MCP: Onshape FeatureScript MCP Server
by PTC (Onshape)
PTC's MCP server for Onshape: describe a custom CAD feature in plain language and have an AI write, insert, run and debug the FeatureScript until it works.
Control Blender from an AI client — build scenes, apply materials, and run Python against the live session.
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Blender MCP connects an AI assistant to a running Blender session through an add-on, letting it inspect and modify the scene by conversation. It is one of the most visually striking demonstrations of what MCP enables.
It is excellent for scene assembly, procedural work, batch operations, and learning Blender's Python API. It is not going to model a hero character for you. The sweet spot is the tedious middle — arranging, lighting, applying consistent materials, and scripting repetitive edits.
Install the Blender add-on from the repository, start the connection in Blender, and run uvx blender-mcp in your client.
by PTC (Onshape)
PTC's MCP server for Onshape: describe a custom CAD feature in plain language and have an AI write, insert, run and debug the FeatureScript until it works.
Official MCP server for the Mux video API, built on a code-execution scheme: the agent writes TypeScript against the SDK and runs it in a Deno sandbox.
Red Hat's zero-dependency C++23 code-context engine — ranked call graphs and blast-radius analysis, indexing a repo in under half a second with no server and no database.
Builds a searchable markdown graph of your repo so coding agents stop re-exploring it on every task — reported 42% fewer tokens and 46% fewer tool calls.