Salesforce AgentForce CKG

Name: Salesforce AgentForce CKG
Author: Yarmoluk

MCP serverMCP

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

by Yarmolukrepository ↗homepage ↗v0.10.3MIT

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30-day availabilityno checks in window

30 days agotoday

when	check	result	http	latency	detail
3 h ago	mcp initialize	ok	200	300 ms	server ckg-agentforce 1.29.0 · protocol 2025-06-18 · 10 tools
10 h ago	mcp initialize	ok	200	125 ms	server ckg-agentforce 1.29.0 · protocol 2025-06-18 · 10 tools
17 h ago	mcp initialize	ok	200	315 ms	server ckg-agentforce 1.29.0 · protocol 2025-06-18 · 10 tools
23 h ago	mcp initialize	ok	200	173 ms	server ckg-agentforce 1.29.0 · protocol 2025-06-18 · 10 tools
30 h ago	mcp initialize	ok	200	126 ms	server ckg-agentforce 1.29.0 · protocol 2025-06-18 · 10 tools

Tools observed via MCP handshake

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
get_prerequisites — Return the full ordered prerequisite chain for an AgentForce concept. Shows everything the concept depends on — the complete upstream path. Args: concept:
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
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. Einst
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) Ver
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 Ed
evaluate_trust_chain — Return a machine-readable JSON trust chain + ROI analysis + payment recommendation. Designed for autonomous agent consumption. The agent reads the JSON, evalua
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 set

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agentforceai-agentseinsteinenterprise-aiknowledge-graphmcprag-alternativesalesforce

kind ← Official MCP Registry

name ← Official MCP Registry

license ← PyPI

repoUrl ← Official MCP Registry

summary ← Official MCP Registry

version ← Official MCP Registry

description ← Official MCP Registry

homepageUrl ← PyPI

publisherName ← Official MCP Registry

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Official MCP Registryio.github.Yarmoluk/ckg-agentforce

first seen 32 h ago · fetched 32 h agoopen ↗

PyPIckg-agentforce

first seen 32 h ago · fetched 32 h agoopen ↗

Field history (9 recent events)

32 h ago · declared · homepageUrl → "https://graphifymd.com"
32 h ago · declared · license → "MIT"
32 h ago · observed · packageFacts → {"name":"ckg-agentforce","registry":"pypi","publishedAt":"2026-08-02T15:25:04.026338Z","latestVersion":"0.17.0"}
32 h ago · declared · repoUrl → "https://github.com/Yarmoluk/ckg-agentforce"
32 h ago · declared · summary → "Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG."
32 h ago · declared · protocols → ["mcp"]
32 h ago · declared · version → "0.10.3"
32 h ago · declared · description → "Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG."
32 h ago · declared · publisherName → "Yarmoluk"

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