# Kimi Project Intelligence MCP

> Kimi Project Intelligence MCP — skyones-0-kimi-mcp. Use this tool when you need to enhance code assistance with intelligent project indexing and retrieval, solving problems such as inefficient code search and limited project insights. It takes in project code and dependencies as input, providing indexed project data, code summaries, and dynamic skill routing as output through REST API and web UI interfaces. Ideal for use in development environments where efficient code management and assistance are crucial.

Canonical page: https://skillsregistry.net/skills/skyones-0-kimi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/skyones-0-kimi-mcp

## Description

A Model Context Protocol server for Kimi-CLI that provides semantic project indexing, intelligent code retrieval, and dynamic skill routing to enhance code assistance. It supports incremental indexing, file watching, dependency graphs, git integration, code summarization, REST API, and web UI for managing project indexes.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e7wvk3rlbg)
- **Repository:** <https://github.com/skyones-0/kimi-mcp>

## 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": "skyones-0-kimi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skyones-0-kimi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skyones-0-kimi-mcp/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