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arunmenon

SDK MCP Server

by arunmenon
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Python
Hybrid

SDK MCP Server

A configurable Model Context Protocol (MCP) server that provides searchable access to multiple AI/ML SDK documentation and source code. Currently supports OpenAI Agents SDK and Google ADK, with easy extensibility for additional SDKs.

Purpose

When working with AI/ML SDKs, you often need to:

  • Understand how classes and methods work internally across different SDKs

  • Compare implementations between different frameworks

  • Find the right method signatures and parameters

  • See real implementation examples

  • Debug issues by examining SDK source code

This MCP server gives AI assistants like Claude instant access to multiple SDK sources, making it a powerful development companion for multi-SDK projects.

Quick Start

  1. Install dependencies:

pip install -r requirements.txt

  1. Download SDK sources:

python src/download_sdk.py

This will download all configured SDKs from sdks.yaml.

  1. Configure in Claude Desktop:

Add to your Claude Desktop configuration:

{ "mcpServers": { "sdk-mcp-server": { "command": "python", "args": ["/absolute/path/to/sdk-mcp-server/src/server.py"] } } }

Available Tools

Each configured SDK gets its own set of tools with the SDK prefix. Currently configured:

OpenAI Agents SDK Tools (prefix: openai_agents_)

  • openai_agents_list_files() - List all available OpenAI SDK source files

  • openai_agents_get_source(filename) - Get source code of specific file

  • openai_agents_search_code(query) - Search for terms, methods, or patterns

  • openai_agents_get_class(class_name) - Extract complete class definition

  • openai_agents_find_examples(topic) - Find usage examples and patterns

Google ADK Tools (prefix: google_adk_)

  • google_adk_list_files() - List all available Google ADK source files

  • google_adk_get_source(filename) - Get source code of specific file

  • google_adk_search_code(query) - Search for terms, methods, or patterns

  • google_adk_get_class(class_name) - Extract complete class definition

  • google_adk_find_examples(topic) - Find usage examples and patterns

Cross-SDK Tools (coming soon)

  • list_available_sdks() - Show all configured SDKs

  • search_all_sdks(query) - Search across all SDKs simultaneously

  • compare_implementations(concept, sdk_ids) - Compare similar concepts across SDKs

Usage Examples

Comparing SDKs:

You: "How do OpenAI and Google handle agent creation differently?" Claude: [Uses openai_agents_get_class("Agent") and google_adk_get_class("Agent")] *Compares the different approaches and APIs*

Learning a new SDK:

You: "Show me how to use tools in Google ADK" Claude: [Uses google_adk_search_code("tool") and google_adk_find_examples("tool")] *Explains Google's approach with real examples*

Debugging across SDKs:

You: "Why does handoff work in OpenAI but not in my Google ADK code?" Claude: [Searches both SDKs for handoff implementations] *Identifies the differences and helps fix the issue*

Configuration

Adding a New SDK

Edit sdks.yaml to add new SDKs:

sdks: your_sdk: name: "Your SDK Name" description: "Description of the SDK" source: type: "github" repo: "org/repo-name" branch: "main" path: "src" file_patterns: - "**/*.py" tools: prefix: "your_sdk" descriptions: list_files: "List all Your SDK source files" # ... other tool descriptions

Supported Source Types

  • GitHub repositories - Public repos with Python/TypeScript code

  • Direct URLs (coming soon) - ZIP/TAR archives

  • Local paths (coming soon) - Local SDK installations

File Structure

sdk-mcp-server/ ├── src/ │ ├── server.py # Main MCP server implementation │ └── download_sdk.py # SDK downloader and indexer ├── data/ # Downloaded SDK files (git-ignored) │ ├── openai_agents/ # OpenAI SDK files │ └── google_adk/ # Google ADK files ├── sdks.yaml # SDK configuration ├── requirements.txt # Python dependencies └── run_server.sh # Server startup script

Updating

To get the latest SDK sources:

python src/download_sdk.py

This fetches the latest code from all configured SDKs in sdks.yaml.

Tips for Best Results

  1. Specify the SDK - Mention which SDK you're working with

  2. Use SDK prefixes - Each tool is prefixed with the SDK name

  3. Compare implementations - Ask about differences between SDKs

  4. Request examples - Each SDK has example-finding capabilities

Why This Helps

  • Multi-SDK support - Work with multiple frameworks seamlessly

  • Instant answers - No need to browse multiple repos or docs

  • Direct comparisons - See how different SDKs solve similar problems

  • Accurate information - Always from the latest source code

  • Context-aware - AI understands full implementations across SDKs

Contributing

To add support for a new SDK:

  1. Add configuration to sdks.yaml

  2. Test with python src/download_sdk.py

  3. Submit a pull request

License

MIT License - see LICENSE file for details.

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

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