Context7 Smithery AI Agent: Your Smart Library Documentation Hub
detail.loadingPreview
Unlock comprehensive software library documentation with the Context7 Smithery AI Agent. This n8n workflow leverages Google Gemini to intelligently retrieve and present information from Context7's vast library database, streamlining your development process.
About This Workflow
The Context7 Smithery AI Agent is a powerful n8n workflow designed to be your go-to solution for accessing and understanding software library documentation. Powered by the Google Gemini chat model and integrated with Context7's specialized tools, this agent can take a natural language query and deliver precise, relevant documentation. It first intelligently resolves the correct Context7-compatible library ID using the resolve-library-id tool, then fetches detailed documentation on specific topics or the entire library using the get-library-docs tool. This ensures you get the exact information you need, without sifting through generic search results. Boost your productivity and eliminate documentation lookup friction.
Key Features
- Intelligent Documentation Retrieval: Utilizes AI to understand your documentation needs.
- Context7 Integration: Seamlessly connects with Context7's extensive library knowledge base.
- Two-Step Resolution: Accurately identifies library IDs before fetching documentation.
- Topic-Specific Search: Focuses on particular subjects within library docs when requested.
- Customizable Token Limits: Control the length of returned documentation.
How To Use
- Trigger the Workflow: Initiate the workflow by sending a query through the "Context7 Smithery AI Agent MCP Server" webhook, or by manually providing a
queryinput. - AI Agent Processing: The "Context7 AI Agent" node interprets your query and uses the provided system message to guide its actions.
- Library ID Resolution: The agent calls the
resolve-library-idtool (viacontext7-resolve-library-id) to get the specific Context7 ID for the library you're interested in. - Documentation Fetching: The agent then uses the resolved library ID and any specified
topicto call theget-library-docstool (viacontext7-get-library-docs) to retrieve the relevant documentation. - Output: The retrieved documentation is processed and made available as the workflow's output.
Apps Used
Workflow JSON
{
"id": "847e0cf3-3c73-44e6-9c20-ad4ee4bf8158",
"name": "Context7 Smithery AI Agent: Your Smart Library Documentation Hub",
"nodes": 10,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 847e0cf3-3c73...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Related Workflows
Discover more workflows you might like
Effortless Bug Reporting: Slack Slash Command to Linear Issue
Streamline your bug reporting process by instantly creating Linear issues directly from Slack using a simple slash command. This workflow enhances team collaboration by providing immediate feedback and a structured approach to logging defects, saving valuable time for development and QA teams.
Automate Qualys Report Generation and Retrieval
Streamline your Qualys security reporting by automating the generation and retrieval of reports. This workflow ensures timely access to crucial security data without manual intervention.
Automated PR Merged QA Notifications
Streamline your QA process with this automated workflow that notifies your team upon successful Pull Request merges. Leverage AI and vector stores to enrich notifications and ensure seamless integration into your development pipeline.