gate402-mcp
Directory recordx402 pay-per-call agent APIs: LLM inference, Base trading data, SEC filings & scraping
Showing 97–108 of 379 attributed MCPNav entries in the 2026-10-09 snapshot. This is a licensed subset of the category’s 671 deduplicated directory records.
Source coverage: MCP.so 324 · MCPNav 379. Catalog counts can overlap; the listing cards below contain only MCPNav records.
x402 pay-per-call agent APIs: LLM inference, Base trading data, SEC filings & scraping
Retrieve and process news from GeekNews.
Model Context Protocol server for Google Gemini AI with chat, research, and grounding
Gemini 3 MCP server with 30+ tools: images, video, research, TTS, code exec & CLI
io.github.Guitarmaniac24/getabrain
MCP provider published as GetABrain. Listed version: 0.2.1.
Directory description: Real human judgment as agent tools — ask a question, get a structured human answer back.
io.github.giskard09/search
MCP provider published as Giskard Search. Listed version: 0.1.1.
Directory description: Pay-per-use web search for AI agents. Lightning invoice, Ed25519 signature, karma discounts.
Search, rank, and analyze GitHub developers for tech recruiting via GitHunt's API.
io.github.shariqriazz/google-ai-search-mcp
MCP provider published as Google AI Search MCP. Listed version: 1.1.1.
Directory description: Google AI search and documentation tools for MCP clients using Vertex AI or the Gemini API.
A Model Context Protocol (MCP) server providing access to Google Programmable Search Engine (PSE) and Custom Search Engine (CSE).
io.github.cameronrye/gopher-mcp
MCP provider published as Gopher & Gemini MCP Server. Listed version: 0.10.2.
Directory description: Browse Gopher and Gemini resources safely: SSRF protection, TLS/TOFU, structured JSON output.
Search GOV.UK content, retrieve full government pages, look up organisations and resolve UK postcodes to local authorities. Read-only.
io.github.rozetyp/grounder
MCP provider published as Grounder. Listed version: 0.4.1.
Directory description: Web grounding for local & cloud LLMs: search, fetch, token-capped evidence packs, and research.
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