oo-finchinaFinChina (mcp.finchina.com). Use this skill for ANY FinChina request — searching and reading data. Whenever a task involves FinChina, use this skill instead of calling the API directly.
Install via ClawdBot CLI:
clawdbot install oomol/oo-finchinaGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://cli.oomol.com/install.sh | bashCalls external URL not in known-safe list
https://static.oomol.com/logo/third-party/finchina.svgAudited Oct 9, 2026 · audit v1.0
Generated Oct 9, 2026
Financial analysts can use this skill to pull company basic information, registered capital, and financial indicators directly from FinChina to build credit risk assessments. The discover_tools and execute_tool actions allow querying enterprise risk navigation tools without switching between FinChina's web interface and internal systems.
Private equity and venture capital teams can enrich investment pipelines by querying a target company's last three years of revenue and other financial metrics. This skill surfaces FinChina's indicator definitions and metadata so analysts can map external data into internal deal models consistently.
Corporate strategy teams can batch-query financial metrics for multiple peer companies and compare revenue, registered capital, and other indicators. The execute_tool action handles individual queries while the discover_tools action reveals available screening parameters for more targeted comparisons.
Compliance officers can automate Know-Your-Customer workflows by retrieving company basic information and enterprise-risk signals from FinChina. The skill's read-only actions make it safe to run repeatable checks without modifying any FinChina state.
Developers building AI agents for finance can integrate FinChina through the oo CLI to enable natural-language queries over enterprise financial data. The skill handles credential injection server-side, allowing agents to search and read FinChina data without exposing API keys.
FinChina charges account credits for each query executed through execute_tool, get_company_basic_info, and get_company_financial_metrics. Users recharge credits through the OOMOL billing console, and the skill surfaces HTTP 402 errors when balances are insufficient.
FinChina likely offers underlying data subscriptions, while the OOMOL connector acts as a value-added integration layer that injects credentials and simplifies access. This drives stickiness by embedding FinChina data into existing enterprise workflows.
OOMOL provides the connector infrastructure and billing relationship, earning from FinChina data consumption while enabling third-party developers to build financial AI agents. This model monetizes the platform as a distribution channel for FinChina's data services.
💬 Integration Tip
Always run `oo connector schema` before building a payload to get the authoritative input fields for each action, and treat all actions as read-only since none are tagged [write] or [destructive]. Do not proactively run auth or connection commands; only fall back to first-time setup steps when a command fails with a matching error.
Scored Oct 9, 2026
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