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Salesforce AgentForce CKG

io.github.Yarmoluk/ckg-agentforce · v0.10.3

Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG.

Connect Remote server

Terminal
claude mcp add --transport http ckg-agentforce https://ckg-agentforce.onrender.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "ckg-agentforce": {
      "url": "https://ckg-agentforce.onrender.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "ckg-agentforce": {
      "type": "http",
      "url": "https://ckg-agentforce.onrender.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://ckg-agentforce.onrender.com/mcp

Tools 10 found in our last check

  • list_concepts

    List all 40 AgentForce concepts in this knowledge graph.

  • search_concepts

    Find AgentForce concepts by keyword. Args: query: Search term — e.g. 'resolution', 'trust', 'grounding', 'action', 'NIM'.

  • query_ckg

    Traverse the AgentForce knowledge graph from any concept. Returns prerequisites (what this concept needs) and dependents (what it enables). Every relationship traces to an authoritative Salesforce doc URL. Args: concept: Concept name — e.g. 'Autonomous Resolution', 'Einstein Tru…

  • get_prerequisites

    Return the full ordered prerequisite chain for an AgentForce concept. Shows everything the concept depends on — the complete upstream path. Args: concept: Target concept — e.g. 'Autonomous Resolution', 'Multi-LoRA Serving', 'Custom Actions', 'Semantic Retrieval'.

  • resolution_path

    Trace the exact path that determines an AgentForce autonomous resolution event. This is the $2/resolution billing path — what the agent must traverse correctly to resolve autonomously without human handoff.

  • route_query

    Route an AgentForce question to the optimal model and reasoning approach via graph depth. The CKG graph IS the router. AgentForce dependency chains (e.g. Einstein Trust Layer → Data Cloud → NVIDIA NIM → Resolution Criteria) have typed hops that signal reasoning complexity determ…

  • verify_source

    Return the source URL and content hash for an AgentForce concept node. Audit chain: edge answer → graph commit → source_hash → source_url (fetch hint) Verification: curl -s <source_url> | sha256sum # compare output to source_hash Args: concept: Concept label (partial match suppo…

  • export_benchmark_receipt

    Generate a signed BoundaryAttest receipt for the agentforce CKG benchmark result. Produces a `ckg.benchmark_result.exported` claim signed with this server's Ed25519 session key. Any party holding the public key can verify the signature over the canonical JSON claim. Implements G…

  • evaluate_trust_chain

    Return a machine-readable JSON trust chain + ROI analysis + payment recommendation. Designed for autonomous agent consumption. The agent reads the JSON, evaluates the ROI gate, selects the cheapest positive-ROI payment option, and purchases autonomously if budget is pre-authoriz…

  • query_intersect

    Answer a conjunctive query: concepts reachable from EVERY anchor at once (A AND B). query_ckg walks outward from one concept. This intersects the reachable sets of two or more, which is the shape of most real questions — "the component that satisfies A AND applies to B". Neither…

Details

Endpointhttps://ckg-agentforce.onrender.com/mcp (Streamable HTTP)
Package[email protected] (PYPI, stdio)
First published29 Jul 2026
Last updated29 Jul 2026
Registry nameio.github.Yarmoluk/ckg-agentforce

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