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sf-intelligence — Salesforce org intelligence for AI agents MCP server

by PranavNagrecha·io.github.PranavNagrecha/sf-intelligence·v0.3.3·3 stars

Offline, read-only MCP knowledge base for one Salesforce org's metadata, deps & impact.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

3 stars73 downloads/wk

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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 v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it

no findings
  • 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 12 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How sf-intelligence — Salesforce org intelligence for AI agents compares

Against every graded Sales and outbound MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 88% of 874 Sales and outbound servers
GitHub stars
3
more than 83% of 420 Sales and outbound servers
Downloads a week
73
more than 53% of 157 Sales and outbound servers with a package

Release history: 2 versions in the registry since 2026-08-24, latest 2026-10-03, typically one every 40 days.

Install sf-intelligence — Salesforce org intelligence for AI agents in Claude Code, Cursor or VS Code

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
Add to Cursor

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

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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.

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, Cursor, VS Code or Claude Desktop config from the install section.
Does sf-intelligence — Salesforce org intelligence for AI agents need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is sf-intelligence — Salesforce org intelligence for AI agents maintained?
The last commit was 17 days ago (2026-10-19). The latest release is v0.3.3.
What can I use instead of sf-intelligence — Salesforce org intelligence for AI agents?
Servers from other publishers that do the same job: Salesforce Metadata MCP server, Salesforce Cloud MCP server and Sfcc Dev MCP server.
How does sf-intelligence — Salesforce org intelligence for AI agents compare with other Sales and outbound MCP servers?
safety score 92/100 (higher than 88% of 874 Sales and outbound servers); github stars 3 (more than 83% of 420 Sales and outbound servers); downloads a week 73 (more than 53% of 157 Sales and outbound servers with a package). Full comparison.

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