Typecast Api Sample MCP Server

MCP Server for typecast-api, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Typecast API

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What is the Typecast Api Sample MCP server?

If you already use Typecast Api Sample, the typecast api sample mcp server is the piece that lets your assistant work with it directly. MCP Server for typecast-api, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Typecast API through the Model Context Protocol.

Installation

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Dependencies — This project requires Python 3.10 or higher and uses uv for package management

Credentials and setup notes

Configuration is passed through the environment: TYPECAST_API_KEY, TYPECAST_OUTPUT_DIR, XDG_RUNTIME_DIR, YOUR_TYPECAST_API_KEY, YOUR_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Worth knowing first

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Plenty of developer tooling 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. Typecast Api Sample's toolset — Dependencies — is a fair guide to whether it matches your workflow. It is maintained by neosapience; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
DependenciesThis project requires Python 3.10 or higher and uses uv for package management.

How to install the Typecast Api Sample MCP server

#### Local Configuration

```json
{
  "mcpServers": {
    "typecast-api-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/PATH/TO/YOUR/PROJECT",
        "run",
        "typecast-api-mcp-server"
      ],
      "env": {
        "TYPECAST_API_KEY": "YOUR_API_KEY",
        "TYPECAST_OUTPUT_DIR": "PATH/TO/YOUR/OUTPUT/DIR"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
TYPECAST_API_KEYCredential the server authenticates with.Yes
TYPECAST_OUTPUT_DIRFilesystem location the server is allowed to use.Optional
XDG_RUNTIME_DIRFilesystem location the server is allowed to use.Optional
YOUR_TYPECAST_API_KEYCredential the server authenticates with.Yes
YOUR_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Typecast Api Sample to Dependencies.

Frequently asked questions

It connects Typecast Api Sample to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Dependencies) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Typecast Api Sample directly.