Migrate all repos into monorepo context folders

Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
      Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
      Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)

Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.

bahn/teamlandkarte-mcp/config.toml.example

@@ -0,0 +1,85 @@
+# Teamlandkarte MCP configuration
+# Copy this file to `config.toml` and adjust values.
+#
+# Credentials are never stored in this file. Provide them via environment
+# variables (e.g. via `.env`):
+# - DATA_LAKE_USERNAME
+# - DATA_LAKE_PASSWORD
+# - AZURE_OPENAI_LLM_API_KEY
+
+[database]
+backend = "trino"
+host = "trino.example.local"
+port = 443
+http_scheme = "https"
+verify_ssl = true
+catalog = "hive"
+schema = "tier1_open_lake"
+connect_timeout = 10
+pool_size = 4
+
+[matching]
+competence_weight = 0.8
+role_weight = 0.2
+require_confirmation = true
+# Default matching method used when callers do not pass `matching_method`.
+# Allowed values:
+#   - "score"        : BM25 + LLM role similarity (numeric scores).
+#   - "llm_fulltext" : LLM-based full-text matching with rationale.
+default_method = "score"
+
+[matching.thresholds]
+top = 0.8
+good = 0.65
+partial = 0.5
+low = 0.3
+
+[matching.fuzzy]
+min_similarity = 0.7
+
+[matching.similarity]
+# When true, an LLM pre-expands each candidate's competence list with
+# canonical equivalents of required competences it already covers
+# (synonyms, abbreviations, cross-language). The expansion is ephemeral
+# and never persisted. Requires AZURE_OPENAI_LLM_API_KEY env var.
+# Default: false.
+use_auto_tagging = false
+
+[matching.team]
+# Gewichtungsfaktor für Top-Kompetenzen im Score-basierten Team-Matching.
+# Wird nur von `find_matching_teams` (Profile_Type = "team") verwendet und
+# beeinflusst die Capacity-Suche nicht.
+# Der Wert muss numerisch und >= 1.0 sein. Default: 1.5.
+top_competency_weight = 1.5
+
+[cache]
+db_ttl_hours = 12
+search_ttl_minutes = 60
+max_size = 100
+
+[azure_openai]
+# Azure OpenAI endpoint configuration.
+#
+# IMPORTANT:
+# - `endpoint` must be your Azure OpenAI resource endpoint.
+# - `chat_deployment` must be set to a valid Azure deployment name.
+#
+# Credentials are read from:
+# - AZURE_OPENAI_LLM_API_KEY
+endpoint = "https://YOUR-RESOURCE.openai.azure.com"
+
+# Azure OpenAI API version (must be supported by your resource).
+api_version = "2024-02-15-preview"
+
+# Chat/LLM deployment name (e.g. "gpt-4.1"). Required.
+# API key must be provided via AZURE_OPENAI_LLM_API_KEY environment variable.
+chat_deployment = ""
+
+# Optional: include a cost summary block in certain tool outputs.
+# This always remains approximate unless you configure prices in CostTracker.
+# Defaults to false.
+show_costs_in_output = false
+
+# Maximale Anzahl paralleler LLM-Anfragen (1-50, Standard: 5).
+# Höhere Werte beschleunigen das Matching, können aber Rate-Limits auslösen.
+max_concurrency = 25