# ecourts-mcp-server

> ecourts-mcp-server — rithik-cmyk-ecourts-mcp-server. Use this tool when you need to access Indian court case information, retrieve orders, or read cause lists, and integrate AI summaries into your workflow. It connects Large Language Models (LLMs) to the EcourtsIndia Partner API, enabling efficient searching and retrieval of court data. Ideal for legal research, case tracking, and document analysis applications.

Canonical page: https://skillsregistry.net/skills/rithik-cmyk-ecourts-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rithik-cmyk-ecourts-mcp-server

## Description

Connects LLMs to the EcourtsIndia Partner API for searching Indian court cases, retrieving orders, reading cause lists, and accessing AI summaries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p9w9z95dis)
- **Repository:** <https://github.com/rithik-cmyk/ecourts-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rithik-cmyk-ecourts-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rithik-cmyk-ecourts-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rithik-cmyk-ecourts-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt