Hachimi Image Search

Created By
Marisalice11410 months ago
hachimiagent中使用的图片搜索mcp
Overview

Hachimi Image Search is an API that allows intelligent agents to quickly access Pexels image search functionality using the MCP protocol.

To use Hachimi Image Search, clone the project from GitHub, build it using Maven, and configure it in your MCP client with the appropriate JSON settings.

  • Flexible image search capabilities based on keywords.
  • Supports multiple search modes: standard input/output and Server-Sent Events (SSE).
  • Allows searching for a single image or multiple images at once.
  1. Integrating image search functionality into intelligent assistants.
  2. Enhancing applications with visual content from Pexels.
  3. Providing quick image retrieval for various queries in real-time applications.
  • What is required to run Hachimi Image Search?

You need Java 21 or higher and a Pexels API key.

  • How do I configure the server?

You can configure the server using JSON settings for either standard input/output or SSE modes.

  • Is there a limit on the number of images I can search for?

Yes, you can specify the number of images to retrieve, ranging from 1 to 20.

Server Config

{
  "mcpServers": {
    "hachimi-image-search-mcp-server": {
      "command": "java",
      "args": [
        "-Dspring.profiles.active=local,stdio",
        "-jar",
        "path/to/hachimi-image-search-mcp-server-0.0.1-SNAPSHOT.jar"
      ],
      "env": {
        "PEXELS_API_KEY": "YOUR_PEXELS_API_KEY"
      }
    }
  }
}
Project Info
Created At
10 months ago
Updated At
10 months ago
Author Name
Marisalice114
Star
-
Language
-
License
-

Recommend Servers

View All
Trainzilla Mcp

8 hours ago
Shippo
@Shippo

2 days ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

a day ago