MCP server
Salesforce AgentForce CKG
io.github.Yarmoluk/ckg-agentforce
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG.
Working at last checkAbout 2,060 tokens per request once connected10 tools
https://ckg-agentforce.onrender.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 10
- Token cost
- About 2,060 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http ckg-agentforce https://ckg-agentforce.onrender.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ckg-agentforce] url = "https://ckg-agentforce.onrender.com/mcp"
Gemini CLI
{"mcpServers":{"ckg-agentforce":{"httpUrl":"https://ckg-agentforce.onrender.com/mcp"}}}
Cursor
{"mcpServers":{"ckg-agentforce":{"url":"https://ckg-agentforce.onrender.com/mcp"}}}
VS Code
{"servers":{"ckg-agentforce":{"type":"http","url":"https://ckg-agentforce.onrender.com/mcp"}}}
Antigravity
agy mcp add ckg-agentforce https://ckg-agentforce.onrender.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"ckg-agentforce","server_url":"https://ckg-agentforce.onrender.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ckg-agentforce","server_url":"https://ckg-agentforce.onrender.com/mcp"}
Tools
evaluate_trust_chain~293 tokens
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-authorized. Trust chain cloexport_benchmark_receipt~163 tokens
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 GuardrailDecisionV1 ·get_prerequisites~140 tokens
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'.list_concepts~52 tokens
List all 40 AgentForce concepts in this knowledge graph.query_ckg~185 tokens
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 Trust Layer',query_intersect~540 tokens
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 anchor alone answerresolution_path~97 tokens
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~269 tokens
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 deterministically. No heursearch_concepts~92 tokens
Find AgentForce concepts by keyword. Args: query: Search term — e.g. 'resolution', 'trust', 'grounding', 'action', 'NIM'.verify_source~229 tokens
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 support
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