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MCP streamable-http

Learning Commons Knowledge Graph

org.learningcommons.mcp.kg/learning-commons-knowledge-graph

Align to all 50 states’ academic standards, break them into granular learning components, and trace learning progressions directly from Claude. The Learning Commons Knowledge Graph connects trusted instructional content and learning science into a shared foundation, so Claude can generate more precise, standards-aligned instructional content that supports coherent learning and reflects educational best practices.

Listed in Claude connectors
Watch this dependency Share evidence report
Uptime
—
no probes in 30d
Response
475ms
earlier probe
Tools
—
not inspected yet
Resources
0
readable
Prompts
0
available
Score: 45/100
The server exists but requires sign-in before we can list its tools.
partial Answers the MCP handshake 35/50
The endpoint answered HTTP 401 to an anonymous server/discover, so it exists, but we could not list its tools without credentials.
How to earn +15 points
Let anonymous clients discover what the server offers
Answer server/discover and tools/list without credentials and require auth only on tools/call. If the whole server must stay private, return a WWW-Authenticate header with resource_metadata pointing at /.well-known/oauth-protected-resource (RFC 9728) so MCP clients can sign in on their own; 2026-07-28 clients identify themselves with a Client ID Metadata Document rather than dynamic registration.
Docs →
n/a Lists tools, resources or prompts 0/30
Not scored: a catalogue only counts once the handshake succeeds.
n/a 3 or more catalogue items 0/10
Not scored: a catalogue only counts once the handshake succeeds.
pass Describes itself 10/10
416 characters; more than 30 earns these points.

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://kg.mcp.learningcommons.org/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "learning_commons_knowledge_graph": {
      "url": "https://kg.mcp.learningcommons.org/mcp",
      "transport": "streamable-http"
    }
  }
}