dpr-mcp

dpr-mcp

Provides a Model Context Protocol interface for secure, multi-agent collaboration on Git repositories, offering isolated workspaces, change requests, reviews, and approval workflows with Git as the source of truth.

Category
访问服务器

README

DPR Git-Backed MCP Collaboration Server

A standalone Model Context Protocol server that provides a safe, multi-agent, human-in-the-loop collaboration interface over a local Git repository.

Git remains the source of truth for files, commits, branches, diffs, and merge history. This server adds the collaboration control plane above it: identity, authorization, isolated workspaces, Change Requests, reviews, approval policy, conflict workflow, rollback, and provenance.

This is Phase 1: a standalone server, independently usable by Claude Code, VS Code agents, or any other MCP-compatible client. It has no dependency on the DPR multi-agent reasoning project.

Quick start

python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

# Optional: configure who this server instance acts as. Defaults to
# human:$USER driving agent:claude-code.
export DPR_PRINCIPAL_ID=charan
export DPR_ACTOR_ID=claude-code

# Optional: where projects/workspaces/the collaboration DB live.
export DPR_REPOSITORY_ROOT=./data/projects
export DPR_WORKSPACE_ROOT=./data/workspaces
export DPR_DATABASE_URL=sqlite:///./data/dpr_mcp.db

dpr-mcp

The server speaks MCP over stdio. Point any MCP-compatible client (Claude Code, an MCP Inspector, a custom client) at the dpr-mcp command.

Example flow

create_project(project_id="demo", name="Demo Project")
create_workspace(project_id="demo")            -> workspace_id
create_file(workspace_id, "notes.md", "# Hi")
create_change(workspace_id, rationale="Add notes")   -> change_id
review_change(change_id, decision="APPROVED")  # as a human reviewer
merge_change(change_id)
get_provenance(change_id)

See examples/ for runnable scripts, including a multi-agent conflict scenario (examples/multi_agent_demo.py, examples/conflict_demo.py).

Architecture

See docs/architecture.md for the full picture. In short:

MCP Client
    |
    v
DPR MCP Server  (identity, authz, workspaces, changes, reviews, policy,
    |             conflicts, provenance)
    v
Git Repository  (commits, branches, diffs, merge)

Git is never reinvented: branches, commits, diffs, and merges are all delegated to the real git CLI via a single GitRepository abstraction (src/dpr_mcp/git/repository.py). Collaboration state Git doesn't model (change requests, reviews, approvals, workspaces, policies) lives in a small SQLite database (src/dpr_mcp/persistence/).

Security

File access is sandboxed to the configured project root: path traversal, absolute paths, and symlink escapes are rejected (src/dpr_mcp/files/security.py). Sensitive filenames (.env, .pem, .key, *credentials*) are blocked by default. See docs/security.md and tests/security/ for the full threat model and the tests that enforce it.

Development

pytest                 # unit + integration + security + mcp tests
ruff check src tests
mypy src

Phase 2

Phase 2 (not implemented here) will make the existing DPR multi-agent orchestrator (https://github.com/Skanda-P-R/Multi-Agent-Reasoning) an MCP client of this server, so DPR's internal agents can inspect, create, modify, review, and collaboratively integrate project artifacts through exactly this interface, with Git still holding the version-control ground truth and DPR handling reasoning/orchestration.

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