# io.github.heidiEC/context-pod

> Use this tool when you need to maintain persistent context for AI agents, enabling them to retain learned information with associated certainty scores. It solves problems of contextual understanding and knowledge retention in AI systems, particularly in applications requiring continuous learning and adaptation. The tool takes in learned vectors and outputs context with certainty scores, making it ideal for use cases involving dialogue management, decision-making, and personalized recommendations.

Canonical page: https://skillsregistry.net/skills/io-github-heidiec-context-pod  
JSON: https://api.skillsregistry.net/v1/skills/io-github-heidiec-context-pod

## Description

Persistent context for AI agents built fromlearned vectors with certainty scores.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** scanned
- **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/io.github.heidiEC%2Fcontext-pod)
- **Repository:** <https://github.com/Nervous-Machine/context-pod>

## Use it

MCP endpoint published by the skill: `https://context.nervousmachine.com/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": "io-github-heidiec-context-pod"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-heidiec-context-pod` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-heidiec-context-pod/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