# Contextful

> Use this tool when you need to efficiently manage context for AI coding agents, solving problems of token inefficiency and knowledge persistence across sessions. Contextful indexes projects using SQLite with FTS5 lexical search and graph-based expansion, providing ranked context packs as output. It is ideal for use cases where agents require quick access to relevant code context, supporting capabilities such as symbol indexing and evidence-based learning.

Canonical page: https://skillsregistry.net/skills/contextful  
JSON: https://api.skillsregistry.net/v1/skills/contextful

## Description

Contextful is a context management system for AI coding agents that indexes projects using SQLite with FTS5 lexical search, symbol indexing, and graph-based expansion. Instead of repeatedly reading files, agents retrieve ranked, cited context packs, achieving significant token efficiency. A memory ledger lets agents store session learnings backed by evidence references from actual code files, persisting insights across sessions.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/contextful)
- **Repository:** <https://github.com/inferensys/contextful>

## 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": "contextful"
    }
  }
}
```

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