# Contexta

> Use this tool when you need to enhance your AI assistant's memory and contextual understanding, solving problems of information retrieval and entity relationship mapping. Contexta provides a unified search interface that takes in keyword, vector, and graph queries and returns relevant context from its knowledge graph. It is ideal for use cases where AI agents require persistent memory and accurate context identification to provide informed responses.

Canonical page: https://skillsregistry.net/skills/ai-jcce-mcp-contexta  
JSON: https://api.skillsregistry.net/v1/skills/ai-jcce-mcp-contexta

## Description

Contexta gives AI assistants a persistent, typed memory layer backed by a knowledge graph. One tool call searches across keyword, vector, and graph indexes simultaneously — so your agent finds the right context whether it remembers a phrase, a concept, or a relationship between entities.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ai-jcce/mcp-contexta)

## 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": "ai-jcce-mcp-contexta"
    }
  }
}
```

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