filevine-mcp

filevine-mcp

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.

Category
访问服务器

README

filevine-mcp

An open-source MCP (Model Context Protocol) server for Filevine matter management and Lead Docket intake.

Built and maintained by Advocate Cloud Solutions — a Salesforce consultancy for law firms. This MCP exposes the Filevine + Lead Docket API surface as Claude-callable tools so legal teams can query, build, and fix matters and intake leads through natural language — running entirely on your own machine against your own Filevine org.

License: Apache 2.0 MCP Registry Status


What this is

Filevine is the leading mid-market personal injury / mass tort case management platform (~3,000 firms, $400M Series funding Sept 2025). Lead Docket is Filevine's acquired intake/CRM product — leads from web forms, chatbots, and calls, with scoring, routing, and conversion into Filevine projects.

filevine-mcp is a standalone, single-tenant MCP server. You generate your own Filevine PAT, run the server locally (or on infrastructure you control), and connect it to any MCP-compatible client — Claude Desktop, Claude Code, Cowork, or anything else that speaks MCP.

This MCP wraps both Filevine and Lead Docket under one namespace so a single install gives Claude access to the full intake-to-matter funnel.

Three workflows the MCP unlocks:

  • Pull — "Show me every Lead Docket lead from this week's PPC campaigns that hasn't been contacted yet, plus every Filevine project in pre-litigation phase older than 90 days."
  • Fix — "On project 78213, the policy-limit field is wrong — should be $250K not $25K. Update it and add a note. Also re-route the bad-faith Lead Docket lead to the senior PI partner."
  • Build — "Convert this Lead Docket lead into a new Filevine PI project, pre-fill the intake section from the lead's form data, and schedule the consultation."

Quick start

git clone https://github.com/Advocate-Cloud-Solutions/filevine-mcp.git
cd filevine-mcp
npm install
cp .env.example .env  # fill in your Filevine PAT, client_id, client_secret
npm run build

Then add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "filevine": {
      "command": "node",
      "args": ["/absolute/path/to/filevine-mcp/dist/index.js"],
      "env": {
        "FILEVINE_CLIENT_ID": "...",
        "FILEVINE_CLIENT_SECRET": "...",
        "FILEVINE_PAT": "...",
        "FILEVINE_USER_ID": "...",
        "FILEVINE_ORG_ID": "..."
      }
    }
  }
}

See AGENTS.md for the full setup walkthrough including how to generate a PAT in the Filevine Org Admin tools.

Architecture at a glance

  • PAT exchange auth for Filevine; separate API key for Lead Docket (both read from environment variables)
  • Dynamic schema introspection — Filevine's per-firm Project Type templating means every write tool needs runtime schema discovery (1hr in-memory cache, force_refresh flag)
  • Rate-limit governor — Per-endpoint token buckets (Filevine: 320/min general, 250/min billing, 5/min Reports + Vitals; Lead Docket: separate buckets per its own limits)
  • Optional audit logging — JSONL audit log per ABA Opinion 512, off by default, opt-in via AUDIT_LOG_PATH

Full architecture: see ARCHITECTURE.md. Lead Docket-specific design notes: docs/LEAD_DOCKET.md.

Tool surface

~32 tools total: 25 Filevine core + 7 Lead Docket.

Filevine core (25 tools)

Tool What it does
filevine_search_projects Query projects by phase, project type, assignee, date
filevine_describe_sections Returns full schema (sections + fields + types) for a project type
filevine_get_section / filevine_update_section Read/write static section field values
filevine_create_collection_item Add a row to a Collection section (medical providers, defendants, etc.)
filevine_create_note Add a note with @mentions and attachments
filevine_run_report Execute a saved Periscope report (heavily cached due to 5/min cap)

Lead Docket (7 tools)

Tool What it does
filevine_lead_search Query leads by status, source, owner, date range
filevine_lead_get Get a lead's full intake-form data + scoring
filevine_lead_create Create a lead (manual entry; web forms write via Lead Docket UI)
filevine_lead_update_status Move a lead through statuses (new → contacted → qualified → converted/declined)
filevine_lead_assign Reassign a lead to a different intake specialist or attorney
filevine_lead_convert_to_project Convert a qualified lead into a Filevine project; carries form data into intake section
filevine_lead_list_sources List lead sources (PPC campaigns, referrals, web forms) for routing decisions

Full inventory: docs/TOOLS.md.

Roadmap

6-phase build, ~17-25 dev-weeks for v1.

  1. Recon + sandbox (1-2 wk) — engineering seats, validate endpoints, draft type system
  2. Filevine read-only MCP (4-6 wk) — 10 read tools, PAT exchange, rate-limit governor
  3. Filevine write tools (3-4 wk) — Section writes, note/task create, collection CRUD, doc upload
  4. Filevine reports + caching (4-6 wk) — Reports tool, materialized cache, Periscope passthrough
  5. Lead Docket sub-module (2-3 wk) — 7 tools, separate auth, lead-to-project conversion bridge
  6. Hardening + CPI (3-4 wk) — Certified Partner Integration application, security review, error taxonomy, observability

Full roadmap: ROADMAP.md.

Status

Pre-alpha — namespace claimed, scaffolding in place, core implementation pending.

First Filevine + Lead Docket MCP in the registry. Filevine has not announced a first-party server.

Contributing

External contributions welcome. See CONTRIBUTING.md.

License

Apache 2.0 — see LICENSE.

Contact

Jason Adams · Advocate Cloud Solutions jason@advocatecloudsolutions.com · advocatecloudsolutions.com

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选