# Cross-Project MCP Server

> Use this tool when you need to integrate and manage multiple project repositories, enabling AI agents to search and reference code implementation details across different projects. It solves problems of codebase fragmentation and task delegation, allowing agents to request and track work between separate codebases. The Cross-Project MCP Server takes in project repository inputs and outputs unified code references and task assignments, ideal for use in multi-project development environments.

Canonical page: https://skillsregistry.net/skills/sweetsrepo-cross-project-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sweetsrepo-cross-project-mcp

## Description

Enables AI agents to explore, search, and reference code implementation details across different project repositories. It also supports a task delegation protocol for agents to request and track work between separate codebases.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/okr7ii98oi)
- **Repository:** <https://github.com/SweetsRepo/cross-project-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": "sweetsrepo-cross-project-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sweetsrepo-cross-project-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sweetsrepo-cross-project-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