$ loading_
Connect AI to Graphlit for content access, retrieval, and context automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "graphlit-mcp-server" yet — see the docs or source repo.
Use the Graphlit MCP server to connect to my Graphlit workspace, search for content related to "customer feedback," and return summaries of the 5 most relevant results.
A list of relevant results from the Graphlit content library with brief summaries for quick understanding.
Use Graphlit MCP to read my imported product documents, extract background information related to a new feature launch, and organize it into a context summary an AI can use directly.
A structured context summary highlighting key document information for downstream writing or Q&A tasks.
Use Graphlit MCP to check the processing status of newly ingested content, list completed, in-progress, and failed items, and suggest next steps.
A content processing status report with actionable next-step recommendations.
Provides extensible MCP access to LangGraph documentation and resources.
Query structured data in natural language without needing SQL or API expertise.
Access and manage Langfuse prompts through MCP for faster prompt workflows.
Connect to Jupyter via MCP to run code and explore data interactively.
Integrate Google Search into AI apps for real-time web retrieval.
Call tools like weather lookup via MCP with reusable resources and prompts.