> For the complete documentation index, see [llms.txt](https://docs.pending.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pending.ai/integrations/agentic-ai/mcp-server/connectors.md).

# Connectors

## Supported Connectors

For easier access, setup guides below describe how to access the MCP Server via a variety of common AI agent providers:

* [Claude](/integrations/agentic-ai/mcp-server/connectors/claude.md)

## Building MCP Clients

For cases where you are building your own MCP Client connector, access the MCP Server via the HTTPS transport scheme at `https://mcp.pending.ai/mcp`. Authentication is required for tool access and listing. It is recommended to use a framework that supports the OAuth2.0 authentication flow. Below shows a minimal example for using the Python [FastMCP](https://github.com/jlowin/fastmcp) package.

{% code title="FastMCP Example" %}

```python
from fastmcp import Client

async with Client("https://mcp.pending.ai/mcp", auth="oauth") as client:
    result = await client.list_tools()
```

{% endcode %}