Source: https://seerepo.com/compare/apache/airflow/vs/awslabs/mcp
Markdown source: https://seerepo.com/compare/apache/airflow/vs/awslabs/mcp.md
Description: airflow and mcp share 18 technologies: FastAPI, cassandra-driver, ibm-db, psycopg, pymongo, pyarrow, oracledb, pyiceberg, pymssql, uvicorn, sqlglot, jinja2, beautifulsoup4, Pydantic, kubernetes, boto3, psutil, and docker. Both are written in Python.

# airflow vs mcp

airflow and mcp share 18 technologies: FastAPI, cassandra-driver, ibm-db, psycopg, pymongo, pyarrow, oracledb, pyiceberg, pymssql, uvicorn, sqlglot, jinja2, beautifulsoup4, Pydantic, kubernetes, boto3, psutil, and docker. Both are written in Python.

- [apache/airflow](https://seerepo.com/r/apache/airflow): Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- [awslabs/mcp](https://seerepo.com/r/awslabs/mcp): Open source MCP Servers for AWS

## What they share and what sets them apart

- In common: FastAPI, cassandra-driver, ibm-db, psycopg, pymongo, pyarrow, oracledb, pyiceberg, pymssql, uvicorn, sqlglot, jinja2, beautifulsoup4, Pydantic, kubernetes, boto3, psutil, docker
- Only in airflow: Flask, aiosqlite, apache-airflow-providers-common-compat, apache-airflow-providers-common-sql, apache-airflow-providers-postgres, azure-cosmos, azure-datalake-store, azure-kusto-data, azure-mgmt-cosmosdb, azure-mgmt-datalake-store, azure-mgmt-storage, azure-search-documents, azure-servicebus, azure-storage-blob, azure-storage-file-datalake, azure-storage-file-share, azure-synapse-artifacts, azure-synapse-spark, confluent-kafka, gremlinpython, ibm-db-sa, impyla, influxdb3-python, pgvector, presto-python-client, psycopg2-binary, pyodps, pyspark-client, python-arango, pyvespa, Redis, snowflake-sqlalchemy, sqlalchemy-drill, teradatasqlalchemy, weaviate-client, Celery, DuckDB, fastavro, hdfs, kylinpy, pinecone, Trino, ydb, adbc-driver-manager, adlfs, clickhouse-connect, gcloud-aio-bigquery, gcloud-aio-storage, gcsfs, hmsclient, ibmcloudant, jaydebeapi, Neo4j, pinotdb, pydruid, pyexasol, pyhive, pymysql, pyodbc, SQLite, teradatasql, vertica-python, yandex-query-client, ydb-dbapi, Google, flask-appbuilder, asgiref, cadwyn, AIOHTTP, werkzeug, a2wsgi, Apache, Vite, React, react-router-dom, Rich, rich-click, flask-sqlalchemy, SQLAlchemy, alembic, azure-identity, azure-keyvault-secrets, flask-session, google-auth, microsoft-kiota-authentication-azure, msal-extensions, pyspnego, python-keycloak, spnego, pyjwt, cryptography, flask-login, gcloud-aio-auth, hvac, keyring, google-auth-httplib2, google-auth-oauthlib, azure-ai-projects, cohere, datasets, nbconvert, aiosmtplib, icalendar, sendgrid, flask-wtf, wtforms, jsonschema, msgspec, marshmallow, airflow-sdk-jul, airflow-sdk-log4j2, airflow-sdk-slf4j, apache-airflow-providers-cncf-kubernetes, apache-airflow-providers-ssh, apache-airflow-providers-standard, azure-batch, azure-mgmt-compute, azure-mgmt-containerinstance, azure-mgmt-containerregistry, azure-mgmt-datafactory, azure-mgmt-resource, Flower, OpenTelemetry, python-jenkins, structlog, kubernetes-asyncio, Datadog, Alibaba Cloud, colorlog, org.apache.airflow:airflow-sdk, org.apache.logging.log4j:log4j-core, org.slf4j:slf4j-api, next-themes, Chakra UI, React Hook Form
- Only in mcp: valkey-glide, Postgres, MongoDB, asyncmy, daft, pika, InfluxDB, fastmcp, starlette, authlib, bcrypt, langdetect, OpenAI, MCP, bedrock-agentcore, python-frontmatter, readabilipy, defusedxml, lxml, markdownify, markitdown, pdf2image, pdfplumber, ruamel-yaml, openapi-spec-validator, prance, coloredlogs, python-json-logger, loguru, botocore

## Side by side

| | airflow | mcp |
|---|---|---|
| Size | 2,205,633 lines written, 4,702 code files | 970,557 lines written, 1,184 code files |
| Who writes it | 0.8% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Amp, and Devin | 2.4% of its commits signed by AI. With Claude Code, GitHub Copilot, and Codex |
| Activity | Last push November 13, 2026, 42,034 commits, 47,466 stars | Last push November 13, 2026, 2,089 commits, 9,918 stars |
| Tests | 5,017 test files. 52.9% of its code files have a test that imports them | 1,401 test files. 77.6% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, airflow or mcp?

airflow, with 2,205,633 lines written; mcp has 970,557.

The proof: [apache/airflow's code at commit ea7677e](https://github.com/apache/airflow/tree/ea7677ed17271db01fa5ce83d708b2c58c88984b)

### Which has more GitHub stars, airflow or mcp?

airflow, with 47,466 stars; mcp has 9,918.

The proof: [apache/airflow on GitHub](https://github.com/apache/airflow)

### Which has more tests, airflow or mcp?

airflow, with 5,017 test files; mcp has 1,401.

The proof: [apache/airflow's code at commit ea7677e](https://github.com/apache/airflow/tree/ea7677ed17271db01fa5ce83d708b2c58c88984b)

### Which was updated more recently, airflow or mcp?

Both got their last push on November 13, 2026.

The proof: [awslabs/mcp's commits on GitHub](https://github.com/awslabs/mcp/commits)

### Which has more commits signed by AI, airflow or mcp?

mcp: an AI signed 2.4% of its commits, with Claude Code, GitHub Copilot, and Codex; in airflow, 0.8%.

The proof: [the commits each tool signed in awslabs/mcp](https://seerepo.com/r/awslabs/mcp/ai)

## Sources

- apache/airflow: Read on November 13, 2026, at commit ea7677e (https://github.com/apache/airflow/tree/ea7677ed17271db01fa5ce83d708b2c58c88984b)
- awslabs/mcp: Read on November 14, 2026, at commit 5d58a6a (https://github.com/awslabs/mcp/tree/5d58a6adaf89a056d0c14e732593dceb12e633df)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.
