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Evidence-backed architecture-quality analysis for Python agent applications.
UpToCode is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 64/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding UpToCode to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add io.github.DDYRich72/uptocode https://uptocode-mcp-1015314816960.us-central1.run.app/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-07-20T17:04:57.809548Z",
"publishedAt": "2026-07-20T17:04:57.809548Z",
"statusChangedAt": "2026-07-20T17:04:57.809548Z"
}
},
"server": {
"name": "io.github.DDYRich72/uptocode",
"title": "UpToCode",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://uptocode-mcp-1015314816960.us-central1.run.app/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"value": "Bearer {UPTOCODE_API_KEY}",
"variables": {
"UPTOCODE_API_KEY": {
"isSecret": true,
"isRequired": true,
"description": "Private-beta credential supplied separately by the UpToCode operator."
}
}
}
]
}
],
"version": "1.0.0",
"packages": [
{
"version": "1.0.0",
"transport": {
"type": "stdio"
},
"identifier": "uptocode",
"runtimeHint": "uvx",
"registryType": "pypi",
"packageArguments": [
{
"type": "positional",
"value": "serve"
},
{
"name": "--transport",
"type": "named",
"value": "stdio"
}
]
}
],
"repository": {
"id": "1305781548",
"url": "https://github.com/DDYRich72/UpToCode",
"source": "github"
},
"websiteUrl": "https://github.com/DDYRich72/UpToCode#readme",
"description": "Evidence-backed architecture-quality analysis for Python agent applications."
}
}