Spala Public MCP
@Spala AI
About Spala Public MCP
Connect agents to Spala discovery, OAuth metadata, and project MCP handoff guidance.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"spala_public_mcp": {
"type": "http",
"url": "https://mcp.spala.ai/mcp"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Spala Public MCP?
Spala Public MCP is the public Model Context Protocol front door for Spala, an AI-assisted backend platform for creating project backends, APIs, auth, database models, functions, tasks, and publishable API contracts.
Use this remote MCP server for discovery: it explains what Spala is, returns onboarding/tool-map data for agents, exposes public docs/templates/addons, and advertises the canonical Spala OAuth metadata. Backend changes are intentionally handled by the selected project MCP after Spala platform authentication.
Remote server
- MCP endpoint: https://mcp.spala.ai/mcp
- Transport: Streamable HTTP
- Install manifest: https://mcp.spala.ai/mcp/install-manifest
- OAuth protected resource: https://mcp.spala.ai/.well-known/oauth-protected-resource
- OAuth authorization server: https://mcp.spala.ai/.well-known/oauth-authorization-server
What agents can do
- Learn Spala's public onboarding flow before signing in.
- Search agent-facing Spala docs.
- List backend templates and addons.
- Discover the boundary between public MCP and project MCP.
- Receive OAuth guidance for Spala platform authentication.
- Avoid hardcoding project MCP URLs; project handoff must use explicit URLs returned by Spala.
Boundary
The public MCP does not directly mutate customer project backends. Project operations fail closed in this standalone release until a verified platform/project handoff contract is available. After an authenticated project MCP is selected, agents should use that project MCP for build, validate, publish, and review workflows.
Client setup
codex mcp add spala_public_mcp --url "https://mcp.spala.ai/mcp"
codex mcp login spala_public_mcp --scopes api
gemini mcp add --scope user --transport http spala_public_mcp "https://mcp.spala.ai/mcp"
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