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Dataharpoon

БесплатноНе проверен

An MCP-ready query engine that connects to your data — wherever it lives

mrasuавтор: mrasu
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Описание

An MCP-ready query engine that connects to your data — wherever it lives

README

An MCP-ready query engine that connects to your data — wherever it lives

DataHarpoon lets you query both raw data files and MCP-generated results with:

  • Natural-language via MCP
  • Raw SQL for precise control

Examples

Natural Language via MCP

You can write in plain English, and MCP automatically generates and runs the SQL.

When you ask:

With DataHarpoon, please tell me the number of users (written in user.csv) with the role 'member' in each organization (written in org.json).

MCP will query:

SELECT o.name AS organization_name, COUNT(u.id) AS member_count
FROM 'user.csv' u
JOIN 'org.json' o ON u.organization_id = o.id
WHERE u.role = 'member'
GROUP BY o.id, o.name
ORDER BY o.name;

and shows:

Member Count by Organization
| Organization Name | Number of Members |
|-------------------|-------------------|
| EduCore | 1 |
| GreenFuture | 1 |
| HealthPlus | 2 |
| Tech Innovators | 2 |

https://github.com/user-attachments/assets/46089765-b3d5-4c58-83e2-71a0e21a8db9

Call MCP

You can also use SQL directly.

The following SQL query retrieves issues from GitHub and asks Claude to classify them as either bugs or feature requests based on their titles and bodies.

SELECT
  html_url,
  title,
  exec_mcp(
    'claude',
    'chat-with-claude', 
    {'content': 'Classify the following GitHub issue as "bug", "feature request" or "other". Reply with the classification only.<title> ' || title || '</title><body>' || body || '</body>'}
  ) AS category,
  "user"['login'] AS user
FROM
  call_mcp('github', 'list_issues', {'owner': 'github', 'repo': 'github-mcp-server'})
WHERE pull_request IS NULL
LIMIT 5;

#=>
+--------------------------------------------------------+------------------------------------------------------------------------------------------------------------+-----------------+----------------+
| html_url                                               | title                                                                                                      | category        | user           |
+--------------------------------------------------------+------------------------------------------------------------------------------------------------------------+-----------------+----------------+
| https://github.com/github/github-mcp-server/issues/520 | 64-Character Limit on Tool Names Conflicts with MCP Spec — Should Be Removed or Configurable               | feature request | jlwainwright   |
| https://github.com/github/github-mcp-server/issues/519 | [Visual Studio] cannot connect to remote MCP server `"Invalid content type: must be 'application/json'\n"` | bug             | xperiandri     |
| https://github.com/github/github-mcp-server/issues/517 | Add cursor install info to README.md                                                                       | other           | maxs10-creator |
| https://github.com/github/github-mcp-server/issues/507 | Regression in `get_file_contents` making it return `nil` in latest image `3e32f75`                         | bug             | monotykamary   |
| https://github.com/github/github-mcp-server/issues/504 | git blame tool (to get the latest contributors of the class)                                               | feature request | ismurygin      |
+--------------------------------------------------------+------------------------------------------------------------------------------------------------------------+-----------------+----------------+

Refer example/README.md for more examples.

How to use

After building, you can use DataHarpoon as an MCP server or run it via the CLI.

Build

git clone [email protected]:mrasu/dataharpoon.git
cd dataharpoon
cargo build

# file will be in ./target/debug/dataharpoon

Run via CLI

cd example
./../target/debug/dataharpoon

Run with your own configuration

  1. Create a data_harpoon.toml
  2. Run the DataHarpoon binary with your config.

Run as an MCP Server

Configure settings for your Agent.

{
  "mcpServers": {
    "dataharpoon": {
      "command": "/path/to/dataharpoon",
      "args": [
        "serve",
        "mcp",
        "-c",
        "/path/to/data_harpoon.toml"
      ]
    }
  }
}

from github.com/mrasu/dataharpoon

Установка Dataharpoon

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/mrasu/dataharpoon

FAQ

Dataharpoon MCP бесплатный?

Да, Dataharpoon MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Dataharpoon?

Нет, Dataharpoon работает без API-ключей и переменных окружения.

Dataharpoon — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Dataharpoon в Claude Desktop, Claude Code или Cursor?

Открой Dataharpoon на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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