Deep-research

Read-only database access with schema inspection

Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously reviewed and refined by a powerful AI to maximise accuracy and completeness • Uses a highly capable stealth browser that can access more of the web than traditional research agents • Multi-step workflows allow findings to be validated, expanded, and synthesised automatically • Generates structured outputs rather than simply returning search results For high-stakes research that requires depth, accuracy, and persistence, OpenHelm provides a secure remote environment where complex investigations can be completed autonomously.

Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).

LADU’s MCP server connects AI assistants directly to LA County ADU data. Ask about any address and get a plain-English buildability verdict, the parcel’s zoning and regulatory overlays (hillside, coastal, fire, flood, historic, fault zones), and the governing city’s ADU rules. Query permit statistics for any of 51 supported LA cities — totals, year-over-year trends, and valuation distributions from 19,000+ cleaned permit records going back to 2018. Compare two cities side by side, estimate project costs by type and finish level, or find permitted ADUs near an address.

A universal gateway MCP server providing seamless integration with multiple AI models and services through a unified interface.

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.

Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests What makes OpenHelm the best solution for this: • AI monitors implementation progress and verifies work against the intended outcome • Can investigate code, documentation, issues, and related systems using a real browser • Multi-step workflows support planning, coding, testing, validation, and iteration • Operates within a secure remote environment designed for autonomous development work For software teams looking to accelerate execution, OpenHelm provides an environment where development tasks can be completed from start to finish with minimal supervision.

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基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

AI-powered knowledge base for your Terraform modules. Index, search, compose, and audit - all from one place.

Market knowledge layer for AI agents. Aim monitors millions of sources (news, podcasts, social, competitor and regulatory data) and surfaces the signal shaping your market. Remote MCP server (streamable HTTP, OAuth) at https://mcp.startaiming.com/mcp. Learn more at https://www.startaiming.com

toflow.ai is an AI-native outreach platform for B2B sales teams. Find leads, enrich contacts, and run campaigns across email, LinkedIn, and WhatsApp by chatting with AI. Connect to Claude or ChatGPT via MCP and your AI assistant handles the entire outreach workflow. Prospecting: Search LinkedIn with classic and Sales Navigator-style filters. toflow builds your list instantly. Enrichment: Verify emails, find phone numbers, and pull LinkedIn data through waterfall enrichment across 8+ premium sources. Sequences: Launch multichannel sequences across email, LinkedIn, and WhatsApp from one workflow. Automates connection requests, messages, InMails, and follow-ups. AI Agents: Autonomous agents handle prospecting, follow-ups, and inbox management. Hot leads routed to reps automatically. Unified Inbox: All replies from every channel in one place. CRM: Connects to Salesforce and HubSpot. Every action syncs back automatically. Trusted by 100+ sales teams.

An open-source MCP server that makes government pet-food and veterinary-drug recall data queryable by AI assistants. Search and filter active recalls, fuzzy-match a specific product, and subscribe to email alerts — sourced daily from the Government of Canada (CFIA) and the US FDA (OpenFDA). Zero config: just npx.

One API for Search, Crawling, and Sitemaps

Times Rare is a 1,000,000-pixel public canvas where verified AI agents claim permanent image blocks to advertise services to other agents. Agents-only network — humans cannot claim. Verification via OpenAI / Anthropic / Google / xAI / Mistral API-key handshake OR x402 USDC payment on Base L2. Inflation-adjusted Million Dollar Homepage for the 2026 agent economy. $1.5M revenue ceiling at full sellout. Every claim is permanent. Discovery surfaces include /mcp.json, /agents.json, /llms.txt, /.well-known/agent.json, /.well-known/ai-plugin.json, /.well-known/adagents.json, /openapi.json. The canvas itself is browseable + payable via standard HTTP — no stdio or local install required.

Appendix turns any AI health conversation into a board-certified physician's opinion — with a real prescription when clinically appropriate. Search medical literature and submit a clinical encounter for review, all from your agent.

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

Channel management and messaging capabilities

Authoritative citizenship- (CBI) and residency-by-investment (golden visa) programme data, cost estimates, passport mobility, and the Mirabello Investment Migration Index, plus consultation booking. By Mirabello Consultancy (Zurich + Dubai; IMC member, ACAMS certified). Streamable-HTTP; 9 read-only tools + booking.

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。

Pay-per-call AI agent APIs on Base via x402 — 39 endpoints spanning USPTO patents, US law, academic papers, OFAC sanctions screening, geocoding, weather, AI utilities, image rendering. No signup or API keys — each call settles instantly in USDC.

Improve your visibility across both traditional search engines and AI-powered answer engines using a virtual computer that can analyse websites, competitors, content, and search performance. SEO & GEO by OpenHelm enables your agent to carry out work such as: • SEO audits and recommendations • GEO (Generative Engine Optimisation) analysis • Competitor monitoring • Content opportunity discovery • Search visibility reporting What makes OpenHelm the best solution for this: • Continuously evaluates whether recommendations are actually improving visibility over time • Can investigate competitors and search results using a highly capable stealth browser • Multi-step workflows allow analysis, planning, implementation, and monitoring to work together • Designed for both search engines and emerging AI discovery platforms For organisations looking to grow organic visibility, OpenHelm provides a secure environment where optimisation work can be performed continuously and autonomously.

Search 600,000+ CS/AI/ML papers with citation-graph traversal, full-text extraction, embeddings, and BibTeX export, inside Claude Code, Cursor, and other MCP clients.

A4B is a flat-rate CMMS (asset & maintenance management) that ships a native MCP server — an integration still uncommon in the CMMS category. AI assistants like Claude and ChatGPT can query asset inventory, create and update assets and maintenance tasks, search history, and generate reports. Secured with OAuth sign-in, audit logging, and per-organization isolation.

高德地图官方 MCP Server

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.