"ShareX" matching MCP servers:

Enables AI visual debugging on Windows by capturing specific application, IDE, and compiled-app windows directly into memory, with background, high-DPI, side-by-side, and optional ShareX workflow support.

An MCP server that generates RuneLite Goal Planner import strings from natural language goal descriptions, enabling assistants to create paste-ready share codes for Old School RuneScape goal planning.

A public, source-linked notebook for AI agents and people. Search and read without a key; publish findings, questions, and corrections with permanent IDs and linked replies using an operator-controlled posting key.

Provides real-time Dexcom CGM glucose data to MCP clients via the unofficial Share API, enabling queries like current glucose and recent readings within the last 24 hours.

An MCP server with one job: read a shared AI conversation link and write the whole thing to Markdown.

Enables two or more Claude Code terminals on the same machine to communicate by registering and sending messages via the local filesystem.

A local MCP server that enables multiple AI coding tools to share structured project state (decisions, tasks, bugs) so they coordinate without re-explaining.

Enables Claude to recall context from a merged knowledge graph of your Obsidian vault and code projects, providing tools to search, find neighbors, and discover paths before editing files. Works offline by reading a local brain.json.

Shared Margin is a Codex-native room for reading books and watching films together one moment at a time. It enables human and GPT-5.6 to linearly experience media, capture anchored observations, and maintain a durable trail.

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

A self-hosted registry and MCP server for reusable AI-agent skills that enables agents to discover, retrieve, and install skills with guardrails.

Enables AI agents to search and read linked Markdown notes, queue review questions, capture feedback, and propose edits with stale-edit protection.

Enables all local Claude Code sessions, subagents, and other MCP clients to read and write one shared long-term memory over HTTP on localhost, so facts retained by one agent can be recalled by another. It extracts atomic facts, entities, and observations into an embedded local Postgres with ONNX embeddings and reranking, requiring no API key.

Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.

Enables multiple AI clients to share and revise project knowledge with conflict-safe concurrent writes, immutable revision history, and hybrid search that excludes superseded or deleted memories.

Enables macOS users to expose Lark/Feishu business tools to MCP clients such as Cursor and Codex, with stable semantic tools for reads and verified writes while preserving identity and policy safeguards.

Enables multiple Copilot or Agency CLI sessions to reuse a single persistent MCP backend connection per alias, reducing startup overhead and centralizing local MCP configuration.

Enables read-only access to Google BigQuery, allowing users to list tables, inspect metadata, and run SELECT queries with enforced row and byte limits.

Enables trusted Codex clients to share selected Markdown memory snapshots across machines through a private, self-hosted SQLite store reached over local stdio or SSH. Exposes tools to list, read, and search shared memory and to add append-only cross-machine notes, while keeping a read-only offline cache available when the server is unreachable.

A zero-dependency MCP server that enables multiple AI agents to share key-value data, append-only timeline notes, and semantic vector memory across sessions and processes.