@mudravaorg/mcp-server
MCP server for PixelFixer, a visual bug tracking and kanban board tool. Connects AI agents to your PixelFixer projects.
README
@mudravaorg/mcp-server
MCP (Model Context Protocol) server for PixelFixer — a visual bug tracking and kanban board tool. Connects AI agents (Claude, Cursor, VS Code Copilot, Windsurf) to your PixelFixer projects.
What it does
This MCP server gives AI agents full access to your PixelFixer workspace:
| Category | Tools |
|---|---|
| Session | init_session, set_context |
| Teams & Projects | list_teams, list_projects, get_project, list_team_members |
| Tasks | list_tasks, get_task, create_task, update_task, move_task, search_tasks |
| Comments | add_comment, list_comments |
| Kanban | list_columns |
| GitHub | get_github_context, get_repo_tree, get_file_content, create_pull_request, commit_files |
| AI Pipeline | start_task, complete_ai_task, list_ai_queue |
v1.0 highlights
- Session context — call
init_sessiononce; all tools auto-use your team/project IDs - Task numbers —
get_task,start_task, etc. accepttaskNumber: 42instead of raw IDs - Compact responses — list views return summaries (~90% fewer tokens than v0.2)
- Retry & timeout — automatic retry with backoff on 429/5xx, 30s request timeout
- Better errors — human-readable messages that help AI self-correct
Quick Start
1. Get an API Token
Go to PixelFixer → Team Settings → API Tokens and create a token with read + write scopes.
2. Configure your IDE
VS Code (.vscode/mcp.json):
{
"servers": {
"pixelfixer": {
"command": "npx",
"args": ["-y", "@mudravaorg/mcp-server"],
"env": {
"PIXELFIXER_API_TOKEN": "pf_your_token_here",
"PIXELFIXER_API_URL": "https://pixelfixer.mudrava.com"
}
}
}
}
Cursor (.cursor/mcp.json) / Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"pixelfixer": {
"command": "npx",
"args": ["-y", "@mudravaorg/mcp-server"],
"env": {
"PIXELFIXER_API_TOKEN": "pf_your_token_here",
"PIXELFIXER_API_URL": "https://pixelfixer.mudrava.com"
}
}
}
}
Note: VS Code uses
"servers"as the root key, while Cursor and Claude Desktop use"mcpServers".
3. Start using it
Ask your AI agent:
- "Check my PixelFixer tasks and fix what's in the AI queue"
- "Start task #42 and fix it"
- "Search for high-priority open bugs"
- "Create a PR that fixes the button color issue from task #15"
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
PIXELFIXER_API_TOKEN |
Yes | — | Personal API token (starts with pf_) |
PIXELFIXER_API_URL |
No | http://localhost:3000 |
PixelFixer instance URL |
Local Development
If you're running PixelFixer from source, you can use the local build instead of the npm package:
cd packages/mcp-server
pnpm install
pnpm build
Then point your IDE to the local file:
{
"servers": {
"pixelfixer": {
"command": "node",
"args": ["${workspaceFolder}/packages/mcp-server/dist/index.js"],
"env": {
"PIXELFIXER_API_TOKEN": "pf_your_token_here",
"PIXELFIXER_API_URL": "http://localhost:3000"
}
}
}
}
Tool Reference
init_session
The recommended first call in every session. Auto-discovers your team and project (if you have exactly one of each), sets the session context, and returns the AI task queue as compact summaries. After this, all tools auto-fill teamId/projectId.
start_task
Start working on an AI task. Moves the task to In Progress, sets AI status to PROCESSING, and returns full context: task details, comments, GitHub info, columns, and a workflow guide. Accepts taskId or taskNumber.
search_tasks
Search with multiple filters:
q— text search (title, description, task number)status— OPEN, IN_PROGRESS, RESOLVED, CLOSEDpriority— LOW, MEDIUM, HIGH, CRITICALaiStatus— NONE, QUEUED, PROCESSING, COMPLETED, FAILEDassigneeId,columnId,tag
create_pull_request
Creates a branch and PR in the connected GitHub repo. Example:
branchName: "fix/PF-42-button-color"
title: "Fix button color on dashboard"
body: "Resolves PF-42. Changed primary button color..."
Security
- API tokens are hashed (SHA-256) in the database — even a DB leak won't expose tokens
- Tokens have scoped permissions (read / write / admin)
- The MCP server runs locally on your machine — data goes directly to your PixelFixer instance over HTTPS
- No data is sent to third parties
License
MIT
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