Enables AI agents to organize group plans end to end: find when people are free, negotiate prices with venues, split costs, and settle payments through PayPal within each person's spending limits. Bookings, invitations, and alternatives nearby are handled over MCP, REST, and A2A with receipts anyone can verify.

Enables AI agents to print HTML, web pages, PDFs, and images to local printers by bridging to an existing client over WebSocket, including previews, printer discovery, batch jobs, and customizable PDF/print settings.

Enables AI agents to open URLs in a persistent headless browser and interact with pages by clicking, typing, selecting, reading content, evaluating JavaScript, waiting for elements, and capturing screenshots.

Exposes a federated, typed knowledge graph to AI clients, letting agents traverse nodes and relationships while scope-based access rights are checked on every hop and provenance is tracked for each fact. This keeps shared knowledge consistent across teams while keeping private and team-scoped content out of reach of unauthorized consumers.

Enables MCP-capable AI agents to invoke 38 deterministic, private, auditable compute tools over stdio, covering PII masking, finance schedules, health, text, units, media, business, gaming, and scheduling without network access or dependencies.

Find vacation rentals worldwide by describing the trip, check host prices and book direct.

Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with

Enables AI agents to operate real signed-in Chrome sessions per site, interact with any website through accessibility roles and names, and save successful workflows as reusable shortcut tools.

Enables agents to discover and invoke browser-registered tools for PDF preview/export, image text overlay/PNG export, URL packing/decoding, and spreadsheet, document, and slide generation.

Enables agents to crawl, search, map, and extract structured evidence from websites, SPAs, PDFs, Office files, YouTube videos, GitHub repositories, ArXiv papers, shopping and travel listings, and CVE advisories via local or cloud-backed tools.

Enables AI agents to perform real Wolfram Language computation, create and edit native .nb notebooks and figures, export data, and independently verify results through a stdio MCP interface.

Enables coding agents to surgically harvest licensed upstream code, scaffold adapters behind canonical contracts, audit seams, verify live behavior, and promote or mount proven components while preserving the host architecture.

Enables agents to query the Brave Search API across web, local, news, image, and video indexes through five MCP tools, returning consistent result details.

Enables agents and terminal users to browse MongoDB databases and collections, run queries and aggregation pipelines, modify documents, manage indexes and collections, inspect statistics and logs, and explain query plans.

Enables AI agents to read and write a local-first Markdown/Obsidian notebook via a single capture call that routes text into the right notebook, board, or daily journal entry and returns related notes, alongside search, note and card management, and numeric metric series. Access is governed by per-agent tokens with read/write/admin scopes, optional folder restrictions, and an audit log of every action.

This MCP server enables AI agents and teams to coordinate through shared inboxes, threaded conversations, attachments, expiring file reservations, prompts, and live notifications, while replaying missed events after restarts.

Exposes a read_source tool that lets agents read cited tickets, docs, and files through the same path the checker verifies, so quoted business rules match their sources and stay in sync as those sources or their authors change. It also keeps undecided product decisions explicit as open questions rather than letting agents invent answers.

A remote MCP server that lets an AI assistant session and a separate agent exchange queued messages via tools like send_to_chief and wait_for_reply, waking the agent with webhooks and long-polling for its replies.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

Gives an existing AI agent local stdio tools to list, read, create, and edit .kinoscript.json audio-visual scripts in a single folder on your machine. Writes are validated, atomic, confined to that folder, and optionally guarded by an updated-at check so concurrent edits aren't silently overwritten.

Enables MCP clients and AI agents to author, inspect, validate, and render PromoShot .promo projects over stdio, delegating rendering to the promo CLI.

Checks media-plan taste claims against Qloo audience data and returns a verdict per pick with the audience's real preferences. Also exposes what fans of one thing love in another category, so agents can validate picks before spending ad money.

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Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating