ipdata-co-automation
by ComposioHQipdata-co-automation helps Claude automate Ipdata.co workflows through Composio Rube MCP by discovering current tools, checking the ipdata_co connection, and using live schemas before execution.
This skill scores 64/100, which means it is acceptable but limited for directory users. It provides enough trigger and setup guidance for agents using Rube MCP to discover and run Ipdata.co tools, but it is thin on Ipdata-specific workflows, examples, and install-decision detail.
- Valid skill frontmatter declares the `rube` MCP requirement and a clear automation scope for Ipdata.co via Composio.
- Prerequisites and setup steps explain that Rube MCP must be connected, `ipdata_co` must be authorized, and connection status should be ACTIVE before execution.
- The skill repeatedly instructs agents to call `RUBE_SEARCH_TOOLS` first, which helps handle current schemas instead of relying on stale hard-coded parameters.
- No support files, examples, or install command are included beyond the single SKILL.md, so adoption depends on already knowing how to use Rube MCP in the client.
- The workflow is mostly generic Rube tool-discovery guidance and does not document concrete Ipdata.co tasks, expected inputs, outputs, or common geolocation/IP intelligence use cases.
Overview of ipdata-co-automation skill
What ipdata-co-automation does
ipdata-co-automation is a Claude skill for running Ipdata.co-related workflow automation through Composio’s Rube MCP. Its main value is not a fixed set of hard-coded actions; it teaches the agent to discover the current ipdata_co tools first, confirm the user’s connection status, then execute the right tool schema for the requested IP intelligence task.
Best-fit users and workflows
This skill fits users who want an AI agent to help with Ipdata.co operations inside a broader automation flow: checking IP intelligence, enriching IP addresses, validating location or network data, or connecting IP lookup steps to other operational processes. It is most useful when you already use Claude with MCP tools and want less guesswork than asking for “Ipdata automation” in a generic prompt.
Key differentiator: schema-first execution
The important design choice in the ipdata-co-automation skill is the requirement to call RUBE_SEARCH_TOOLS before acting. That matters because Composio tool names and input schemas can change. Instead of assuming stale parameters, the agent should search for the current Ipdata.co tool definitions, inspect required fields, and only then call the selected tool.
What to know before installing
This is a thin orchestration skill, not a standalone Ipdata SDK, dashboard, or local script. It requires Rube MCP, an active ipdata_co connection, and a client that can call MCP tools. If you need offline processing, direct API client code, or a detailed data model reference, you will need to pair this skill with Ipdata.co’s official API documentation.
How to Use ipdata-co-automation skill
ipdata-co-automation install and setup context
If your client supports installing skills from GitHub, install from the Composio skill collection, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill ipdata-co-automation
Then add Rube MCP as a server in your MCP-capable client using:
https://rube.app/mcp
Before using the skill, confirm that RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS for toolkit ipdata_co and complete the returned authorization flow if the connection is not ACTIVE.
Inputs the skill needs from you
For reliable ipdata-co-automation usage, provide the agent with the actual job, the IP addresses or source of IPs, the fields you care about, and the desired output format. A weak request is: “Check this IP.” A stronger request is: “Use Ipdata.co via Rube MCP to enrich these IPs, return country, region, city, ASN, carrier or company if available, threat/proxy indicators, and flag any missing fields in a table.”
The skill works best when you specify whether the result is for security triage, fraud review, localization, analytics enrichment, or customer support, because that changes which fields matter.
Practical workflow to invoke the skill well
A good ipdata-co-automation guide prompt should ask the agent to follow this sequence:
- Search tools with
RUBE_SEARCH_TOOLSfor the specific Ipdata.co task. - Inspect returned tool slugs, schemas, required fields, and pitfalls.
- Check
ipdata_coconnection status with Rube connection management. - Ask for missing inputs before execution.
- Run the selected tool only after schema confirmation.
- Summarize results with assumptions, missing data, and next actions.
This sequence prevents the common failure mode of inventing a tool call or using outdated parameters.
Repository files to read first
The repository path is composio-skills/ipdata-co-automation, and the main file to inspect is SKILL.md. There are no visible support folders such as references/, scripts/, or rules/ in the provided tree, so treat SKILL.md as the operational source of truth. Pay special attention to the prerequisite, setup, tool discovery, and core workflow sections.
ipdata-co-automation skill FAQ
Is ipdata-co-automation for Workflow Automation or API coding?
ipdata-co-automation for Workflow Automation is primarily an agent workflow skill. It helps Claude discover and call Composio/Rube tools for Ipdata.co tasks. It is not intended to generate a complete application integration, replace the Ipdata.co API docs, or manage a production codebase by itself.
How is this better than an ordinary prompt?
An ordinary prompt may guess tool names, skip connection checks, or assume an old schema. The ipdata-co-automation skill gives the agent a disciplined pattern: discover current tools first, verify the ipdata_co connection, then execute. That reduces avoidable failures in MCP environments where schemas are external and dynamic.
Is this suitable for beginners?
Yes, if the beginner already has an MCP-capable client and can follow an authorization link. The skill’s setup is conceptually simple, but users unfamiliar with MCP, Composio, or external tool permissions may need help verifying that Rube is connected and that RUBE_SEARCH_TOOLS is callable.
When should you not use this skill?
Do not use it when you need a local-only workflow, direct bulk API engineering, guaranteed schema stability without discovery, or an audited production data pipeline. Also avoid it if you cannot authorize an active Ipdata.co connection through Rube MCP, because the skill depends on that connection.
How to Improve ipdata-co-automation skill
Improve prompts for ipdata-co-automation
Better prompts produce better tool discovery and cleaner outputs. Include the exact use case, input source, expected fields, output format, and decision rule. For example: “Enrich these login IPs for fraud review; return country mismatch, ASN, proxy/VPN/threat indicators, and a risk note per IP. Use current Rube Ipdata.co tool schemas and ask before calling tools if required fields are missing.”
Reduce common failure modes
The most important failure mode is skipping RUBE_SEARCH_TOOLS. Another is proceeding when the ipdata_co connection is not active. A third is asking for vague “IP details” without defining which fields are needed. To improve results, require the agent to report the discovered tool slug and required schema before execution.
Add decision rules for your team
If you reuse this skill in a team workflow, add local instructions for what counts as suspicious, which fields must be present, and how to handle missing or uncertain data. For example, security teams may care about proxy, Tor, threat, ASN, and hosting-provider signals, while growth teams may care more about country, region, city, and timezone.
Iterate after the first output
After the first run, refine the prompt based on what the tool returns. Ask the agent to normalize field names, separate raw Ipdata.co values from its interpretation, and produce a retry list for failed or incomplete lookups. This keeps ipdata-co-automation useful for repeatable workflows rather than one-off lookups.