# ChromaDB Local MCP Server

> Use this tool when you need to enable AI assistants with persistent memory and advanced file analysis capabilities. It solves problems related to file organization, search, and duplication detection by ingesting and processing over 70 file types, extracting EXIF metadata, and performing vector searches. Ideal for use cases requiring local data storage and batch processing, with inputs including various file types and outputs featuring searchable vector databases and metadata extracts.

Canonical page: https://skillsregistry.net/skills/vespo92-chromadblocal-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vespo92-chromadblocal-mcp-server

## Description

Provides AI assistants with persistent memory through local ChromaDB vector storage, featuring automated file ingestion and batch processing for over 70 file types. It enables advanced vector search, EXIF metadata extraction for photos, and duplicate file detection across local directories.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m23889hfyf)
- **Repository:** <https://github.com/vespo92/chromadblocal-mcp-server>

## 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": "vespo92-chromadblocal-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vespo92-chromadblocal-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vespo92-chromadblocal-mcp-server/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