ENDPOINT 1
https://www.kinestex.com/mcp
MCP server metadata
- Name
- kinestex-docs
- Version
- 1.0.0
Documentation server for the KinesteX motion-tracking SDK (Swift, Kotlin, React Native, Flutter, HTML/JS, React TS). Call search_docs to find relevant pages, read_doc to fetch a page as Markdown, list_docs for the full page list.
Known tools 3
read_docRead a full KinesteX documentation page as Markdown (code samples for all platforms included).
Inferred read-onlylist_docsList every KinesteX documentation page with its path, title, and one-line description.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.kinestex-docs]
url = "https://www.kinestex.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"kinestex-docs": {
"type": "http",
"url": "https://www.kinestex.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: kinestex-docs
Remote MCP URL: https://www.kinestex.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"kinestex-docs": {
"url": "https://www.kinestex.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"kinestex-docs": {
"type": "http",
"url": "https://www.kinestex.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "kinestex-docs",
"transport": "streamable-http",
"url": "https://www.kinestex.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for kinestex.com was fetched 2026-08-01T04:27:57.507Z and is being refreshed.
kinestex.com is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.