"Reading Local Project Files to Assist Development" matching MCP servers:

Enables reading books from Project Gutenberg via MCP, with tools to search books, fetch metadata and full text, and retrieve passages by fixed-size keys.

Local-first Microsoft Outlook MCP server: a single Go binary that manages calendar events and mail through the Microsoft Graph API over stdio, with tokens stored in the OS keychain and no Entra ID app registration required. Exposes four aggregate tools (calendar, mail, account, system) dispatched by an operation verb, with multi-account support and read-only and mail-gating modes.

Connects AI tools to GitHub and local git repositories, enabling natural language management of issues, PRs, code analysis, and workflows.

Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates

Baryon connects MCP-compatible AI assistants to Proton Mail through a local bridge, enabling email search, reading, attachment handling, and draft creation while enforcing deliberate permission limits. It runs locally and cannot send, delete, or modify mail.

A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.

Local ledger for development ports: leases a block of ports per project slot (one per working copy), renders env files, and resolves service names to URLs. No daemon, no listener.

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

Enables reading and writing MS Excel files, including cell values, formulas, sheet creation, copying, formatting, and on Windows, live editing and screen captures.

Zero-dependency local proxy that wraps any MCP server to redact secrets, strip hidden-Unicode prompt injection, and block writes to protected paths like ~/.ssh and .env.

Connects coding agents to local development services managed by Kranz. Agents can inspect service health, ports, logs, and run history, and perform lifecycle actions through the same live runtime as the TUI and CLI.

Enables AI agents and development tools to interact with Obsidian vaults via MCP, providing direct filesystem access for reading, writing, searching, and managing notes without requiring Obsidian to be running.

Enables reading and writing Excel files (text, formulas, and images on Windows) via MCP tools with pagination support.

Manages multiple development services with colored logs, filtering, and MCP integration for Claude Code.

Provides long-term local memory for AI coding agents via MCP, enabling persistent recall of preferences and project facts across chat sessions.

Enables reading and writing of values, formulas, and formatting in Microsoft Excel files including .xlsx and .xlsm formats. It supports sheet management, table creation, and provides Windows-exclusive features like live editing and screen capture.

Enables ChatGPT on Windows to securely access codebases, Git, terminals, language servers, debuggers, SQLite, local HTTP services, adaptive project memory, engineering skills, checkpoints, audit logs, and sandboxed command execution through MCP tools.