nothing else to configure
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
# or pin it on the OpenAI-compatible endpoint: {"model": "mcp-io-github-alptugharun-ai-workbench-mcp", ...}

Installed into a catalogue, chosen by a router

Install AI Workbench MCP and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

Photo: RDNE Stock project

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

mcp-io-github-alptugharun-ai-workbench-mcp.ocm.jsonjson

{
  "ocm": "1",
  "id": "mcp-io-github-alptugharun-ai-workbench-mcp",
  "kind": "tool",
  "name": "AI Workbench MCP",
  "description": "Read-only MCP server for reusable AI prompts and assistant blueprints.",
  "publisher": "alptugharun",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "mcp",
      "mcp-server",
      "pypi",
      "mcp-registry"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Read-only MCP server for reusable AI prompts and assistant blueprints."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "mcp-registry",
      "repository": "https://github.com/alptugharun/ai-workbench-mcp",
      "path": "server.json",
      "ref": "0.1.0a1",
      "url": "https://github.com/alptugharun/ai-workbench-mcp",
      "key": "io.github.alptugharun/ai-workbench-mcp",
      "registry": "https://registry.modelcontextprotocol.io"
    }
  }
}

Fetch it by URL: GET /api/v1/registry/mcp-io-github-alptugharun-ai-workbench-mcp/manifest?version=1.0.0

About

AI Workbench MCP

Packages

Use it

Install AI Workbench MCP and it becomes one more candidate the router can pick - when it fits.

Manifest

Reviews