Which integrations are available for this server?

Facilitates listing, reading, commenting on, and updating pull requests on GitHub. Provides tools to create branded Google Docs and convert markdown to branded HTML for Google Docs. Enables deployment of branches to dev, deployment of versions to prod, integration of pull requests, and EMR cluster management via Jenkins. Supports searching, getting, creating, transitioning issues, and adding comments to Jira issues. Allows running, creating, updating, and cloning queries, as well as creating visualizations on Redash. Enables posting messages, reading messages and threads, and searching Slack. Allows executing SQL queries on dev, preprod, and production Trino clusters.

How do I use GDP MCP Tools?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@GDP MCP Tools check vpn status" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

GDP MCP Tools

by asuar16

Overview Schema Related Servers Score Discussions

Python

Local

GDP MCP Tools

MCP (Model Context Protocol) server for Grubhub Data Platform operations. 40+ tools across 18 service categories. Works with Claude Code, VS Code, Cursor, JetBrains, or any MCP-compatible client.

Quick Start (5 minutes)

1. Clone and set up virtual environment

# Ask your team lead for the repo URL, or use:
git clone https://github.com/asuar16/gdp-mcp-tools.git
cd gdp-mcp-tools

# macOS / Linux
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# Windows (PowerShell)
python -m venv venv
.\venv\Scripts\Activate.ps1
pip install -r requirements.txt

2. Configure credentials

cp .env.example src/.env

Edit src/.env with your credentials. See Credentials below.

3. Configure your MCP client

Add to .mcp.json in any repo where you want these tools:

macOS / Linux:

{
  "mcpServers": {
    "gdp-tools": {
      "type": "stdio",
      "command": "/absolute/path/to/gdp-mcp-tools/venv/bin/python",
      "args": ["/absolute/path/to/gdp-mcp-tools/src/server.py"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "gdp-tools": {
      "type": "stdio",
      "command": "C:\\path\\to\\gdp-mcp-tools\\venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\gdp-mcp-tools\\src\\server.py"]
    }
  }
}

4. Connect VPN and start using

All tools require VPN. Connect first, then use any MCP client.

Related MCP server: infra-ops-mcp

Using from Any Repo

Already have gdp-mcp-tools set up? Here's how to add it to a new repo in 1 minute:

Step 1: Get your paths

cd ~/path/to/gdp-mcp-tools
echo "Python: $(pwd)/venv/bin/python"
echo "Server: $(pwd)/src/server.py"

Step 2: Create `.mcp.json` in your new repo

cd ~/path/to/your-new-repo

cat > .mcp.json << 'EOF'
{
  "mcpServers": {
    "gdp-tools": {
      "type": "stdio",
      "command": "/absolute/path/to/gdp-mcp-tools/venv/bin/python",
      "args": ["/absolute/path/to/gdp-mcp-tools/src/server.py"]
    }
  }
}
EOF

Replace the paths with your actual paths from Step 1.

Step 3: Start your AI coding session

Claude Code:

cd ~/path/to/your-new-repo
claude
# GDP tools will auto-connect. Try: "check vpn status"

VS Code / Cursor:

Open the repo folder -> MCP tools appear in Copilot/AI sidebar

Gemini CLI:

cd ~/path/to/your-new-repo
gemini
# Tools auto-load from .gemini/settings.json

Antigravity:

Open project -> Tools auto-load from mcp_config.json

That's it. The .mcp.json tells any MCP client where to find the server. No installation needed in the new repo -- everything runs from gdp-mcp-tools/.

Example: Adding to events-mart, ods_data, or any repo

{
  "mcpServers": {
    "gdp-tools": {
      "type": "stdio",
      "command": "/Users/yourname/gdp-mcp-tools/venv/bin/python",
      "args": ["/Users/yourname/gdp-mcp-tools/src/server.py"]
    }
  }
}

Works from any repo -- events-mart, ods_data, or even non-GDP projects.

