"A server for finding Space projects on Hugging Face" matching MCP servers:

Enables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.

Provides structured OCR with verified bounding boxes using the space-ocr API. Allows extraction of structured fields from document images and listing of built-in templates.

Enables checking and validating disk space usage via a single tool, reporting total, used, and available space with optional free space thresholds.

Enables requirement-level question answering over your own ECSS and NASA space standards documents, returning exact citations to the document, issue and requirement ID or an explicit "not covered". It offers tools for listing loaded documents, fetching requirements by ID, keyword-searching requirements and table rows, reading tables, tracing references, comparing a topic across standards, and retrieving section outlines.

Local-first, read-only MCP server for retrieving and searching authorised CCSDS and ECSS standards, enabling citation-rich passage-level search and document access.

Enables AI agents to search and retrieve space and astronomical data, including images, videos, audio, rocket launches, asteroid approaches, and historical firsts, with results displayed directly in chat.

Enables AI agents to read GitHub Projects v2 boards over stdio, letting them list projects and their items across repositories so cross-repository work can be coordinated without scanning every repository. The read-only MVP authenticates via a GitHub App installation token minted at runtime and exposes list_projects, get_project, and list_project_items tools with cursor-based pagination.

Lets an assistant list the available facial expressions and set the one shown in a local browser viewer, so its conversational reactions appear visually as still portraits. State is held in memory, so a browser refresh restores the current expression.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

Enables AI agents to resolve stored API tokens and credentials from a locally encrypted vault through an inject_secret tool, writing them to env-file handles the agent consumes outside the conversation so secret values never appear in chat transcripts. Provides listing and metadata access while requiring a human unlock gate before any decryption.

Local MCP server for on-premise face recognition, liveness detection, and identity verification, enabling AI agents to use 3DiVi Face SDK tools without cloud dependency or SDK integration code.

An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables building and flying rockets in Kerbal Space Program 1.x via MCP, providing editor, flight control, and real-time telemetry tools without requiring visual input.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables AI assistants to check disk usage on the host machine, providing real-time reports on partition health, warnings, and critical alerts across Windows, macOS, and Linux.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Archives live web pages for offline replay with full interactivity, enabling AI agents to analyze page structure and behavior.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

MCP server for Apple Notes enabling read, search, write, and sync of notes with high fidelity, including styles, attachments, and bidirectional Markdown sync.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Zoho Projects (beta): https://www.cdata.com/download/download.aspx?sku=PZZK-V&type=beta

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables Claude Code, Cursor, and Codex users to orchestrate plan/build/review workflows across host or CLI models with a spec gate, tool vetting, hard per-run and per-day cost/token limits, safe defaults, and clear logs.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.