Data Science Ai tools for AI agents. Capabilities: feature importance, model comparison, dat...
Data Science Ai tools for AI agents. Capabilities: feature importance, model comparison, dat...
ML/Data Science toolkit: feature importance ranking, model comparison, dataset profiling, correlation finding, and visualization recommendations. By MEOK AI Labs.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.