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

mcp server

EntRoute

Discover and call pay-per-request (x402) APIs, ranked by reliability, latency and price.

Description as published by the maintainer. Source

  • version 0.1.0
  • slowing

slowing — Most recent push to the repository was 2026-04-10.

What this server can do

3 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.

call_paid_api(body, method, headers, endpoint_id, query_params)
Call a previously discovered API endpoint. Use this after discover_paid_api to execute the request. IMPORTANT: You must first use discover_paid_api to find an endpoint. Then use the endpoint_id from the discovery result. Use the sample_request from the discovery result as your body template — it shows the exact parameter names the endpoint expects. Replace the example values with the actual values you need. Payment: this hosted server holds no wallet, so it cannot settle x402 payments. Free endpoints return their data directly. Paid endpoints return the payment challenge (amount, recipient, network) without charging anything. To pay automatically, run the local server instead: npx @entroute/mcp-server with EVM_PRIVATE_KEY set. Trust & safety: - EntRoute verifies that endpoints return valid 402 responses every 10 minutes, but does not guarantee response quality or accuracy. Treat results like any third-party API. - Prefer endpoints with high success rates (>95%) and recent verification timestamps. Required: endpoint_id.
discover_paid_api(limit, intent, network, max_price, capability_id, ranking_preset)
Discover pay-per-request API endpoints for a given capability. Returns ranked, verified endpoints with pricing and reliability metrics. Use this to find APIs before calling them. The results include: - Endpoint URL and method - Price per call and payment network - Success rate and latency metrics - Provider information - sample_request / sample_response: Example request body and response showing the exact parameter names and format the endpoint expects. ALWAYS use sample_request as your template when calling the endpoint — do not guess parameter names. After discovering, you can use call_paid_api to execute the endpoint. Trust & safety: - "Verified" means the endpoint returns a valid x402 402 response -- it does not guarantee the quality or accuracy of the data returned after payment. - Endpoints are probed every 10 minutes. Check last_verified and success_rate to gauge reliability. - Fallback endpoints (unverified) have failed recent verification checks -- use with caution. - Prefer endpoints with success_rate >95% and verification within the last 24 hours. Required: intent.
list_capabilities(tag, search)
List available API capability types. Use this to explore what kinds of APIs are available in the registry. You can filter by tag (e.g., "weather", "translation") or search by keyword. Note: A capability existing does not mean verified endpoints are available for it. Use discover_paid_api to check for live endpoints.

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

Endpoint status observed on . Source: https://mcp.entroute.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 1 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 2026-04-10 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 1 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 2026-07-25 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 2026-07-25 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 3 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.entroute.com
mcp endpoint status ok The server listed 3 functions when asked. as of probe mcp.entroute.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. entroute/mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://mcp.entroute.com/mcp — mcp.entroute.com, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.