# falconfeeds-mcp

> falconfeeds-mcp — technisanct-falconfeeds-mcp. Use this tool when you need to manage model context protocols for FalconFeeds.io, solving integration and synchronization issues for AI models. It provides a server for handling model context data, accepting git inputs and producing standardized MCP outputs. Ideal for use cases requiring seamless model deployment and version control in AI development contexts.

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

## Description

Official MCP (Model Context Protocol) server for FalconFeeds.io

## 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:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Technisanct/falconfeeds-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": "technisanct-falconfeeds-mcp"
    }
  }
}
```

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