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Jitapi MCP Server

@nk3750

Repository

Basic information

Category

Other

Transports

stdio

Author

nk3750

Submitted by

Neelabh Kumar

About Jitapi MCP Server

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

#mcp#api#openapi#claude#python#semantic-search#workflow#orchestration

Jitapi MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Jitapi MCP Server tools

Tool list not available yet

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

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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