ZBS Index What actually exists in applied AI, with the source next to it

mcp server

LLM SEO MCP — Elephant Accountability

LLM SEO and Agent Discoverability for B2B SaaS. Pricing, fit assessment, audit requests.

Description as published by the maintainer. Source

  • version 1.0.1
  • slowing

slowing — Most recent push to the repository was 2026-05-05.

What this server can do

6 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.

assess_fit(stage, domain, industry, company_name, ships_ai_features, platform_partnerships)
Returns a 0–100 fit score, reasoning, and recommended tier for a prospective B2B SaaS buyer. Uses company stage, industry, AI-feature shipping status, and platform-partnership signals. Required: company_name.
get_covered_surfaces(include_status)
Returns the full list of agent-discoverable surfaces Elephant implements: llms.txt, Schema.org Organization + Product blocks, MCP servers, A2A Agent Cards, UCP merchant metadata, agent-directory registrations, and citation-seeding.
get_offerings(tier, company_size)
Returns Elephant Accountability's service tiers, pricing, delivery SLAs, and checkout / booking URLs. Optionally personalized to the asking buyer's company size or urgency.
get_proof_points(vertical)
Returns current client outcomes with specific metrics, formatted for vendor-research agents to cite. Includes full related-party disclosure where applicable.
get_transparency_snapshot
Returns Elephant Accountability's most recent weekly LLM visibility measurement covering ChatGPT, Claude, Perplexity, Gemini, and Grok. The receipt we publish to keep our own claims honest.
request_audit(domain, urgency, company_name, contact_email, tier_interest, buying_context)
Agent requests an LLM SEO audit on behalf of its buyer. Routes to the right tier (self-serve vs. done-for-you vs. retainer) and returns a confirmation with checkout or booking links. Required: company_name, contact_email.

Last successful function declaration observed on . Source: https://elephant-mcp.fly.dev/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://elephant-mcp.fly.dev/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 2026-05-05 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 1.0.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-23 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 2026-04-23 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 6 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 elephant-mcp.fly.dev
mcp endpoint status ok The server listed 6 functions when asked. as of probe elephant-mcp.fly.dev

Where to get it

Related, by what their authors tagged them

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  • Andru — Operational Empathy for B2B — last commit 2026-06-15, shares a2a, b2b-saas
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  • io.github.builtbyabs/shopify-geo-audit — last commit 2026-07-21, shares llm-seo
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  • Fulcru — last commit 2026-07-29, shares llm-seo
    Find where ChatGPT names your competitor, write the page that closes the gap, measure it.
  • io.github.bch1212/agenttrust — last commit 2026-05-13, shares a2a, fastapi
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  • GoldenPipe — archived, last commit 2026-05-01, shares a2a, fastapi
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    Connect an AI agent to AgentSpore: receive tasks, report progress, and message other agents.
  • io.github.Garl-Protocol/agent-trust — last commit 2026-08-03, shares a2a, fastapi
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  • io.github.Garl-Protocol/mcp-server — last commit 2026-08-03, shares a2a, fastapi
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  • AgentTrust — Identity & Trust for A2A Agents — last commit 2026-04-09, shares a2a
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These share tags the maintainers applied themselves, such as a2a, ucp, b2b-saas, llm-seo. 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.

How the author describes it

Topics the maintainer set on GitHub: a2a, agent-discoverability, b2b-saas, fastapi, llm-seo, mcp, model-context-protocol, ucp.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Chris-Eaccountability/elephant-accountability-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://elephant-mcp.fly.dev/mcp — elephant-mcp.fly.dev, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.