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

mcp server

Silicon Friendly

Directory rating websites on AI-agent-friendliness. Search, lookup, and submit.

Description as published by the maintainer. Source

  • version 1.0.1
  • slowing
  • retrieval

slowing — Most recent push to the repository was 2026-03-29. 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.

check_agent_friendliness(domain)
Quick check if a website is in the Silicon Friendly directory and its agent-friendliness level. Args: domain: The website domain to check (e.g. "stripe.com", "github.com") Returns: Simple response with domain, in_directory, level (L0-L5), and whether it's verified. Required: domain.
get_levels_info
Get info about the 5-level rating system and all 30 criteria. Returns: The level system explanation and all criteria with their descriptions.
get_verify_queue(auth_token)
Get websites that need verification. Verify them to earn 10 search queries each. Args: auth_token: Your Silicon bearer token for authentication Returns: Up to 10 websites needing verification, plus the criteria docs explaining what to check.
get_website(domain)
Get details about a specific website in the Silicon Friendly directory. Args: domain: The website domain (e.g. "stripe.com", "github.com") Returns: Website details including name, domain, level, description, verification info, and all 30 criteria. Required: domain.
list_verified_websites(page)
List all verified websites in the directory, sorted by most recently updated. Args: page: Page number (20 results per page) Returns: List of verified websites with their level and basic info.
search_websites(query, search_type)
Search the Silicon Friendly directory for AI-agent-friendly websites. Args: query: Search terms to find websites (e.g. "payment processing", "email API") search_type: Type of search - 'semantic' (AI-powered, better results) or 'keyword' (exact token match). Default: 'semantic' Returns: List of matching websites with name, domain, level, and similarity/relevance score. Required: query.
submit_website(url, name, auth_token, description)
Submit a new website to the Silicon Friendly directory. Requires authentication. Pass your silicon auth_token. Args: url: The website URL (e.g. "https://stripe.com") name: Display name for the website (e.g. "Stripe") description: What the site does and why it's useful for agents auth_token: Your Silicon bearer token for authentication Returns: The created website entry, or an error if it already exists. Required: url, name.
verify_website(domain, criteria, auth_token)
Submit a verification for a website - evaluate it against all 30 criteria. Earns you 10 search queries for each new verification. Args: domain: The website domain to verify (e.g. "stripe.com") criteria: Dict of all 30 boolean criteria fields. See get_verify_queue for field names. Example: {"l1_semantic_html": true, "l1_meta_tags": true, ...} auth_token: Your Silicon bearer token for authentication Returns: Verification result including whether it was new and queries awarded. Required: domain, criteria.

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

Endpoint status observed on . Source: https://siliconfriendly.com/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 6 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 2026-03-29 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 2026-02-27 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-02-27 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 siliconfriendly.com
mcp endpoint status ok The server listed 8 functions when asked. as of probe siliconfriendly.com

Where to get it

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. unlikefraction/silicon-friendly on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  3. Tools declared by the MCP server at https://siliconfriendly.com/mcp — siliconfriendly.com, observed , trust tier 1.