$ loading_
Enable AI agents to access Synapse datasets, projects, files, and tables.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "synapse-mcp" yet — see the docs or source repo.
Connect to Synapse and list the datasets, folders, and files in a specified project, then summarize them by type.
A structured inventory of project assets, summarized by datasets, folders, files, and other types.
Read the most recently updated records from a Synapse table, extract key fields, and generate a brief data overview.
A summary of table records, key field values, and a basic overview of the data.
Browse the file and folder structure in a Synapse project, identify resources related to a research topic, and list their paths.
A list of relevant resources with names, paths, and notes on how they relate to the research topic.
Build production-ready agent services with Synapse, Solana, and hosted workflows.
Connect to the mcp API via MCP to extend AI tool capabilities.
Sync user profile and audience data with confirmation, verification, and rollback controls.
Manage team memory, tasks, handoffs, and search in one MCP tool.
Connect AI agents to control local JupyterLab for coding and analysis.
Connect to Jupyter via MCP to run code and explore data interactively.