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Jitapi MCP Server

@nk3750

基本情報

カテゴリ

その他

トランスポート

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作者

nk3750

投稿者

Neelabh Kumar

Jitapi MCP Server について

Point Claude at any API. JitAPI figures out which endpoints to call and in what order — automatically. Register any OpenAPI spec, search endpoints in plain English, and orchestrate multi-step workflows across multiple APIs. No API keys required — works out of the box with local e

Jitapi MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "jitapi": {
      "command": "uvx",
      "args": [
        "jitapi"
      ]
    }
  }
}

Jitapi MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Jitapi?

Jitapi is an MCP server that lets Claude interact with any API from its OpenAPI spec, using semantic search and a dependency graph to surface only the needed endpoints.

How to use Jitapi?

Install via pip (pip install jitapi) and add the server configuration to your MCP client with command: "uvx" and args: ["jitapi"]. Then register any OpenAPI spec URL, search endpoints in plain English, and Claude chains the right API calls automatically.

Key features of Jitapi

  • Zero-config: no API keys required for local embeddings
  • Multi-API orchestration: register and query across multiple APIs
  • Automatic dependency graph resolution for endpoint chains
  • Semantic search in natural language instead of exact paths
  • Pluggable embeddings: local, Voyage AI, OpenAI, or Cohere

Use cases of Jitapi

  • Querying any REST API (e.g., Stripe, GitHub) via Claude without loading the full spec
  • Building cross-API workflows that automatically resolve endpoint dependencies
  • Rapid prototyping of integrations without writing a custom MCP server per API

よくある質問

1

How does Jitapi handle large API specs?

It uses semantic search and a dependency graph to surface only what’s needed, avoiding context token waste and hallucinations.

2

What runtime dependencies does Jitapi require?

Python with `pip`; it runs via `uvx`. Local embeddings work out of the box without external API keys.

3

Can I use my own embedding model?

Yes. Jitapi supports pluggable embeddings: local (default), Voyage AI, OpenAI, or Cohere.

4

How are endpoint dependencies resolved?

Jitapi builds a dependency graph that knows which endpoints must be called first (e.g., GET /users before POST /orders) and resolves this automatically.

5

Does Jitapi support multiple APIs simultaneously?

Yes. You can register multiple OpenAPI specs and ask questions that span them.

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