Sba Loans
NPM · @PIPEWORX/MCP-SBA-LOANS · 2 COMPONENTS
SBA loans MCP — U.S. Small Business Administration 7(a) / 504 FOIA loan data (fleet #1921, phase…
Available components
Last scanned (13 hours ago)
Scores higher than 34% of npm servers
Category Finance and Payments
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-sba-loans). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 0 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability67
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1228 tokens (~204/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "sba_charge_off_aggregate" implies "charge" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Checks we ran (15)
- Known CVEs
- Install scripts
- Dependency health
- Source repository
- Provenance
- License
- Maintenance
- Security disclosure
- Schema quality
- Stability
- Tool coverage
- Injection markers
- Destructive annotations
- Judged manipulation
- MCP protocol
Checks we could not complete (1)
These are gaps on our side, not findings about this package. We only credit what we can confirm, so a category made up entirely of them scores 0.
- Malware scan in Supply Chain SecurityMalware scan not yet available for this package.
Does not apply to this package (2)
- Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
- Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
The score does not measure everything. What the score does not measure →
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 −15
- Stability: 0.20 → unverified ▼ security
- Malware scan: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- Package version: 0.2.0 → 0.2.1 functional
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.
- 31 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 29 Oct 26 78
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@pipeworx/mcp-sba-loans@0.2.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | pipeworx-io/mcp-sba-loans |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/pipeworx-io/mcp-sba-loans/.github/workflows/publish.yml@refs/heads/main |
| Rekor log index | 3692337493 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:0f4c4c3b9c7ed1048e6b787b621aebf9766dfaa0134dcb137940f3da0999a100e968b2cc096b36c149c056e2a5d82ef397c3a3a95e5233890e2848ebf |
Background: How many MCP packages publish verified provenance →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
ppp_aggregate ~187
Paycheck Protection Program (PPP) totals grouped by NAICS industry code, borrower state, or servicing lender: loan count, total approved, loans and dollars forgiven, forgiveness rate, and total jobs reported. Optionally scoped to one borrower state. Answers "which industries got the most PPP money in Texas" or "which lenders serviced the most PPP dollars". Business borrowers only (sole proprietors and individuals excluded). Source: SBA PPP FOIA data, as of 2024-09-30.
| Name | Type | Req | Description |
|---|---|---|---|
| group_by | string | – | naics | state | lender (default naics). |
| limit | number | – | Max groups to return (1-100, default 25). |
| order_by | string | – | Rank by total approved amount (default), loan count, or jobs reported. |
| state | string | – | Optional 2-letter borrower state code to scope before grouping. |
No output schema declared.
No examples provided.
ppp_loan_lookup ~264
Look up a business's Paycheck Protection Program (PPP) loan(s) by borrower name. Returns each loan's approved amount, jobs_reported (the headcount the business stated on its 2020-21 application), NAICS code, servicing and originating lender, approval date, first or second draw, loan status, and forgiveness amount and date. Names match from their first word ("Sumter Coatings" finds "SUMTER COATINGS, INC."); add zip to also match a word inside the name. Business borrowers only: sole proprietors, self-employed individuals and borrowers named as a person are excluded, and no street address is stored. Source: SBA PPP FOIA data, as of 2024-09-30.
| Name | Type | Req | Description |
|---|---|---|---|
| borrower_name | string | yes | Business name, from its first word, e.g. "Sumter Coatings". Suffixes like Inc/LLC and punctuation are ignored. |
| limit | number | – | Max loans to return (1-100, default 20). |
| state | string | – | Optional 2-letter borrower state code to narrow common names, e.g. "SC". |
| zip | string | – | Optional 5-digit borrower ZIP. With it, a word inside the name also matches. |
No output schema declared.
No examples provided.
sba_charge_off_aggregate ~176
Charge-off rate and dollar amount, aggregated by NAICS code, state, lender, or program. Answers "which industries have the highest SBA loan charge-off rate" or "charge-off amount by state". charge_off_rate is charged-off loan COUNT divided by total loan count in that group (not dollar-weighted).
| Name | Type | Req | Description |
|---|---|---|---|
| group_by | string | – | One of: naics | state | lender | program (default naics). |
| limit | number | – | Max groups to return (1-100, default 25). |
| naics_code | string | – | Optional 6-digit NAICS code to scope before grouping. |
| program | string | – | Optional: "7A" or "504" to scope before grouping. |
| state | string | – | Optional 2-letter borrower state code to scope before grouping. |
No output schema declared.
