List, view, create, edit, delete, comment on, and see the history of Laraue Boards issues.
Model Context Protocol (MCP) Server: com.laraue/boards
The MCP server com.laraue/boards provides capabilities to list, view, create, edit, and move issues within a Laraue Boards organization. It is focused on issue management workflows across the organization’s boards, supporting both reading and modification of issue records.
🛠️ Key Features
List issues
View issues
Create issues
Edit issues
Move issues
🚀 Use Cases
Retrieve an organization’s issue list
Inspect individual issue details
Add new issues to a Laraue Boards organization
Update existing issue information
Reorganize issues by moving them within the organization
The repository contains backend for Task-management Jira-like system.
Interface example
image
App structure
Laraue.Apps.Boards.DataAccess
The layer that contains models and enums associated with these models
Laraue.Apps.Boards.Services
The layer with services that use other services. Required to encapsulate hard logic mostly in CRD operations.
Example: issue creation may update updated_at property, add record to history changes etc.
So the service provides the method to create issue.
Note: core services should not manage transactions, but may require them calling context.Database.EnsureTransaction
at the top of function.
Each host reads its own appsettings.Development.json (gitignored, not the checked-in
appsettings.json) for local overrides. A minimal one for Laraue.Apps.Boards.WebApiHost that
runs against a local Postgres with no Identity/Billing dependencies (AI summarization still
defaults to a local Ollama instance - see below):
Laraue.Apps.Boards.TelegramHost's only needs the MockExternalServices line (it has its own
Telegram:Token to set instead of Auth:Key). See the subsections below for what each setting
does and how to point at a real AI/Identity/Billing instance instead.
AI content summarization (local dev)
appsettings.json's AiSummarizer section defaults to a local Ollama
instance, since Ollama exposes an OpenAI-compatible /v1/chat/completions endpoint and the
summarizer talks to any OpenAI-compatible API. Install Ollama, then pull the model referenced
in config:
code
ollama pull gemma3:12b
Ollama serves on http://localhost:11434 by default once installed. Small local models sometimes
leave out a field of the JSON reply, so appsettings.Development.json turns on
AiSummarizer:UseJsonSchema: the reply is then constrained to a JSON Schema (response_format: json_schema, which Ollama supports). Leave it off for providers that only know plain JSON mode,
like DeepSeek. On prod, override
AiSummarizer:BaseUrl/AiSummarizer:Model/AiSummarizer:ApiKey to point at a real provider
(e.g. DeepSeek) instead.
Running without Identity/Billing
Boards calls out to two other services over gRPC: Laraue.Apps.Identity (global user identity on
first login) and Laraue.Apps.Billing (AI token spend/subscription limits). Neither has to be
running locally - both hosts' appsettings.Development.json set "MockExternalServices": true,
which swaps in in-process fakes for these calls (always succeeds, generous fixed limits, no
network traffic) instead of the real gRPC clients. Set it back to false if you actually want to
exercise a locally-running Identity/Billing instance.