mcp server
bizintel
Local business intel for AI agents: audits, lead scoring, tech stack, prospecting.
Description as published by the maintainer. Source
- version 0.1.0
- slowing
- evaluation
slowing — Most recent push to the repository was 2026-05-13. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
8 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
audit_website(url)- Score a website 0-100 across SSL, mobile-readiness, speed, contact, booking. Required: url.
bulk_audit(urls)- Audit up to 20 URLs concurrently. Results sorted worst-first (best leads first). Required: urls.
find_no_booking(city, limit, niche, state)- Businesses with a website but no online booking system. Big opportunity for SaaS pitches. Required: niche, city.
find_no_website(city, limit, niche, state)- Find businesses in a niche with NO website at all — hottest cold-outreach leads. Required: niche, city.
get_business_details(city, business_name)- Resolve a single business to phone, address, website, hours, rating. Required: business_name, city.
get_tech_stack(url)- CMS, booking platform, email provider, analytics detected on a target URL. Required: url.
score_lead(city, niche, business_name)- Composite 0-100 lead score combining audit + demand signal. Required: business_name, city.
search_businesses(city, limit, niche, state)- Find local businesses by niche + city. Yelp-backed; OSM fallback if Yelp not configured. Required: niche, city.
Last successful function declaration observed on . Source: https://mcp-bizintel-production.up.railway.app/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp-bizintel-production.up.railway.app/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-05-13 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-09 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-09 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 8 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp-bizintel-production.up.railway.app | |
| mcp endpoint status | ok | The server listed 8 functions when asked. | as of probe | mcp-bizintel-production.up.railway.app |
Where to get it
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These share tags the maintainers applied themselves, such as website-audit, lead-generation, sales-intelligence, fastmcp. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
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How the author describes it
Topics the maintainer set on GitHub: ai-agents, claude, claude-mcp, fastmcp, lead-generation, local-business, mcp, mcp-server, model-context-protocol, sales-intelligence, website-audit, yelp.
This record as data
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