Picsha AI

AI-native digital asset management: semantic search, generative image edits, and CDN delivery.

What does this entry provide?

Picsha AI is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. 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 Picsha AI to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 100/100
Install method: streamable-http
Repo: Registry only
Repo updated: Oct 1, 2026

Install command

mcp add ai.picsha/picsha https://api.picsha.ai/v1/mcp

Install method: streamable-http

Review the upstream source before running this command.

Source entry

Quality

100

Repo stars

Repo updated

Oct 1, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-01T18:00:10.577455Z",
      "publishedAt": "2026-10-01T18:00:10.577455Z",
      "statusChangedAt": "2026-10-01T18:00:10.577455Z"
    }
  },
  "server": {
    "name": "ai.picsha/picsha",
    "title": "Picsha AI",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://api.picsha.ai/v1/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "isSecret": true,
            "isRequired": true,
            "description": "Picsha API key as a Bearer token: 'Bearer sk_...' (generate one at https://picsha.ai/admin/keys)"
          },
          {
            "name": "x-external-user-id",
            "description": "Optional: scope the session to a single end user for multi-tenant deployments"
          }
        ]
      }
    ],
    "version": "1.0.3",
    "packages": [
      {
        "version": "2.3.3",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@picsha-ai/mcp-server",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "PICSHA_API_KEY",
            "format": "string",
            "isSecret": true,
            "isRequired": true,
            "description": "Your Picsha API key (generate one at https://picsha.ai/admin/keys)"
          },
          {
            "name": "PICSHA_EXTERNAL_USER_ID",
            "format": "string",
            "description": "Optional: record this end user as the owner of uploads. Does not limit what the agent can read; use the remote endpoint to scope a session to one end user"
          }
        ]
      }
    ],
    "websiteUrl": "https://www.picsha.ai/docs/mcp",
    "description": "AI-native digital asset management: semantic search, generative image edits, and CDN delivery."
  }
}

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