Xano MCP Python SDK: Localized Backend Integration

This repository furnishes a standalone Python implementation of an MCP (Model Context Protocol) server designed specifically for seamless, direct interfacing with Xano platforms. It is tailored for execution within local environments, making it an optimal component for AI agents such as Claude running on desktop applications or any other MCP-compliant large language model.

🌟 Principal Capabilities

• Token-Based Security: Implements straightforward authentication utilizing your Xano API access credential.
• Full-Spectrum Data Access: Enables complete manipulation and retrieval operations across Xano instances, databases, schemas (tables), and individual data entries (records).
• Local Operation Mode: Functions as a dedicated, locally hosted MCP endpoint, ensuring low-latency interaction with local AI clients.
• Diagnostic Transparency: Provides granular, detailed logging streams essential for effective issue resolution and monitoring.
• Cross-Platform Compatibility: Ensures operational consistency across Unix-like systems (macOS, Linux) and Windows environments.

🚀 Implementation Roadmap

1. Repository Acquisition: bash git clone https://github.com/yourusername/xano-mcp-python.git cd xano-mcp-python

2. Dependency Resolution: bash pip install -r requirements.txt

3. Client Configuration (e.g., Claude Desktop): Modify your respective configuration file:

4. macOS Path: ~/Library/Application Support/Claude/claude_desktop_config.json
5. Windows Path: %APPDATA%\Claude\claude_desktop_config.json

Integrate the following structural block:

{ "mcpServers": { "xano": { "command": "python", "args": [ "/path/to/xano-mcp-python/xano_mcp_sdk.py" ], "env": { "XANO_API_TOKEN": "your-xano-api-token" } } } }

1. Service Activation Script Execution: bash # For Unix-like OSes ./install.sh

# For Windows environments install.bat

1. Verification Routine: bash ./test.py

💡 Interaction Scenarios

Post-setup, the tool is immediately available to Claude or any other adhering assistant. Examples of intended invocations:

• Inventory Check:

  What Xano backends are currently registered to my account?

• Schema Inspection:

  Detail the entire table structure within the Xano workspace named "my-instance".

• New Object Creation:

  Provision a fresh data repository named "inventory_items" within "my-instance".

• Structure Review:

  Present the field definitions for the existing "client_directory" repository.

• Data Retrieval:

  Fetch the inaugural five data entities stored within the "client_directory" repository.

🧰 Exposed Functionality Matrix

Instance Oversight

• Enumerate accessible instances
• Retrieve configuration metadata for a specific instance
• Verify operational status

Data Repository Management

• Enumerate available workspaces/data stores
• Retrieve workspace metadata
• Schema definition manipulation (creation, alteration, removal)

Repository Item Operations

• Lifecycle management for tables (CRUD)
• Field addition, modification, and deletion
• Index configuration maintenance

Entity Manipulation

• Create, Read, Update, Delete (CRUD) operations on records
• Support for batch data operations
• Execution of intricate query logic

Asset Handling

• Listing and managing stored files
• Upload and download functionalities

API Layer Tools

• Management of API functional groupings
• Provisioning and tailoring of API access points

🔧 Advanced Customization

Environment Configuration Variables

• XANO_API_TOKEN: Mandatorily required credential for Xano authorization.
• XANO_LOG_LEVEL: Controls verbosity of logging output (default: INFO).
• XANO_DEFAULT_INSTANCE: Specifies the target instance if context is omitted during calls.

Command Line Arguments

bash python xano_mcp_sdk.py --token YOUR_TOKEN --log-level DEBUG

Diagnostic Output Streams

Logs persist in system-specific locations: - macOS: ~/Library/Logs/Claude/mcp*.log - Windows: %APPDATA%\Claude\logs\mcp*.log

To pipe diagnostic output directly to the terminal session: bash python xano_mcp_sdk.py --console-logging

🚨 Debugging Protocol

Should operational anomalies arise, follow these diagnostic steps:

1. Inspect Log Files for error reporting: bash # macOS tail command example tail -n 100 -f ~/Library/Logs/Claude/mcp*.log

# Windows type command example type "%APPDATA%\Claude\logs\mcp*.log"

1. Validate Credential Integrity: Confirm the provided API token is accurate and possesses the necessary execution permissions.

2. Network Connectivity Check: Ensure stable routing to Xano's remote infrastructure.

3. Environment Validation: Confirm the Python runtime and dependency installation state.

🤝 Collaboration & Contribution

We actively solicit external contributions! Feel encouraged to submit proposed enhancements via Pull Request.

📄 Licensing Stipulations

This software is distributed under the terms of the MIT License; consult the LICENSE file for the full declaration.

🙏 Special Thanks

• Acknowledgment to Xano for developing a superior database infrastructure.
• Gratitude to Anthropic for formulating the Model Context Protocol specification.
• Recognition for all contributors and beta testers involved in SDK refinement.