# contextpulse-mcp

> Use this tool when you need to monitor and control the context budget of AI coding agents in real-time, solving problems of excessive token usage and infinite loops. It provides inputs of token counts and loop detection, and outputs alerts and tracking data stored in PostgreSQL. Ideal for use cases where efficient AI resource allocation and prevention of runtime errors are crucial.

Canonical page: https://skillsregistry.net/skills/diya73-contextpulse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/diya73-contextpulse-mcp

## Description

Real-time context budget tracking for AI coding agents with token counting, loop detection, and alerts, backed by PostgreSQL.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ffnozykbkb)
- **Repository:** <https://github.com/DIYA73/contextpulse-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": "diya73-contextpulse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/diya73-contextpulse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/diya73-contextpulse-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