ListRiver
PYPI · LISTRIVER-MCP
Search new and active U.S. businesses from state registries: new LLCs by state, city, ZIP, NAICS.
Available components
Last scanned (1 hour ago)
Scores higher than 57% of PyPI servers
Category Search and Retrieval
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
- Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to ListRiver-LLC/listriver-api). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability56
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 986 tokens (~328/item across 3 items; 3 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 Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 3 Nov 26 60
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 pypi/listriver-mcp@0.1.0
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 | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | ListRiver-LLC/listriver-api |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/ListRiver-LLC/listriver-api/.github/workflows/publish-mcp.yml@refs/tags/mcp-v0.1.0 |
| Rekor log index | 3670639049 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:e0f24e77aaee39566b7f00b13be5163513cbc71c965ee6bb2c578168b1e424ba |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 33 packages
| Packages resolved | 33 |
|---|---|
| No linked repository | 1 |
| 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 →
count_businesses ~349
Count businesses matching the filters, per state. Free: use it before search_businesses. Args: states: Comma-separated two-letter registration states, e.g. "FL" or "FL,TX". Required with city, county or zip. city: Comma-separated business cities, e.g. "MIAMI". county: Comma-separated counties, e.g. "MIAMI-DADE" (or "FL:MIAMI-DADE"). zip: Comma-separated 5-digit ZIP codes or 3-digit ZIP prefixes, e.g. "33139,331". naics: Comma-separated NAICS prefixes, 2-6 digits, e.g. "23" (construction) or "722511". entity_type: Comma-separated of LLC, CORP, LP, LLP, NONPROFIT, OTHER. has_phone: Only businesses with a phone number on file. has_email: Only businesses with an email on file. formed_within: Formed in the current month or the N months before it (1 = this month or last). Set 0 for any formation date. formed_from: First formation month, "YYYY-MM" (overrides formed_within). formed_to: Last formation month, "YYYY-MM" (overrides formed_within).
| Name | Type | Req | Description |
|---|---|---|---|
| city | – | – | – |
| county | – | – | – |
| entity_type | – | – | – |
| formed_from | – | – | – |
| formed_to | – | – | – |
| formed_within | – | – | – |
| has_email | boolean | – | – |
| has_phone | boolean | – | – |
| naics | – | – | – |
| states | – | – | – |
| zip | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
list_states ~48
List the states ListRiver covers, with how many businesses each has: formed this month or last ("recent"), in the last 12 months ("year"), and every active business ("all"). Free.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
search_businesses ~346
Get businesses matching the filters (same filters as count_businesses). USES THE USER'S RECORDS: each business returned counts, every time it is returned, so ask only for what the user needs. Args: states: Comma-separated two-letter registration states. Required with city, county or zip. city: Comma-separated business cities. county: Comma-separated counties. zip: Comma-separated 5-digit ZIP codes or 3-digit prefixes. naics: Comma-separated NAICS prefixes, 2-6 digits. entity_type: Comma-separated of LLC, CORP, LP, LLP, NONPROFIT, OTHER. has_phone: Only businesses with a phone number on file. has_email: Only businesses with an email on file. formed_within: Formed in the current month or the N months before it (1 = this month or last; 0 = any date). formed_from: First formation month, "YYYY-MM". formed_to: Last formation month, "YYYY-MM". limit: How many businesses to return, 1-100 (default 25). cursor: The cursor from a previous search_businesses answer, to get the next businesses of the same search.
| Name | Type | Req | Description |
|---|---|---|---|
| city | – | – | – |
| county | – | – | – |
| cursor | – | – | – |
| entity_type | – | – | – |
| formed_from | – | – | – |
| formed_to | – | – | – |
| formed_within | – | – | – |
| has_email | boolean | – | – |
| has_phone | boolean | – | – |
| limit | integer | – | – |
| naics | – | – | – |
| states | – | – | – |
| zip | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | object | yes | – |
No examples provided.
How do I install the ListRiver MCP server?
ListRiver runs locally as a PyPI package, launched with uvx listriver-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · listriver-mcp
claude mcp add listriver-llc-listriver -- uvx listriver-mcp
What is the ListRiver MCP server?
ListRiver is an MCP server listed in the public MCP registry as io.github.ListRiver-LLC/listriver. Search new and active U.S. businesses from state registries: new LLCs by state, city, ZIP, NAICS. This page covers its PyPI package (listriver-mcp).
Is the ListRiver MCP server safe to use?
ListRiver scores 60 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. 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 ListRiver MCP server expose?
ListRiver exposes 3 tools: list_states, count_businesses, search_businesses. Their descriptions and schemas cost roughly 743 tokens of context every time the server is loaded.
Is the ListRiver MCP server still maintained?
ListRiver 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 ListRiver MCP server under?
ListRiver declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.