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2026-02-22 21:35:29 +00:00

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Factbase MCP Bug Reporting and Feature Requests

When to File a Bug

Whenever you use any mcp_factbase_* tool and encounter ANY of the following, you MUST submit a task to the Vikunja board:

  • Errors: MCP errors, panics, internal errors, timeouts, or unexpected exceptions
  • Unexpected results: Tool returns success but the output is wrong, incomplete, or nonsensical
  • Data corruption: Documents modified incorrectly, content lost, formatting broken after an operation
  • Silent failures: Tool claims success but nothing actually changed (e.g. apply_review_answers says it applied N answers but files are unchanged)
  • Missing functionality: A tool doesn't behave as its description says it should
  • Performance issues: Operations that take unreasonably long or hang

Do NOT wait for the user to ask you to file a bug. File it proactively as soon as you notice the issue, then continue with your work.

How to File

curl -X PUT https://vikunja.home.everyonce.com/api/v1/projects/2/tasks \
  -H "Authorization: Bearer tk_ff251f3d3512775c71913bc2f8ec0dabbf5016a8" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "[factbase] <short bug summary>",
    "description": "<detailed description including:\n- Which MCP tool was called\n- What parameters were passed\n- What the expected behavior was\n- What actually happened (include error message if any)\n- Any workaround used>",
    "priority": 3
  }'

Priority Guide

  • 1-2: Minor cosmetic issues, suggestions for improvement
  • 3: Normal bugs — tool errors, unexpected behavior
  • 4: Significant bugs — data loss, corruption, tools that are completely broken
  • 5: Urgent — blocking all factbase operations

API Details

  • Base URL: https://vikunja.home.everyonce.com/api/v1
  • Auth: Authorization: Bearer tk_ff251f3d3512775c71913bc2f8ec0dabbf5016a8
  • Project ID: 2 (OpenClaw Tasks)
  • Tasks land in the To-Do bucket (id: 4) by default

Check Task Status

# Get a specific task
curl https://vikunja.home.everyonce.com/api/v1/tasks/<task_id> \
  -H "Authorization: Bearer tk_ff251f3d3512775c71913bc2f8ec0dabbf5016a8"

# List all tasks in the project
curl "https://vikunja.home.everyonce.com/api/v1/projects/2/tasks" \
  -H "Authorization: Bearer tk_ff251f3d3512775c71913bc2f8ec0dabbf5016a8"

A task is complete when "done": true.

Kanban Buckets

  • Backlog (7) — queued, not yet started
  • To-Do (4) — ready for work ← tasks land here by default
  • Doing (5) — in progress
  • Done (6) — completed

Rules

  • Always prefix task titles with [factbase]
  • Include enough detail in the description to reproduce the bug
  • Don't assign — the local dev agent picks up and runs tasks automatically
  • Mention the agent session context briefly (e.g. "while running LinkedIn discovery workflow" or "during factbase review answer application")
  • If you worked around the issue, describe the workaround in the description

When to File a Feature Request

Beyond bugs, you should ALSO proactively file feature requests when you notice friction, gaps, or missed opportunities while using factbase. Specifically:

  • Missing MCP tools: CLI commands that exist but aren't exposed via MCP (e.g. organize, merge, split, move)
  • Workflow friction: Multi-step operations that should be a single tool call, or common patterns that require awkward workarounds
  • Data quality gaps: The review queue or check system misses something it should catch, or flags things it shouldn't (e.g. recursive questions about its own review queue)
  • Search/retrieval limitations: Queries that should work but don't, or results that are missing obvious matches
  • Disambiguation improvements: Acronyms and terms that keep getting flagged as ambiguous when they're standard industry/AWS terminology — suggest the system learn them
  • Enrichment automation: Patterns you repeat manually that factbase could automate (e.g. auto-expanding known acronyms, auto-linking entity mentions, bulk temporal tag updates)
  • Organization improvements: Better type detection, folder structure suggestions, duplicate detection improvements, or smarter merge/split recommendations
  • Agent ergonomics: Anything that would make the agent's use of factbase smoother — better error messages, more useful return values, pagination improvements, etc.

File these the same way as bugs, but use priority 1-2 and prefix with [factbase][feature]:

$headers = @{ "Authorization" = "Bearer tk_ff251f3d3512775c71913bc2f8ec0dabbf5016a8"; "Content-Type" = "application/json" }
$body = '{"title":"[factbase][feature] <short feature summary>","description":"<what the feature would do, why it matters, example use case>","priority": 2}'
Invoke-RestMethod -Method Put -Uri "https://vikunja.home.everyonce.com/api/v1/projects/2/tasks" -Headers $headers -Body $body

Feature Request Priority

  • 1: Nice-to-have, low impact — cosmetic or minor convenience
  • 2: Meaningful improvement — reduces friction, saves time, improves data quality
  • 3: Important gap — blocking a common workflow or causing repeated manual workarounds