sf-intelligence — Salesforce org intelligence for AI agents MCP server
Offline, read-only MCP knowledge base for one Salesforce org's metadata, deps & impact.
2 stars73 downloads/wk
Reviews
Write oneNobody has reviewed sf-intelligence — Salesforce org intelligence for AI agents yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
sf-intelligence — Salesforce org intelligence for AI agents tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-21 · same rubric, same numbers if you re-run it
- Code scan5 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 20 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
What the publisher says
From the sf-intelligence — Salesforce org intelligence for AI agents repository's README, as published. We do not edit it. Read it on GitHub
= 20">
sf-intelligence
A grounded, fail-closed backend for AI assistants working in one Salesforce org. Your AI host (Claude, or any MCP client) asks it questions in plain language; it answers from the org's real metadata — never a guess — and labels every claim with how much to lean on it.
sf-intelligence is an offline, read-only, MCP-first knowledge base for a single Salesforce org. You run one retrieve (sf project retrieve); it builds a local Markdown vault and a DuckDB dependency graph. From then on every answer is served locally by default — offline-first, no network egress for vault answers. An opt-in live read-only plane (sfi.live_*) can answer record counts and samples when enabled. Private by design. MIT + Commons Clause.
It is not a standalone chatbot — it has no chat surface. It is the evidence layer an AI host consumes: a router that advises (ranked tool candidates plus explicit disclosures), a host LLM that decides (picks and runs the tools), and an engine that grounds every answer in the vault and fails closed — refusing, disclosing a gap, or asking a clarifying question — when it cannot.
Ask it like a person
You don't need to know the exact API name of anything. The front door is a typo-tolerant resolver that turns messy phrasing into the right component — and when it isn't sure, it asks you a clarifying question instead of guessing:
You: where's the emale field?
It: I found several matches for "email" — which did you mean?
· Email__c on Account
· Email__c on Contact
· AlternateEmailc on Lead
You: what about the paymnet object?
It: Payment__c — one confident match.
You: is there a "warranty fee" field?
It: Nothing matched that confidently. Your vault was last refreshed on
2026-05-20 — want to pull fresh metadata from the org (/sfi-refresh) in case
it's new, or rephrase?
That is the headline behavior for resolution and routing: they never silently commit to a guess. Resolution is always heuristic and labeled as such. When several components are plausible it hands you a clarifying question; when nothing matches it offers to refresh from the org or stop. A high match score is string similarity, not proof. Source grep tools (sfi.searchapexsource, sfi.searchflowmetadata) walk the vaulted source/ tree from your last refresh — run /sfi-refresh before trusting an empty grep result.
Advisory routing — the funnel advises, the host decides
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
Runs npx -y sf-intelligence on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add sf-intelligence -- npx -y sf-intelligence
sf-intelligence — Salesforce org intelligence for AI agents: common questions
- Is sf-intelligence — Salesforce org intelligence for AI agents MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the sf-intelligence — Salesforce org intelligence for AI agents safety report
- How do I install sf-intelligence — Salesforce org intelligence for AI agents?
- It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
- Does sf-intelligence — Salesforce org intelligence for AI agents need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is sf-intelligence — Salesforce org intelligence for AI agents maintained?
- The last commit was 20 days ago (2026-09-01). The latest release is v0.3.2.
- What can I use instead of sf-intelligence — Salesforce org intelligence for AI agents?
- Servers from other publishers that do the same job: Salesforce Cloud MCP server, Salesforce Metadata MCP server and ZelesIA MCP server. Compare all sf-intelligence — Salesforce org intelligence for AI agents alternatives.
Alternatives to sf-intelligence — Salesforce org intelligence for AI agents
Same job from other publishers: the closest match first, then the best rated.
- Salesforce CloudAI-powered Salesforce CRM: opportunity intelligence, conversation analysis, SOQL, analyticsnot reviewedGrowingB
- Salesforce MetadataThe only Salesforce MCP with Agentforce, OmniStudio & DevOps Center tools — 228 total.not reviewedGrowingB
- ZelesIATurn the LinkedIn posts you save into a knowledge base your assistant can search and cite.not reviewedGrowingA
- MINDMIND knowledge-graph memory for agents. 44 tools: CRM, Life, MoneyMIND, Budget, Sheets, Email, Sign.not reviewedGrowingB
Kaseya BMS MCPCLI and MCP server for Kaseya BMS PSA: tickets, CRM, contracts, finance, and offline analytics.not reviewedGrowingB