# ravendb-mcp

> Use this tool when you need to integrate AI assistants with RavenDB databases, enabling standardized interactions for document operations, collection exploration, and RQL queries. It solves problems of data accessibility and querying for AI agents, providing a unified interface for inputs like RQL queries and outputs like document data. Ideal for use cases requiring seamless communication between AI systems and RavenDB databases.

Canonical page: https://skillsregistry.net/skills/johnib-ravendb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/johnib-ravendb-mcp

## Description

A Model Context Protocol server that enables AI assistants to interact with RavenDB databases through a standardized interface, supporting document operations, collection exploration, and RQL queries.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ymkjpp0dmp)
- **Repository:** <https://github.com/johnib/ravendb-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": "johnib-ravendb-mcp"
    }
  }
}
```

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