airbyte-oss-mcp
Read-only MCP server for self-hosted Airbyte OSS 1.6.x, enabling monitoring of connections, jobs, and health via public and internal APIs. Optionally supports triggering syncs and canceling jobs.
README
Airbyte OSS MCP
Read-only MCP server for self-hosted Airbyte OSS 1.6.x.
Wraps:
- Public API —
/api/public/v1(connections, jobs, health) - Internal API —
/api/v1/jobs/get_without_logs(attempt failure summaries)
Modeled after dagster-mcp (FastMCP + env-based config).
Install (Cursor + uvx)
Prerequisites: uv installed, network access to your Airbyte instance.
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"airbyte": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/NGRThomson/airbyte-oss-mcp.git@main",
"airbyte-mcp"
],
"env": {
"AIRBYTE_URL": "https://airbyte.example.com",
"AIRBYTE_READ_ONLY": "true"
}
}
}
}
Replace AIRBYTE_URL with your instance URL. Default (if unset) is http://localhost:8000.
Pin a tag or commit for slower upgrades:
git+https://github.com/NGRThomson/airbyte-oss-mcp.git@v0.2.0
See examples/cursor-mcp.json for a team install template.
Optional persistent install:
uv tool install --from 'git+https://github.com/NGRThomson/airbyte-oss-mcp.git@main' airbyte-mcp
Local dev
"args": ["--from", "/path/to/airbyte-oss-mcp", "airbyte-mcp"]
Or:
cd airbyte-oss-mcp
uv sync --extra dev
uv run ruff check airbyte_mcp/
uv run pytest
uv run airbyte-mcp
Environment variables
| Variable | Default | Purpose |
|---|---|---|
AIRBYTE_URL |
http://localhost:8000 |
Base URL of your Airbyte instance |
AIRBYTE_API_TOKEN |
(empty) | Bearer token if public API auth is enabled |
AIRBYTE_READ_ONLY |
true |
When false, exposes cancel_job and trigger_sync |
AIRBYTE_ENVS |
(empty) | JSON map of named envs for multi-instance setups |
AIRBYTE_DEFAULT_ENV |
(empty) | Default key when AIRBYTE_ENVS has multiple entries |
Multi-env example:
"AIRBYTE_ENVS": "{\"prod\":{\"url\":\"https://airbyte.example.com\"},\"staging\":{\"url\":\"https://airbyte-staging.example.com\"}}",
"AIRBYTE_DEFAULT_ENV": "prod"
Optional bearer token:
"AIRBYTE_API_TOKEN": "<token from Airbyte Settings → Applications>"
Tools
| Tool | Purpose |
|---|---|
get_instance_status |
Health, connection counts, running/pending/failed job counts |
get_active_syncs |
All running syncs with connection names |
list_connections |
Browse/filter connections |
get_connection |
One connection + recent jobs |
list_jobs |
Recent jobs (filter by connection/status) |
get_job |
Public job metadata |
get_job_details |
Attempt stats + failure summaries |
get_job_failure_summary |
Best starting point for failed syncs |
find_duplicate_destination_tables |
Audit BigQuery tables with multiple active writers |
Write tools (cancel_job, trigger_sync) register only when AIRBYTE_READ_ONLY=false.
Smoke test
uv run python -c "
from airbyte_mcp.client import AirbyteClient
c = AirbyteClient('https://airbyte.example.com')
print(c.health())
print('running', len(c.list_jobs(status='running', limit=10)))
"
Notes
- Always pass
orderBy=updatedAt|DESCwhen listing jobs (default in client) — otherwise Airbyte returns oldest jobs first. - Raw job logs are not exposed (public API has no log endpoint); failure summaries come from internal
get_without_logs. - Internal OSS API:
get_job_detailsandget_job_failure_summaryuse/api/v1/jobs/get_without_logs, which is not part of the public API and may break on Airbyte upgrades. list_connections/list_jobspaginate automatically whenlimitexceeds the API page size (100).- Runtime data: when pointed at a live instance, tool responses include connection names, job errors, and IDs from your Airbyte workspace — keep MCP read-only in shared Cursor configs if that metadata is sensitive.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。