From 88d90d0a232c6fc4ae4903bf3039a47d1b2ff152 Mon Sep 17 00:00:00 2001 From: Rihards Date: Mon, 9 Feb 2026 13:38:51 +0000 Subject: [PATCH] Update processgit.mcp.yaml --- processgit.mcp.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/processgit.mcp.yaml b/processgit.mcp.yaml index eca51fa..2170bf6 100644 --- a/processgit.mcp.yaml +++ b/processgit.mcp.yaml @@ -6,13 +6,13 @@ version: 1 server: name: "VARAM Document Classification Schema" - description: "Machine-readable classification schema for VARAM DVS Namejs document management system. Functional categories (V2) with programme/project/audience metadata, restructured per MK noteikumi Nr. 282 §33." - instructions: "Query document classification categories, departments, programmes, projects, and audiences. Use 'search' to find categories by name or code, 'list_entities' to browse by type (category, department, programme, project, audience), 'get_entity' for details by ID (e.g. category:3.1, project:PRJ-005, department:IPD), 'generate_document' for formatted classification table." + description: "Machine-readable classification schema for VARAM DVS Namejs document management system. Functional categories (V2) with AI context descriptions (IETVER/NEIETVER), programme/project/audience metadata, restructured per MK noteikumi Nr. 282 §33. P-/I1-/I2- prefix numbering preserved from V1." + instructions: "Query document classification categories with AI-friendly context descriptions. Use 'search' to find categories by name, code, or description keywords — each category contains structured IETVER (includes) and NEIETVER (excludes with cross-reference codes) sections enabling precise AI document classification. Use 'list_entities' to browse by type (category, department, programme, project, audience), 'get_entity' for full details by ID (e.g. category:P-1-13, project:PRJ-005, department:IPD), 'generate_document' for formatted classification table. For AI classification workflow: search by document content keywords, then compare IETVER/NEIETVER in returned descriptions to select best match." sources: - - path: "classification-v2-proposed.xml" + - path: "classification-v2-ai.xml" type: "xml" - description: "V2 functional classification schema — 159 categories, 22 groups, 3 domains with conditional retention rules" + description: "V2 functional classification schema — 159 categories with AI context descriptions (IETVER/NEIETVER cross-references), 22 groups, 3 domains (P=Pārvalde, I1=Investīciju programmu vadība, I2=Investīciju projektu ieviešana), conditional retention rules, programme/project/audience metadata tags" - path: "vocabularies.xml" type: "xml"