local-dev-tools
A read-only MCP server providing SQLite querying, port checking, and git diff summary tools for local development.
README
local-dev-tools
A small, production-quality MCP (Model Context Protocol) server built on FastMCP. It gives any MCP client — Claude Code, Claude Desktop, or your own — three read-only introspection tools for everyday local development.
sqlite_query(db_path="./app.db", query="SELECT id, email FROM users LIMIT 10")
check_port(port=5432) # is local Postgres up?
git_diff_summary(repo_path=".") # what have I touched?
Tools
| Tool | Signature | Returns |
|---|---|---|
sqlite_query |
(db_path: str, query: str) -> str |
Aligned text table, capped at 50 rows with a truncation note |
check_port |
(port: int, host: str = "127.0.0.1") -> dict |
{host, port, open, message} |
git_diff_summary |
(repo_path: str = ".") -> dict |
{repo_path, modified, added, deleted, renamed, untracked, total_changes} or {error} |
Design
- Every tool is total. Tools validate inputs and catch all internal
exceptions, returning a structured error value (
"Error: ..."or{"error": ...}) instead of raising. A bad argument produces a readable message rather than killing the server process the client depends on. - Read-only by construction.
sqlite_queryuses three independent layers: path and file-header validation (the file must begin with the SQLite magic bytes), query screening (statement allowlist + keyword blocklist applied after comments and quoted literals are blanked out), and afile:...?mode=roconnection — so SQLite itself refuses writes even if the screening were bypassed. - Bounded output and time. Results cap at 50 rows and 200-character cells;
port probes time out after 1s,
gitsubprocesses after 15s. No tool can flood the context or hang the server. - Discoverable. Numpydoc docstrings put purpose, return shape, and failure conditions into the tool description and per-parameter JSON Schema that the model sees at discovery time.
Quick Start
python3 -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate.bat
pip install -r requirements.txt # or requirements-dev.txt to include pycodestyle
python server.py # start the server (stdio transport)
python test_server.py # run the test suite
Dependencies are pinned in requirements.txt
(fastmcp==3.4.5).
Register with Claude Code
claude mcp add local-dev-tools -- "$(pwd)/.venv/bin/python" "$(pwd)/server.py"
For Claude Desktop configuration, usage examples, and extension guidance, see
CLAUDE.md.
Testing
28 unittest tests covering each tool's happy path, input validation, and
failure modes — plus end-to-end checks that the tools are discoverable and
callable over the real MCP protocol via an in-memory FastMCP client. All
fixtures (SQLite databases, temporary Git repositories, listening sockets) are
created in temp directories and cleaned up; nothing is written outside
tempfile.gettempdir().
.venv/bin/python test_server.py
# Ran 28 tests — OK
Continuous integration runs the suite, a pycodestyle check, and a stdio
startup smoke test against Python 3.10, 3.11, 3.12, and 3.13 on every push and
pull request — see .github/workflows/tests.yml.
See NIGHTLY_BUILD_REPORT.md for the full test
matrix, environment details, and known limitations.
Requirements
Python 3.10+ (developed on 3.14; CI verifies 3.10–3.13), fastmcp 3.x, and
git on PATH for git_diff_summary.
License
MIT © Emma Huang — see LICENSE.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。