# MCP-Claude

> Use this tool when you need to standardize connections between large language models (LLMs) and various data sources or tools, eliminating vendor lock-in and simplifying AI integration. MCP-Claude provides a standardized interface for inputs from data sources and outputs to LLMs, enabling seamless interactions and data exchange. Ideal for use cases requiring flexible and vendor-agnostic AI integration, such as developing custom AI applications or integrating LLMs with existing systems.

Canonical page: https://skillsregistry.net/skills/virajsamarasinghe-mcp-claude  
JSON: https://api.skillsregistry.net/v1/skills/virajsamarasinghe-mcp-claude

## Description

TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sst37acqqv)
- **Repository:** <https://github.com/virajsamarasinghe/MCP-Claude>

## 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": "virajsamarasinghe-mcp-claude"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/virajsamarasinghe-mcp-claude` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/virajsamarasinghe-mcp-claude/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