# Contexta

> Use this tool when you need to enhance AI assistants with persistent memory and knowledge graph capabilities, solving problems of information retrieval and contextual understanding through keyword, vector, and graph search. It takes in diverse data inputs and outputs relevant information, enabling informed decision-making and accurate responses. Ideal for use cases requiring advanced search and knowledge management in AI-powered applications.

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

## Description

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/cc.contexta%2Fcontexta-mcp)
- **Repository:** <https://github.com/teleengco/contexta-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.contexta.cc/mcp`

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": "cc-contexta-contexta-mcp"
    }
  }
}
```

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