# MCP (Model Context Protocol) Server

> Use this tool when you need to interact with language models, specifically to enable communication between clients and Mistral models running on Ollama. The MCP Server provides a protocol for exchanging context and requests, allowing for seamless integration and interaction with language models. It accepts input requests from clients and outputs responses from the models, facilitating use cases such as natural language processing and machine learning applications.

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

## Description

A TypeScript implementation of a Model Context Protocol server and client that enables interaction with language models (specifically Mistral running on Ollama).

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wf9tqtya2r)
- **Repository:** <https://github.com/HarishGangula/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": "harishgangula-mcp"
    }
  }
}
```

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