sf-intelligence — Salesforce org intelligence for AI agents MCP server
io.github.PranavNagrecha/sf-intelligence·v0.3.3·3 starsOffline, read-only MCP knowledge base for one Salesforce org's metadata, deps & impact.
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
- 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
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
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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