Chinese financial report MCP server — Shenwan industry AI rule system, outline extraction, AI structured extraction, Elasticsearch store + search.
FindDataTechnology/fd-cn-report
Skill Claude CodeCodex
Generate LLM indicator rules from a piece/section of a Chinese financial document. Reads a section excerpt, asks the LLM to produce rules (indicator, instruction, position, documenttype), validates them with pydantic, and persists to the rules database + this skill's scripts/ dir.
FindDataTechnology/fd-cn-report
Skill Claude CodeCodex
Generate a full end-to-end extraction script for a documenttype, drawing on the LLM and script rules in the rules database. Validates the output with pydantic and saves the runnable script to the skill's scripts/ dir.
FindDataTechnology/fd-cn-report
Skill Claude CodeCodex
Generate LLM indicator rules for a whole PDF by splitting it into chapters via the parsed outline and producing rules per chapter. Validates with pydantic and persists to the rules database + this skill's scripts/ dir.
FindDataTechnology/fd-cn-report
Skill Claude CodeCodex
Read all LLM rules for a documenttype from the rules database and generate a script rule per target indicator via the LLM. Validates with pydantic and persists to the rules database + this skill's scripts/ dir.
FindDataTechnology/fd-cn-report
Skill Claude CodeCodex
Read a single indicator/document's LLM rules from the rules database and generate script rules (extractrule, position, documenttype) for them via the LLM. Validates with pydantic and persists to the rules database + this skill's scripts/ dir.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: