# See Click Fix MCP Server

> Use this tool when you need to interact with your Civic Plus - See Click Fix data via a large language model (LLM) to access and manage civic information. It solves problems related to data integration and civic engagement by providing a programmable interface to your See Click Fix data. Ideal for use cases requiring automated data analysis or reporting, with inputs via LLM queries and outputs in a machine-readable format.

Canonical page: https://skillsregistry.net/skills/brandonbosco-sigao-scf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/brandonbosco-sigao-scf-mcp

## Description

Provides access to Civic Plus - See Click Fix,  allowing you to interact with your data via an LLM. 

Developed and maintained by Sigao.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/brandonbosco/sigao-scf-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": "brandonbosco-sigao-scf-mcp"
    }
  }
}
```

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