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Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
FlexOrch is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding FlexOrch to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx flexorch-mcp==0.1.2Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-06-25T11:16:28.434547Z",
"publishedAt": "2026-06-25T11:16:28.434547Z",
"statusChangedAt": "2026-06-25T11:16:28.434547Z"
}
},
"server": {
"name": "io.github.dev-flexorch/flexorch-mcp",
"title": "FlexOrch",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.2",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "flexorch-mcp",
"registryType": "pypi",
"environmentVariables": [
{
"name": "FLEXORCH_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "FlexOrch API key — get one at app.flexorch.com/settings"
}
]
}
],
"repository": {
"url": "https://github.com/flexorch/flexorch-mcp",
"source": "github"
},
"description": "Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents."
}
}