Mode VC Chart: AI Coding Assistant Statistics: Use vs. Trust

66% of developers use AI coding assistants, but only 48% trust AI output they can validate, a.

What does this entry provide?

Mode VC Chart: AI Coding Assistant Statistics: Use vs. Trust is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Mode VC Chart: AI Coding Assistant Statistics: Use vs. Trust to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 100/100
Install method: streamable-http
Repo: Registry only
Repo updated: Oct 18, 2026

Install command

mcp add com.modevc/chart-ai-coding-assistant-statistics https://modevc.com/api/mcp/chart-ai-coding-assistant-statistics

Install method: streamable-http

Review the upstream source before running this command.

Source entry

Quality

100

Repo stars

Repo updated

Oct 18, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-18T01:41:49.316667Z",
      "publishedAt": "2026-10-18T01:41:49.316667Z",
      "statusChangedAt": "2026-10-18T01:41:49.316667Z"
    }
  },
  "server": {
    "name": "com.modevc/chart-ai-coding-assistant-statistics",
    "title": "Mode VC Chart: AI Coding Assistant Statistics: Use vs. Trust",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://modevc.com/api/mcp/chart-ai-coding-assistant-statistics",
        "type": "streamable-http"
      }
    ],
    "version": "2.0.2",
    "websiteUrl": "https://modevc.com/charts/ai-coding-assistant-statistics/",
    "description": "66% of developers use AI coding assistants, but only 48% trust AI output they can validate, a."
  }
}

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