No examples provided.
sba_largest_loans ~160
Largest SBA 7(a)/504 loans, ranked by gross approval amount, filterable by program, NAICS code, borrower state, and/or lender name. Answers "what are the biggest SBA loans in NAICS X" or "largest SBA loans in Texas".
| Name | Type | Req | Description |
|---|---|---|---|
| lender_name | string | – | Optional lender name substring, e.g. "Wells Fargo". |
| limit | number | – | Max loans to return (1-100, default 25). |
| naics_code | string | – | Optional 6-digit NAICS code, e.g. "722511" (restaurants). |
| program | string | – | Optional: "7A" or "504". |
| state | string | – | Optional 2-letter borrower state code. |
No output schema declared.
No examples provided.
sba_lender_league_table ~183
Lender league table — ranks lenders by SBA loan count and total dollar volume. For 7(a) loans "lender" is the originating bank; for 504 loans it is the CDC (Certified Development Company) that books the debenture. Answers "which bank does the most SBA lending in NAICS Y" or "top SBA 504 lenders in California".
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Max lenders to return (1-100, default 25). |
| naics_code | string | – | Optional 6-digit NAICS code. |
| program | string | – | Optional: "7A" or "504". Omit to combine both (note: 7(a) banks and 504 CDCs are different kinds of entity, so combining programs mixes those populations). |
| state | string | – | Optional 2-letter borrower state code. |
No output schema declared.
No examples provided.
sba_loan_lookup ~202
Look up a small business's SBA 7(a) or 504 loan(s) by borrower name. Returns individual loan records: amounts, lender, approval date, status (P I F / PIF = paid in full, CHGOFF = charged off, CANCLD = cancelled, EXEMPT), and — for charged-off loans — the charge-off amount. Street addresses are never stored or returned (city/state/ZIP only). Scope to a state to disambiguate common business names.
| Name | Type | Req | Description |
|---|---|---|---|
| borrower_name | string | yes | Business or sole-proprietor name to search (substring match), e.g. "Ameripro Construction". |
| limit | number | – | Max loans to return (1-100, default 20). |
| program | string | – | Optional: "7A" or "504". Omit to search both. |
| state | string | – | Two-letter state code to scope the search, e.g. "PA". |
No output schema declared.
No examples provided.
How do I install the Sba Loans MCP server?
Sba Loans runs locally as an npm package, launched with npx -y @pipeworx/mcp-sba-loans. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @pipeworx/mcp-sba-loans
claude mcp add pipeworx-io-sba-loans -- npx -y @pipeworx/mcp-sba-loans
What is the Sba Loans MCP server?
Sba Loans is an MCP server listed in the public MCP registry as io.github.pipeworx-io/sba-loans. SBA loans MCP, U.S. Small Business Administration 7(a) / 504 FOIA loan data (fleet #1921, phase… This page covers its npm package (@pipeworx/mcp-sba-loans).
Is the Sba Loans MCP server safe to use?
Sba Loans scores 66 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Sba Loans MCP server expose?
Sba Loans exposes 6 tools: sba_loan_lookup, sba_largest_loans, sba_lender_league_table, sba_charge_off_aggregate, ppp_loan_lookup, ppp_aggregate. Their descriptions and schemas cost roughly 1,172 tokens of context every time the server is loaded.
Is the Sba Loans MCP server still maintained?
Sba Loans is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Sba Loans MCP server under?
Sba Loans declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.
What did VerifyMCP test on the Sba Loans MCP server?
VerifyMCP ran 15 checks on Sba Loans, covering Known CVEs, Install scripts, Dependency health, Source repository and 11 more. One item could not be completed, a gap on our side rather than a finding about Sba Loans: Malware scan. Endpoint Security and Transport & Reachability do not apply to an npm package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.