MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and
MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configuration, setup, and. The mcphub mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 4 defined tools rather than through you.
MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. It enables seamless integration of MCP servers into any AI framework, allowing developers to easily configure, set up, and manage MCP servers within their applications. Whether you're using OpenAI Agents, LangChain, or Autogen, MCPHub provides a unified way to connect your AI services with MCP tools and resources.
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverConfiguration — The Configuration tool exposed by this serverWorkflow — 1. Configuration & Setup - Params Hub reads configuration - Servers Manager sets up required servers - Servers start and become availableTesting — The Testing tool exposed by this serverYou will need 5 environment variables: AZURE_STORAGE_CONNECTION_STRING, AZURE_STORAGE_CONTAINER_NAME, AZURE_STORAGE_BLOB_NAME, OPENAI_API_KEY, PYPI_API_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Ensure you have the following tools installed: ```bash
Installation goes through your MCP client rather than a global install: point it at npx on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCPHub's toolset — Prerequisites, Configuration, Workflow and 1 more — is a fair guide to whether it matches your workflow. It is maintained by Cognitive-Stack; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Configuration | The Configuration tool exposed by this server. |
| Workflow | 1. **Configuration & Setup** - Params Hub reads configuration - Servers Manager sets up required servers - Servers start and become available |
| Testing | The Testing tool exposed by this server. |
{
"mcpServers": {
"mcphub-cognitive-stack": {
"command": "npx",
"args": ["-y", "npx"],
"env": {
"AZURE_STORAGE_CONNECTION_STRING": "your-value",
"AZURE_STORAGE_CONTAINER_NAME": "your-value",
"AZURE_STORAGE_BLOB_NAME": "your-value",
"OPENAI_API_KEY": "your-value",
"PYPI_API_TOKEN": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Ensure you have the following tools installed: ```bash
| Variable | Description | Required |
|---|---|---|
| AZURE_STORAGE_CONNECTION_STRING | Configuration value read at startup. | Optional |
| AZURE_STORAGE_CONTAINER_NAME | Configuration value read at startup. | Optional |
| AZURE_STORAGE_BLOB_NAME | Configuration value read at startup. | Optional |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| PYPI_API_TOKEN | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.