Client Setup

Claude Code (CLI / Desktop / Web)

Add .mcp.json to your project root:

{
  "mcpServers": {
    "gdp-tools": {
      "type": "stdio",
      "command": "/absolute/path/to/gdp-mcp-tools/venv/bin/python",
      "args": ["/absolute/path/to/gdp-mcp-tools/src/server.py"]
    }
  }
}

VS Code / Cursor

Add to .vscode/settings.json:

{
  "mcp.servers": {
    "gdp-tools": {
      "type": "stdio",
      "command": "/absolute/path/to/gdp-mcp-tools/venv/bin/python",
      "args": ["/absolute/path/to/gdp-mcp-tools/src/server.py"]
    }
  }
}

Google Antigravity

Add to ~/.gemini/antigravity/mcp_config.json (or project-level .gemini/settings.json):

macOS / Linux:

{
  "mcpServers": {
    "gdp-tools": {
      "command": "/absolute/path/to/gdp-mcp-tools/venv/bin/python",
      "args": ["/absolute/path/to/gdp-mcp-tools/src/server.py"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "gdp-tools": {
      "command": "C:\\path\\to\\gdp-mcp-tools\\venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\gdp-mcp-tools\\src\\server.py"]
    }
  }
}

To reload after config change: use Manage MCP Servers > View raw config in Antigravity UI, or restart.

Gemini CLI

Add to ~/.gemini/settings.json (global) or .gemini/settings.json (project-level):

macOS / Linux:

{
  "mcpServers": {
    "gdp-tools": {
      "command": "/absolute/path/to/gdp-mcp-tools/venv/bin/python",
      "args": ["/absolute/path/to/gdp-mcp-tools/src/server.py"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "gdp-tools": {
      "command": "C:\\path\\to\\gdp-mcp-tools\\venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\gdp-mcp-tools\\src\\server.py"]
    }
  }
}

To reload: run /mcp reload in Gemini CLI, or restart.

JetBrains (IntelliJ / PyCharm)

Settings > Tools > MCP Servers > Add:

Name: gdp-tools
Command: /absolute/path/to/gdp-mcp-tools/venv/bin/python
Args: /absolute/path/to/gdp-mcp-tools/src/server.py

Any MCP Client (stdio transport)

/path/to/gdp-mcp-tools/venv/bin/python /path/to/gdp-mcp-tools/src/server.py

Reads JSON-RPC from stdin, writes responses to stdout, logs to stderr.

Credentials

Copy .env.example to src/.env and fill in:

Credential	Required	How to Get
`USERNAME`	Yes	Your LDAP username (auto-detected from $USER if not set)
`JENKINS_TOKEN`	Yes	Jenkins > Profile > Configure > API Token
`OKTA_PASSWORD`	Yes	Your Okta login password
`PRESTO_PASSWORD`	Yes	Trino cluster password (ask team lead)
`JIRA_PERSONAL_TOKEN`	Yes	Jira > Profile > Personal Access Tokens
`JIRA_USERNAME`	Yes	Your @grubhub.com email
`GITHUB_TOKEN`	Optional	GitHub > Settings > Developer Settings > PAT (repo + read:org, SSO for GrubhubProd)
`REDASH_API_KEY`	Optional	dev-redash.gdp.data.grubhub.com > Profile > API Key
`SLACK_MCP_XOXC_TOKEN`	Optional	Slack browser DevTools > Network > Copy from request
`DD_API_KEY`	Optional	DataDog > Org Settings > API Keys
`PAGERDUTY_USER_API_KEY`	Optional	PagerDuty > User Settings > API Token
`DATAHUB_TOKEN`	Optional	DataHub UI > Settings > Access Tokens

Tool Catalog

Data Platform (13 tools)

Tool	Description
`sync_table`	Sync prod table to dev
`jenkins_deploy_branch`	Deploy Git branch to dev
`jenkins_deploy`	Deploy version to prod
`jenkins_integrate`	Integrate PR
`jenkins_start_cluster` / `stop_cluster`	EMR cluster management
`jenkins_validate_schedule`	Validate schedule.json
`azkaban_run_flow`	Execute Azkaban flow
`azkaban_monitor`	Monitor execution until complete
`azkaban_status`	Check execution status
`azkaban_cancel`	Cancel running execution
`azkaban_flows`	List flows in project
`azkaban_list_executions`	List recent executions
`trino_query`	Execute SQL on dev/preprod/prod

Observability (7 tools)

Tool	Description
`list_emr_clusters` / `describe_emr_cluster`	EMR cluster info
`spark_app_details` / `spark_stage_details`	Spark History Server
`get_flow_logs`	Azkaban execution logs via SSH
`vpn_connect` / `vpn_status` / `vpn_disconnect`	F5 VPN management
`s3_list_partitions` / `s3_list_batch_ids`	S3 data inspection

Analytics (7 tools)

Tool	Description
`pv_failure_summary`	PV framework failure analysis
`pv_analyze_metric`	Deep-dive metric investigation
`pv_investigate_root_cause`	Root cause tracing
`pv_generate_report`	HTML report generation
`backfill_plan` / `backfill_fire` / `backfill_list_jobs`	Backfill management
`calculate_sync_plan` / `check_sync_status`	Smart sync planning

