semvec/pypi-packages huggingface dataset:
fred-mcp 0.2.0b0
A fully-featured FRED MCP server.
Requires Python: >=3.10

# Federal Reserve Economic Data MCP Server

> [!NOTE]
> This open-source project is not affiliated with, sponsored by, or endorsed by the *Federal Reserve* or the *Federal Reserve Bank of St. Louis*. "FRED" is a registered trademark of the *Federal Reserve Bank of St. Louis*, used here for descriptive purposes only.

A fully-featured Model Context Protocol (`MCP`) server for accessing Federal Reserve Economic Data ([FRED®](https://fred.stlouisfed.org/)) financial datasets.

This MCP server uses [fred-py-api](https://github.com/zachspar/fred-py-api) under the hood.

## Installation

```bash
pip install fred-mcp
```

## Integration

Easily use this MCP Server in a desktop client of your choosing.

### Recommended

#### [Claude Desktop](https://claude.ai/download)
```json
{
  "mcpServers": {
    "FRED MCP Server": {
      "command": "/path/to/fred-mcp",
      "env": {
        "FRED_API_KEY": "<your api key>"
      }
    }
  }
}
```

#### [5ire](https://5ire.app/)
```json
{
  "name": "FRED MCP Server",
  "description": "Get FRED data via MCP",
  "command": "/path/to/fred-mcp",
  "env": {
    "FRED_API_KEY": "<your api key>"
  },
  "isActive": true,
  "key": "FredMcpServer",
  "type": "local"
}
```

#### [`mcphost`](https://github.com/mark3labs/mcphost)
```json
{
  "mcpServers": {
    "fred": {
      "command": "/path/to/fred-mcp",
      "env": {
        "FRED_API_KEY": "<your api key>"
      }
    }
  }
}
```


## Run Server

### Command-Line

```bash
export FRED_API_KEY=your_api_key
fred-mcp
```

### Docker

> [!TIP]
> You can also use the `docker` image to run this MCP server with any of the integration clients.
>
> ```json
> {
>   "command": "docker",
>   "args": [
>     "run",
>     "-i",
>     "--rm",
>     "-e", "MCP_SERVER_TRANSPORT=stdio",
>     "-e", "FRED_API_KEY=your_api_key",
>     "ghcr.io/zachspar/fred-mcp/fred-mcp-server:latest"
>   ]
> }
> ```

```bash
docker run -d -p 8000:8000 -e FRED_API_KEY=your_api_key --name fred-mcp-server ghcr.io/zachspar/fred-mcp/fred-mcp-server:latest
```
contextualize 0.1.0
LLM prompt/context preparation utility
Requires Python: >=3.6

# contextualize

`contextualize` helps gather files and other text snippets for use with LLMs.

<img src="https://github.com/jmpaz/contextualize/assets/30947643/01dbcec2-69fc-405a-8d91-0a00626f8946" width=80%>


## Installation

```bash
pip install contextualize
```

or with [uv](https://docs.astral.sh/uv/):

```bash
uv tool install contextualize
```


## Commands

| command   | purpose |
|-----------|---------|
| `cat`     | gather file contents (e.g. for piping to [`llm`](https://github.com/simonw/llm)). often used with `--copy` + `--prompt` |
| `map`     | survey file/folder structure(s) with [aider](https://github.com/paul-gauthier/aider)                                                     |
| `shell`   | capture output from arbitrary shell commands                                                     |
| `fetch`   | retrieve Linear issues (legacy)                                                            |
| `payload` | compose text and file blocks from a YAML manifest                                          |

All commands work with the global flags `--prompt`, `--wrap`, `--copy`, and `--write-file`.

```bash
# example: gather a few files and copy to clipboard with a prefix
contextualize --copy --prompt "what does this do" cat contextualize/ README.md
```

more examples and details are available in [`docs/usage.md`](docs/usage.md).