uxcam-integration
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Endpoint
Hosted endpoint · transport streamable-http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tool quality observed · not scored
tools with readOnly / destructive hints
parameters described (12 total)
state-changing tools without destructiveHint
tool-list tokens (3 tools)
tools over ~1,200 tokens
From an anonymous initialize + tools/list capture measured 2026-10-20; tokens are chars/3.6 of each tool definition. Recorded for the Kin Score's agent readiness as an observed signal — it contributes no points yet.
Tools
uxcam_list_resources— List available UXCam MCP resource URIs. Args: prefix: Optional **URI** prefix filter (e.g., "mcp://uxcam/docs/android/latest/"). Do NOT pass keywords like "installation" — use uxcam_search_resources(query="installation") instead. Returns: { "uris": [ ... ], "count":, "total": , "prefix": " ", # When keyword misuse is detected: "hint": " ", "top_matches": [ {"uri": str, "title": str, "score": int} ] } uxcam_read_resource— Read a UXCam MCP resource by URI and return content with metadata. Args: uri: mcp://uxcam/... URI include_code_blocks: Include extracted code blocks (if available). max_chars: Truncate returned text to this many chars (optional) with_metadata: Include metadata gathered from frontmatter/file. include_frontmatter: Keep YAML frontmatter in the returned text. Set False to strip it for token-efficient LLM consumption. Returns: { "uri": str, "mimeType": str, "text": str, "metadata": dict?, "code_blocks": [ {content, language, title, ...} ]? }uxcam_search_resources— Naive-but-robust search across resources with synonyms and ranking. Args: query: free text, e.g. "installation" or "screen analytics" platform: optional ("android" | "ios" | "react-native" | "flutter" | "web") phase: optional, ignored but kept for back-compat scope_prefix: optional URI prefix; if absent and platform is set, defaults to f"mcp://uxcam/docs/{platform}/" limit/offset: pagination Returns: { "matches": [ {"uri": str, "title": str, "score": int} ], "count":, # number returned "total": , # total available (after scoring) "scope_prefix": " ", "query": " ", "slug_used": " " }
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.