# filevine-mcp

> filevine-mcp — advocate-cloud-solutions-filevine-mcp. Use this tool when you need to streamline legal project management and lead intake by querying, updating, and creating projects and leads directly from a natural language interface. It solves problems of manual data entry and integration by exposing Filevine matter management and Lead Docket intake APIs as callable tools. The tool takes natural language inputs and returns relevant project and lead information, making it ideal for legal teams seeking to automate workflows and enhance productivity.

Canonical page: https://skillsregistry.net/skills/advocate-cloud-solutions-filevine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/advocate-cloud-solutions-filevine-mcp

## Description

An MCP server that exposes Filevine matter management and Lead Docket intake APIs as natural-language-callable tools, enabling legal teams to query, update, and create projects and leads directly from Claude.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xrl09y6erw)
- **Repository:** <https://github.com/Advocate-Cloud-Solutions/filevine-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": "advocate-cloud-solutions-filevine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/advocate-cloud-solutions-filevine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/advocate-cloud-solutions-filevine-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