# feature-tracker-mcp

> feature-tracker-mcp — spe-investigator-feature-tracker-mcp. Use this tool when you need to manage complex AI coding projects by tracking features, decisions, and approvals across multiple sessions. It solves problems of version control, collaboration, and auditing by providing a centralized Postgres database with atomic IDs and commit-stamped history. The feature-tracker-mcp tool takes project data as input and outputs a transparent, append-only record of project developments.

Canonical page: https://skillsregistry.net/skills/spe-investigator-feature-tracker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/spe-investigator-feature-tracker-mcp

## Description

Enables coordinating multiple AI coding sessions by tracking features, decisions, and approval gates in a per-project Postgres database, with atomic IDs and commit-stamped append-only history.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ak12hmbfl9)
- **Repository:** <https://github.com/spe-investigator/feature-tracker-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": "spe-investigator-feature-tracker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spe-investigator-feature-tracker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spe-investigator-feature-tracker-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