crimson-crab-mcp-template
by singhpratech
README.md
# Claude-powered MCP server in Rust (starter template)
[](https://glama.ai/mcp/servers/singhpratech/crimson-crab-mcp-template)
[](https://crates.io/crates/crimson-crab)
[](#license)
A minimal, production-ready [Model Context Protocol](https://modelcontextprotocol.io)
(MCP) server, written in Rust, backed by Anthropic's Claude API through the
[`crimson-crab`](https://crates.io/crates/crimson-crab) SDK. It exposes five
tools: `ask_claude` (send a prompt, get Claude's reply), `chat` (multi-turn
conversation), `count_tokens` (price a prompt without running it), `list_models`
(enumerate the models your API key can use), and `get_model` (limits and
metadata for one model).
Use it as the reference starting point for building your own Claude-powered MCP
tools in Rust.
## Use this template
Click **Use this template** on GitHub, or generate a fresh project with
[`cargo generate`](https://github.com/cargo-generate/cargo-generate):
```sh
cargo generate --git https://github.com/singhpratech/crimson-crab-mcp-template
```
You can also just clone it:
```sh
git clone https://github.com/singhpratech/crimson-crab-mcp-template
```
## Quickstart
```sh
export ANTHROPIC_API_KEY=sk-ant-...
cargo run
```
The server communicates over stdio, so running it directly just waits for an MCP
client to connect. All logging goes to **stderr** — stdout is reserved for the MCP
protocol. Set `RUST_LOG=debug` for more verbose logs.
To build an optimized binary you can point a client at:
```sh
cargo build --release
# -> target/release/crimson-crab-mcp-template
```
## Wire it into Claude Desktop
Add an entry to your Claude Desktop MCP config
(`claude_desktop_config.json`), pointing at the built binary and passing your API
key through the environment:
```json
{
"mcpServers": {
"claude-via-crimson-crab": {
"command": "/absolute/path/to/target/release/crimson-crab-mcp-template",
"env": {
"ANTHROPIC_API_KEY": "sk-ant-..."
}
}
}
}
```
Restart Claude Desktop; the `ask_claude`, `chat`, `count_tokens`,
`list_models`, and `get_model` tools will then be available.
## The tools
### `ask_claude`
| Parameter | Type | Required | Description |
| --------- | ----------------- | -------- | ---------------------------------- |
| `prompt` | `string` | yes | The prompt to send to Claude. |
| `system` | `string` | no | Optional system prompt. |
Builds a Claude Messages request (defaulting to the `claude-opus-5` model),
calls the API, and returns the concatenated text of Claude's reply.
### `chat`
| Parameter | Type | Required | Description |
| ------------ | ---------- | -------- | -------------------------------------------------------- |
| `messages` | `array` | yes | The conversation so far, oldest first: `{role, content}` where `role` is an enum constrained to `"user"` or `"assistant"`. Must end with a user turn. |
| `system` | `string` | no | Optional system prompt. |
| `model` | `string` | no | Model id (defaults to the `ask_claude` model). |
| `max_tokens` | `integer` | no | Maximum tokens to generate (default 1024). |
Sends the whole message history to Claude and returns the next reply — use it
instead of `ask_claude` when the caller needs to keep context across turns.
### `count_tokens`
| Parameter | Type | Required | Description |
| --------- | ----------------- | -------- | -------------------------------------------------- |
| `prompt` | `string` | yes | The prompt whose token count you want. |
| `system` | `string` | no | Optional system prompt to include in the count. |
| `model` | `string` | no | Model id to count against (counts are model-specific). |
Returns the number of input tokens the prompt would consume, without running
it — useful for estimating cost before an expensive call.
### `list_models`
| Parameter | Type | Required | Description |
| --------- | ----------------- | -------- | ---------------------------------------------- |
| `limit` | `integer` | no | Maximum number of models to return. |
Returns the id, display name, and release date of each Claude model available
to the configured API key.
### `get_model`
| Parameter | Type | Required | Description |
| --------- | ----------------- | -------- | ---------------------------------------------- |
| `model` | `string` | yes | The model id to look up, e.g. `claude-opus-5`. |
Returns the model's display name, release date, context window
(`max_input_tokens`), and maximum output tokens.
Errors from all tools are returned as MCP tool errors rather than panicking.
The Claude client is built once at startup and reused across calls.
## Built with crimson-crab
This template is built with [`crimson-crab`](https://crates.io/crates/crimson-crab)
— a production-grade Rust SDK for Anthropic's Claude API. Source:
<https://github.com/singhpratech/crimson-crab>.
## License
Licensed under either of
- MIT license ([LICENSE-MIT](LICENSE-MIT))
- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE))
at your option.
---
crimson-crab is an independent open-source project and is not affiliated with Anthropic.
TDQS
A3.7/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a distinct purpose: ask_claude handles queries, count_tokens deals with token counting, and list_models retrieves available models. There is no functional overlap.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (ask_claude, count_tokens, list_models), making them predictable and easy to use.
Tool Count5/5
With 3 tools, the server is lean and focused on core Claude API interactions. This is appropriate for a minimal template without unnecessary bloat.
Completeness4/5
The tools cover essential operations: asking questions, counting tokens, and listing models. Minor gaps exist, such as missing streaming or model details beyond listing, but the set is sufficient for basic use.
Maintenance
ActivitySlowing
ResponsivenessNo issues