Collaboration (10 tools)

Tool	Description
`jira_search` / `jira_get_issue` / `jira_create_issue`	Jira issues
`jira_transition_issue` / `jira_add_comment`	Jira workflow
`slack_post` / `slack_read_message` / `slack_read_thread` / `slack_search`	Slack
`github_list_prs` / `github_read_pr` / `github_comment_pr` / `github_update_pr`	GitHub PRs
`get_pr_discussions`	PR discussion threads

Data Catalog (7 tools)

Tool	Description
`datahub_search` / `datahub_get_dataset`	DataHub metadata
`datahub_get_lineage` / `datahub_get_column_lineage`	DataHub lineage
`datahub_whoami`	DataHub auth check
`redash_run_query` / `redash_create_query` / `redash_update_query`	Redash queries
`redash_create_visualization` / `redash_clone_query`	Redash viz
`create_branded_google_doc` / `convert_md_to_branded_html`	Google Docs

File Structure

gdp-mcp-tools/
  README.md                 # This file
  TOOLS.md                  # Detailed tool reference
  requirements.txt          # Python dependencies
  .env.example              # Credential template (copy to src/.env)
  .mcp.json.example         # MCP client config template
  .gitignore

  src/
    server.py               # FastMCP entry point (stdio transport)
    auth.py                 # Shared auth (Jenkins, Azkaban, Trino, Jira)
    .env                    # Your credentials (gitignored, never committed)
    tools/
      jenkins_tools.py      # Deploy, sync, integrate, cluster ops
      scheduler_tools.py    # Azkaban flows, monitor, cancel
      trino_tools.py        # SQL queries (dev/preprod/prod)
      emr_tools.py          # EMR cluster list/describe
      s3_tools.py           # S3 partition listing
      backfill_tools.py     # Backfill planning + execution
      sync_plan_tools.py    # Smart sync planning
      spark_tools.py        # Spark History Server
      flowlogs_tools.py     # Azkaban log retrieval via SSH
      pv_tools.py           # PV failure analysis
      vpn_tools.py          # VPN connect/disconnect/status
      jira_tools.py         # Jira issue management
      slack_tools.py        # Slack messaging
      github_tools.py       # GitHub PR operations
      pr_tools.py           # PR discussion threads
      google_doc_tools.py   # Branded Google Doc creation
      datahub_tools.py      # DataHub lineage/search
      redash_tools.py       # Redash query/viz management

  scripts/                  # Utility scripts (not MCP tools)
    datadog_wrapper.sh      # DataDog MCP wrapper
    pagerduty_wrapper.sh    # PagerDuty MCP wrapper
    google_workspace_wrapper.sh
    create_redash_queries.py

  config/
    config.json             # Tool configuration

Troubleshooting

Problem	Fix
`ModuleNotFoundError: No module named 'mcp'`	`pip install mcp[cli]` in the venv
`PRESTO_HOST must be set`	Check `src/.env` exists with correct values
`Connection timed out`	Connect VPN first (`vpn_connect` tool or manual)
`Azkaban login failed`	Check OKTA_PASSWORD is current
`Jenkins 401`	Regenerate JENKINS_TOKEN
`Jira 401`	Regenerate JIRA_PERSONAL_TOKEN
`DNS resolution failed`	VPN dropped, reconnect
Tools not showing in client	Restart MCP client. Check `.mcp.json` paths are absolute.
Windows path issues	Use `\\` in JSON paths, or forward slashes `/`

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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GDP MCP Tools

Quick Start (5 minutes)

1. Clone and set up virtual environment

2. Configure credentials

3. Configure your MCP client

4. Connect VPN and start using

Using from Any Repo

Step 1: Get your paths

Step 2: Create .mcp.json in your new repo

Step 3: Start your AI coding session

Example: Adding to events-mart, ods_data, or any repo

Client Setup

Claude Code (CLI / Desktop / Web)

VS Code / Cursor

Google Antigravity

Gemini CLI

JetBrains (IntelliJ / PyCharm)

Any MCP Client (stdio transport)

Credentials

Tool Catalog

Data Platform (13 tools)

Observability (7 tools)

Analytics (7 tools)

Collaboration (10 tools)

Data Catalog (7 tools)

File Structure

Troubleshooting

Maintenance

Resources

Looking for Admin?

Latest Blog Posts

MCP directory API

Step 2: Create `.mcp.json` in your new repo