Enables an LLM client to perform reverse engineering inside IDA Pro without the GUI, opening databases headlessly in persistent worker processes and exposing tools to decompile and disassemble functions, rename symbols, retype variables and arguments, add comments, and convert numeric bases. It can also run over stdio or HTTP transports and adopt an existing GUI session when desired.

Enables AI coding agents to query a locally indexed codebase graph for symbol definitions, immediate callers and callees, and multi-hop downstream dependency impact analysis through MCP tools.

Supercharge your AI agents by versioning, tracking, and merging overlapping skills.

Enables AI agents and MCP clients to run on-demand OSINT harvests for public emails, subdomains, hostnames, IPs, and LinkedIn profiles, returning structured JSON and allowing prior results to be retrieved by harvest ID.

Enables AI agents to search and browse a local, CJK-aware full-text index over coding-agent session histories (Claude Code, ZCode, Kimi, dsh, Qoder, OpenCode) via tools for searching sessions, listing sessions, fetching original messages, listing agents and tools, and refreshing the index.

Enables AI agents to read the local, already-logged-in WeChat account's chat history: fetch recent messages per contact for reply suggestions, bulk-export all conversations into a local SQLite index for full-text and semantic search, and export media or Moments timelines as offline HTML. Everything runs locally and read-only on macOS, exposing 15 MCP tools plus a matching CLI.

Enables LLM clients to explore and query a local SQLite database through read-only, typed tools for table listing, schema inspection, ad-hoc SQL, customer lookup, and sales summaries.

Enables coding agents to run diff-scoped mutation testing on Python code, returning mutation scores and surviving mutants with actionable hints so they can improve tests.

Enables coding agents to index repositories, retrieve task-relevant code within a token budget, and record facts that are flagged stale when their anchored code changes.

Enables any MCP-compatible client to persist long-term memories for AI agents, with LLM-based fact extraction, semantic vector search, update/delete/list operations, and queue status checks across sessions.

Enables external AI agents and CLI tools to control DaVinci Resolve Free and Studio through a local file-polling Lua bridge, exposing project, timeline, media, marker, and render operations as typed MCP tools.

Enables agents and CLI users to drive their locally installed Google Chrome through a dedicated persistent profile over the DevTools Protocol, so they can navigate open HTTP/HTTPS sites, manage tabs, and inspect pages while keeping existing sign-ins and cookies.

Enables coding agents to check whether a GitHub issue is ready to hand off before starting work, predicting the files and tests the fix will touch from the live checkout and holding back under-specified issues with a single clarifying question.

Enables AI coding agents to automatically compress context at agent-judged task boundaries, write incremental structured session snapshots, and maintain per-fact long-term memory for priority restoration across sessions.

Self-hosted daemon connecting Claude Code, Codex, and other coding agents across machines via MCP + A2A: delegate tasks, ask questions, share results, and wake sessions.

Exposes tools that let an agent read a CV, search the Arbeitnow job board for Berlin AI/ML working student roles, score each vacancy against the CV, draft cover letters whose every claim cites CV facts, and queue them for human approval. The same tools can be driven from other MCP clients such as Claude Desktop, with scoring done deterministically in code and limits enforced outside the prompt.

Enables AI coding agents to manage agile boards and notes, including cards, epics, sprints, labels, progress and verification records tied to commits, human-reviewed criteria and decisions, and Area documentation.

Enables agents to download single model weight files from Hugging Face repositories or Civitai model versions directly into allowlisted ComfyUI model folders. Source identifiers, destination categories, and file extensions are validated, and existing files are never overwritten.

Enables AI agents to prepare, launch, monitor, inspect, and recover existing Nextflow workflows through MCP tools, while client-side expert skills guide pipeline-specific input selection, parameters, QC, and troubleshooting.

Enables MCP clients to manage Knowledge Agents and Jams, including creating and querying agents, uploading and inspecting documents, launching agent discussions, and retrieving responses and results.

DeepSeek Harness 终极指南：快速入门、资源推荐、精选插件与实用工具 ｜The Ultimate Guide to DeepSeek Harness: QuickStart, Resources, Plugins&Toolkit

Enables AI agents to drive remote desktops through the local RustDesk client on macOS, launching sessions, capturing the session window, and injecting keyboard and mouse input. Exposes session lifecycle, screenshot, input, and device book capabilities as MCP tools.

Build with Claude Code without your brain going numb — a plugin that quizzes you on the code it just wrote and gates the session until you pass.

Agent Dashboard: Visualization and analytics for Sessions and Quota Usage. Track, analyze, and optimize token usage across providers with heatmaps, cost tracking, token counting and quota resets..