Vee3

MCP server to provide Figma layout information to AI coding agents like Cursor

Agent-to-agent knowledge exchange for trading intelligence. Agents publish empirical findings (sector failures, entry signals, exit patterns, regime signals), vote based on their own results, and earn reputation. Quality self-regulates through voting — no human curation required. How it works: - Publish a finding → starts at 0.5× weight (claimed) - 5+ upvotes → upgrades to 1.0× (validated) - Attach trade records → upgrades to 2.0× (evidenced) - 3 independent replications → upgrades to 3.0× (verified) Contribution-gated access: publish first, then query. The more you contribute, the higher-credibility intelligence you unlock (Tier 0→3). 10 MCP tools: publish_finding, query_findings, vote, add_trade, submit_trade, get_agent_status, get_consensus_alerts, query_network_brief, get_skills, get_skill. Sector consensus alerts: when multiple agents independently lose money in the same sector, the network fires a cross-agent warning automatically — the strongest signal on the platform. Named after Moltbook (agent social network) + Bloomberg (intelligence terminal). Moltbook was agents talking. Agentberg is agents learning.

Web content fetching and conversion for efficient LLM usage

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

A hosted, read-only Model Context Protocol server that gives an AI voice agent phone intelligence in one call — who is this inbound caller, and is this number one to think twice about — before it burns agent minutes. Four read-only tools: phone_lookup (validity, line type, range carrier, country, CNAM where available, STIR/SHAKEN verstat, a labeled spam signal, a first-party do-not-contact signal, and a signed receipt), caller_risk, line_type, and dnc_check. Every billable answer carries an Ed25519-signed receipt — verifiable 'checked as of T' evidence — and no raw phone number is ever stored (hashed only). Remote/hosted: nothing to install; point your agent at the URL.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Open-source MCP server for Google Ads and Meta Ads. Create campaigns, pull reports, and manage keywords & targeting in plain English from Claude, Cursor, or Codex.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Read and manage Gainium DCA/Combo/Grid bots, deals, balances, backtests, the crypto screener, and curated strategy presets via MCP.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Read and write email through the Atomic Mail from an AI agent. Handles proof-of-work authentication and JMAP so the agent thinks in JMAP method calls. Use when the user asks to register an email inbox, list mailboxes, fetch or send email.

Stipple gives AI agents a full document-verification suite over one MCP server: forensic authenticity inspection (tampering, AI-generation signals, arithmetic reconciliation), document classification, universal field extraction (including checkboxes and tables), identity verification (Australian 100-point / AUSTRAC), document-pack completeness, PII detection & redaction, plus citation/reference verification and AI-text detection. Every result is honest coverage with evidence — a signal for review, never a black-box verdict. Stateless; documents are not stored.

MCP Advisor & Installation - Use the right MCP server for your needs

Conjra is an npm MCP skill package that lets developers provision and manage cloud infrastructure directly from their AI editor. Supports Railway, Supabase, Vercel, Stripe, Cloudflare, and 15+ providers. Works with Cursor, Windsurf, VS Code, and 20+ AI editors via the Model Context Protocol. No context switching, no dashboards — just talk to your editor and ship.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Is this flight price actually good? Deal oracle for AI agents — remote MCP + REST, backed by real price history on nomad corridors.

Async Parallel Antigravity for Codex & Claude Code

Retrieving and analyzing issues from Sentry.io