VARAM/VARAM_classification_schema
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Update processgit.mcp.yaml

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Rihards
2026-02-09 13:38:51 +00:00
parent 68cfe0a867
commit 88d90d0a23
1 changed files with 4 additions and 4 deletions
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processgit.mcp.yaml
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@@ -6,13 +6,13 @@ version: 1
server: server:
name: "VARAM Document Classification Schema" 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." 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, 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." 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: sources:
- path: "classification-v2-proposed.xml" - path: "classification-v2-ai.xml"
type: "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" - path: "vocabularies.xml"
type: "xml" type: "xml"