"Sublime Text" matching MCP servers:

MCP server for structured daily work diary management, enabling entries, standup summaries, weekly reports, full-text search, and automatic git commits.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes.

Enables printing labels with QR codes and text to a Brother QL-810W printer via P-touch Editor Lite, useful for creating physical labels for GitHub issues and pull requests.

This MCP server provides unified diffs of two text inputs using Python's standard library difflib.

AI-powered git diff analysis with human-readable explanations, risk flags, and review checklists. Enables to explain any diff text or currently staged git changes through an MCP server.

Audits npm, Yarn, and pnpm lockfiles from a local project directory or a remote Git repository, exposing a package_audit tool that returns vulnerability results with configurable severity thresholds, custom registry, dev-dependency skipping, retries, and JSON or text output in Chinese or English.

Enables write-capable GitHub operations on allowed repositories, including file management, branches, commits, and pull requests.

A personal knowledge management MCP server that enables capturing daily notes, meeting summaries, and ideas through Claude, with full-text search, git sync, and git activity tracking across projects.

Enables AI agents to work with developer tools such as git, npm, Docker, and test runners through structured, schema-validated JSON outputs. Reduces token usage and eliminates fragile terminal text parsing for reliable cross-platform workflows.

Provides MCP servers that wrap common developer tools (git, npm, docker, etc.) returning structured JSON output, enabling AI agents to reliably interact with these tools without parsing fragile terminal text.

Enables a secure append-only write service for mobile ChatGPT captures, storing text, voice transcriptions, and attachments as new files in a private GitHub KnowledgeHub repository without overwriting or deleting existing content.

Provides local, read-only MCP tools that expose a specified workspace's directory listing, file contents, text search, git status, and git diff to AI clients.

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Enables MCP clients to read and write GitHub text files with verifiable commit-SHA-based reads, chunked UTF-8 access, and atomic multi-file commits through a self-hosted Cloudflare Worker.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

Enables AI agents to invoke common developer tools such as git, npm, Docker, and test runners and receive clean, schema-validated JSON instead of fragile terminal text, reducing token usage and parsing errors.

A typed, policy-controlled OS capability layer for AI agents via MCP, exposing safe filesystem, git, and text-processing tools governed by a strict policy engine.

Connects an LLM to a GitHub repository's issues, allowing it to list, fetch, and search issues freely while gating new issues, comments, and closures behind a two-step, single-use confirmation token that cannot be bypassed. It provides least-privilege, token-authenticated access to the GitHub REST API through a small typed tool surface.

Enables MCP clients to sign in, list workspaces, and inspect workspace-scoped review findings and hosted runs. It can also prepare and, after explicit user confirmation, start or rerun an existing hosted pull-request review without exposing raw diffs, full reports, artifacts, credentials, or prompt text.

Connects AI assistants to GitLab projects, enabling natural language queries for merge requests, code reviews, test reports, pipeline status, and discussions with support for commenting and resolving threads.