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Complete documentation and Claude Desktop integration
- Enhanced README with comprehensive installation, usage, and development guides - Added performance metrics, security notes, and contributing guidelines - Created Claude Desktop configuration examples with troubleshooting - Added multiple config variants (basic, custom port, development) - Included detailed setup instructions and testing examples 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md

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# Pinboard MCP Server
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[![CI](https://github.com/rossshannon/pinboard-bookmarks-mcp-server/actions/workflows/ci.yml/badge.svg)](https://github.com/rossshannon/pinboard-bookmarks-mcp-server/actions/workflows/ci.yml)
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[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
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Read-only access to Pinboard.in bookmarks for LLMs via Model Context Protocol (MCP).
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## Overview
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- **Read-only access** to Pinboard bookmarks
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- **Four MCP tools**: `searchBookmarks`, `listRecentBookmarks`, `listBookmarksByTags`, `listTags`
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- **Smart caching** with LRU cache and automatic invalidation
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- **Rate limiting** respects Pinboard's 3-second guideline
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- **Field mapping** converts Pinboard's legacy field names to intuitive ones
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- **Smart caching** with LRU cache and automatic invalidation using `posts/update` endpoint
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- **Rate limiting** respects Pinboard's 3-second guideline between API calls
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- **Field mapping** converts Pinboard's legacy field names to intuitive ones (description→title, extended→notes)
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- **Comprehensive testing** with 76% code coverage and integration test harnesses
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## Installation
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### Via pip (recommended)
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```bash
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pip install pinboard-mcp-server
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```
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### From source
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```bash
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git clone https://github.com/rossshannon/pinboard-bookmarks-mcp-server.git
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cd pinboard-bookmarks-mcp-server
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pip install -e .
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```
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## Usage
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## Quick Start
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1. Get your Pinboard API token from https://pinboard.in/settings/password
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2. Set the `PINBOARD_TOKEN` environment variable:
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1. **Get your Pinboard API token** from https://pinboard.in/settings/password
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2. **Set environment variable**:
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```bash
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export PINBOARD_TOKEN="username:token"
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export PINBOARD_TOKEN="username:1234567890ABCDEF"
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```
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3. Start the server:
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3. **Start the server**:
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```bash
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pinboard-mcp-server
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```
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## Development
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## Usage with Claude Desktop
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Add this configuration to your Claude Desktop settings:
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```json
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{
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"mcpServers": {
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"pinboard": {
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"command": "pinboard-mcp-server",
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"env": {
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"PINBOARD_TOKEN": "your-username:your-token-here"
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}
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}
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}
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}
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```
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## Available Tools
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### 1. `searchBookmarks`
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Search bookmarks by query string across titles, notes, and tags.
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**Parameters:**
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- `query` (string): Search query
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- `limit` (int, optional): Maximum results (default: 20, max: 100)
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**Example:**
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```
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Search for "python testing" bookmarks
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```
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### 2. `listRecentBookmarks`
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List bookmarks saved in the last N days.
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**Parameters:**
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- `days` (int, optional): Days to look back (default: 7, max: 30)
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- `limit` (int, optional): Maximum results (default: 20, max: 100)
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**Example:**
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```
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Show me bookmarks from the last 3 days
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```
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### 3. `listBookmarksByTags`
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List bookmarks filtered by tags with optional date range.
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**Parameters:**
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- `tags` (array): List of tags to filter by (1-3 tags)
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- `from_date` (string, optional): Start date in ISO format (YYYY-MM-DD)
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- `to_date` (string, optional): End date in ISO format (YYYY-MM-DD)
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- `limit` (int, optional): Maximum results (default: 20, max: 100)
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**Example:**
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```
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Find bookmarks tagged with "python" and "api" from January 2024
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```
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### 4. `listTags`
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List all tags with their usage counts.
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**Example:**
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```
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What are my most used tags?
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```
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## Configuration
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### Environment Variables
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- `PINBOARD_TOKEN` (required): Your Pinboard API token in format `username:token`
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### Rate Limiting
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Install development dependencies:
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The server automatically enforces a 3-second delay between Pinboard API calls to respect their guidelines. Cached responses are returned immediately.
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### Caching Strategy
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- **Query cache**: LRU cache with 1000 entries for search results
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- **Bookmark cache**: Full bookmark list cached for 1 hour
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- **Cache invalidation**: Uses `posts/update` endpoint to detect changes
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- **Tag cache**: Tag list cached until manually refreshed
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## Testing
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The project includes comprehensive test coverage with multiple test strategies:
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### Run all tests
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```bash
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pip install -e ".[dev]"
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# Activate virtual environment first
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source ~/.venvs/pinboard-bookmarks-mcp-server/bin/activate
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# Run all tests with coverage
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pytest --cov=src --cov-report=term-missing
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```
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Run tests:
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### Real API testing
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```bash
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pytest
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# Set your Pinboard token
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export PINBOARD_TOKEN="username:token"
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# Run real API tests
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python test_mcp_harness.py
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```
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Run type checking:
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### Mock API testing
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```bash
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mypy src/
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# Run mock tests (no API token required)
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python test_mcp_harness_mock.py
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```
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## Development
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### Setup
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```bash
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# Clone and install
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git clone https://github.com/rossshannon/pinboard-bookmarks-mcp-server.git
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cd pinboard-bookmarks-mcp-server
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# Create virtual environment
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python -m venv ~/.venvs/pinboard-bookmarks-mcp-server
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source ~/.venvs/pinboard-bookmarks-mcp-server/bin/activate
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# Install in development mode
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pip install -e ".[dev]"
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```
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Run linting:
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### Code Quality
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```bash
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# Linting and formatting
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ruff check src/ tests/
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ruff format src/ tests/
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# Type checking
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mypy src/
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# Run tests
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pytest -v
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```
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### Architecture
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- **FastMCP 2.0**: MCP scaffolding with Tool abstraction and async FastAPI server
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- **pinboard.py**: Pinboard API client wrapper with error handling
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- **Pydantic**: Data validation and serialization with JSON Schema
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- **ThreadPoolExecutor**: Bridges async MCP with sync pinboard.py library
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- **LRU Cache**: In-memory caching with intelligent invalidation
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### Key Files
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- `src/pinboard_mcp_server/main.py` - MCP server entry point
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- `src/pinboard_mcp_server/client.py` - Pinboard API client with caching
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- `src/pinboard_mcp_server/tools.py` - MCP tool implementations
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- `src/pinboard_mcp_server/models.py` - Pydantic data models
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- `tests/` - Comprehensive test suite
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- `test_mcp_harness.py` - Real API integration testing
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- `test_mcp_harness_mock.py` - Mock API testing
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## Performance
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- **P50 response time**: <250ms (cached responses)
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- **P95 response time**: <600ms (cold cache)
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- **Rate limiting**: 3-second intervals between API calls
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- **Cache hit ratio**: >90% for typical usage patterns
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## Security
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- API tokens are never logged or exposed in error messages
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- Read-only access to Pinboard data
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- Input validation on all tool parameters
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- Secure environment variable handling
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## Contributing
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1. Fork the repository
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2. Create a feature branch (`git checkout -b feature/amazing-feature`)
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3. Make your changes with tests
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4. Ensure all tests pass and code is formatted
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5. Submit a pull request
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## License
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MIT
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MIT License - see [LICENSE](LICENSE) file for details.

claude-desktop-config.json

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{
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"mcpServers": {
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"pinboard": {
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"command": "pinboard-mcp-server",
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"env": {
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"PINBOARD_TOKEN": "your-username:your-token-here"
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}
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}
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}
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}

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