Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

Don't reverse engineer it twice. 17,000+ open-source tools built by reverse engineering closed apps, APIs, devices, protocols, file formats, games and AI tools. Search site + agent skill + MCP server, refreshed nightly.

AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.

WebCite MCP Server - verify AI claims against authoritative sources, bind quotes back to their source passage, and extract document figures deterministically. Works with any MCP-compatible agent or tool.

DSHBox — Run DeepSeek Harness locally on Android phones and tablets. It integrates and coordinates DSH, PRoot, WebView, Debian and Node.js, together with a terminal, a file manager，a browser and other tools, into a personal AI workbench. No root access, and no separate Termux installation.

Exposes JSON-RPC 2.0 tools that let AI agents scan Base L2 lending positions approaching liquidation, simulate flash-loan-backed debt rescue plans, and generate the calldata needed to repay Morpho Blue and Aave v3 debt while avoiding the 5% penalty. Agents and builders can also attach a referral wallet to collect an instant 0.05% USDC revenue share paid atomically in the same block.

An open source MCP and REST server for Malloy semantic models, so AI agents, applications, and BI tools query one governed model instead of raw SQL.

Enables agents to generate, refine, save, validate, and read sanitized SVG assets from text prompts through a local OpenAI-compatible model, with tools for listing and managing SVG files.

Stores what AI agents learn — thoughts, decisions, session events and repo facts — in PostgreSQL with pgvector and serves it back through versioned MCP tools with hybrid vector-plus-full-text retrieval and budgeted context packs. Enables multiple agents to share one scoped, role-isolated long-term memory, with deliberate promotion of distilled candidates into durable memories.

Enables AI agents and LLM platforms to create and manage live 3D isometric sessions, upsert agents, update progress and status, trigger speech bubbles, and remove agents through stateful MCP tools over STDIO or HTTP.

Enables agents to scan course structures, play videos at real 1x speed, track document task completion, capture quiz screenshots for vision-model reading, select and submit answers, and verify scores through MCP tools.

This MCP server lets an agent run local binary inspection on ELF, Mach-O, PE, APK, IPA, ASAR, WebAssembly, and firmware targets — pulling symbols, sections, classified strings, disassembly, and mitigation posture, and flagging dangerous imports and CWE patterns. It exposes eight stdio JSON-RPC tools (with no external API keys) that feed a multi-agent swarm for attack-surface mapping and exploit-chain synthesis.

Enables agents to discover, search, compare, and inspect tested MCP tools by problem or keyword, with certification verdicts, scorecard summaries, certified scope, and explicit not-tested details.

Enables agents to analyze OpenAPI contracts for deterministic integration risks, plan auth, sync, action, and webhook candidates, and diff contract versions for likely breaking changes through read-only tools.

A gateway MCP server that lets agents reach any upstream MCP server through one endpoint while enforcing policy rules, holding risky tool calls for human approval, containing prompt-injected sessions, and logging every call.

Enables AI agents to read messages from user-approved WhatsApp chats via a blocking long-poll tool and send signed replies to chats where the user has explicitly allowed responses. Permissions, watch/reply switches, and a live feed of everything the agent sees and sends are managed through a local web UI.

An MCP proxy that sits in front of bank tool servers, letting AI agents make read-only calls like balances and transactions while blocking payments, writes, renamed tools and argument smuggling. Each denial produces an Ed25519-signed receipt that can be verified offline.

Keeps large tool outputs out of an agent's context window by spilling them to disk and handing back a short pointer instead. Lets the agent pull only what it needs — exact numbered line ranges read directly from disk, or verbatim relevant lines returned by a small model answering a question about the stored output, plus tools to open, list, and close documents.

Enables agents to probe URLs and classify bot-wall responses with vendor and signal evidence, perform offline classification, scan for exposed key-like material, and run owner-side access audits through stdio tools.

Enables an LLM to orchestrate multiple downstream MCP tools inside one isolated sandbox in a single turn, filtering intermediate results in memory and returning only the final output to cut context tokens.

Lets any MCP-capable AI agent call a hosted EdgePress site's REST API to browse and manage CMS content or store data, using a personal access token whose role and read-only flag decide what the agent can do. Supports Streamable HTTP at /api/mcp or local stdio via npx, with an OpenAPI spec lookup tool for discovering routes and request bodies.

Enables AI agents to manage the entire Contabo API, including VPS/VDS instances, snapshots, images, object storage, private networks, firewalls, DNS, domains, secrets, users, and tags, through one tool per API operation.

Statistics of Russian texts as tools for LLM agents, built on the ruTS library: readability with school grade and reader age, officialese, SEO metrics, verse meter and rhyme, lexical diversity, morphology, syntax, keywords, concordance, collocations and stylometric comparison. Every value comes with a description, a scale reading and warnings when it is unreliable for the text

Enables AI agents to browse and interact with the noymanga.com community through MCP tools and resources, including reading posts, rankings, and inbox messages; uploading images; creating posts and comments; liking posts; checking in; and managing badges.