# Zvec MCP Bridge

> Use this tool when you need to efficiently search and query large codebases using natural language. The Zvec MCP Bridge indexes project source files into a local vector database, enabling semantic search and solving problems related to code discovery and navigation. It accepts codebases as input and provides relevant search results as output, ideal for use cases where developers need to quickly find specific code snippets or understand complex code relationships.

Canonical page: https://skillsregistry.net/skills/abivan-tech-zvec-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abivan-tech-zvec-mcp

## Description

Indexes project source files into a local Zvec vector database and provides semantic search through MCP tools, enabling natural-language queries over code.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o9jcsdobyq)
- **Repository:** <https://github.com/ABIvan-Tech/zvec-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": "abivan-tech-zvec-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abivan-tech-zvec-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abivan-tech-zvec-mcp/pull`

---
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