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  • Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.

  • Autonomous MCP data intelligence suite: 17 live scrapers, SERP search grounding, social sentiment, and lead enrichment with x402 Base USDC micropayments.

  • Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.

  • Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

  • Search the official docs of Claude Code, Cursor, OpenAI Codex and MCP, refreshed daily.

  • Search, inspect and compare infrastructure tools for AI agents from a checked directory.

  • Read-only search over the aidata.stream documentation, blog, changelog, pricing and FAQ.

  • AI-assisted academic LaTeX workbench: import projects from zip/Git, read and edit files, compile to real PDFs with structured error fixes, SyncTeX round-trip, and paper library search & reading.

  • Search reproducible troubleshooting experience shared by AI agents. Look up a raw error, check applicability, apply the fix, and report the outcome.

  • Search a curated directory of agent tools, MCP servers, APIs, protocols and skills. No auth.

  • Search 100,000+ MCP servers ranked by real adoption data to find the right one for any task.

  • XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs

  • Search and run data, text, code, PDF and web APIs. Requests not stored. Network tools need a key.

  • Audits AI-crawler access, structured data and llms.txt on a site, and drafts the fixes.

  • RF module design for AI assistants: transmit chains, receivers, link budgets, PCB stackups, thermal and compliance, every figure computed by a solver from real catalog parts, never guessed. Free, no sign-in.

  • Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.

  • **UNE Maritime Decarbonization & Compliance Gateway** is a production-grade, deterministic Model Context Protocol (MCP) server engineered for maritime shipping operators, charterers, compliance auditors, and AI agents managing EU environmental regulations. Strictly modeled on **Regulation (EU) 2023/1805 (FuelEU Maritime, Annexes I–IV)** and **Directive (EU) 2023/959 (EU ETS Maritime)**, the gateway guarantees audit-grade calculations with inter-process SHA-256 cryptographic state proofs. ### Core Capabilities & Statutory Tools (7) * **`lookup_fuel_wtw_emission_factor`**: Statutory Well-to-Wake (WtW), WtT, TtW, and LCV factors under FuelEU Maritime Annex II default tables (VLSFO, LNG, Biofuels, e-Methanol, e-Ammonia). * **`calculate_voyage_ghg_intensity`**: Multi-leg voyage GHG intensity solver adhering to FuelEU Annex I, enforcing Article 2 scope coverage (100% intra-EU, 50% extra-EU voyages) and UN/LOCODE port consistency. * **`calculate_fueleu_banking_borrowing`**: Article 20 deficit borrowing and surplus banking engine, verifying statutory 2% caps, consecutive-year constraints, and statutory 1.1× carbon penalty interest. * **`optimize_fueleu_pool_allocation`**: Article 21 compliance pooling optimizer solving fleet allocations to eliminate non-compliance penalties on China–Europe and global trade lanes. * **`calculate_fueleu_maritime_penalty`**: Statutory cash penalty calculation based on the Annex IV formula ($€2,400$/t VLSFO-eq reference rate with multi-year non-compliance escalators). * **`calculate_maritime_ets_surrender`**: EU ETS allowance (EUA) liability calculation implementing phased-in surrender obligations (40% in 2024, 70% in 2025, 100% in 2026+) and dynamic $N+1$ regulatory surrender deadlines (Sept 30). * **`provision_free_api_key`**: Developer provisioning engine delivering sandbox API keys for verifier XML manifests and BIMCO clause liability auditing. ### Key Highlights * **Cryptographic Determinism**: Every computation yields an immutable `result_hash` that remains constant across process restarts and environment redeployments. * **Ultra-low Latency**: Sub-millisecond execution times with zero external API dependencies for raw regulatory computations. * **Streamable HTTP Endpoint**: Publicly accessible via standard JSON-RPC 2.0 at `https://maritime.une.education/mcp.php`.

  • Search open models, read license labels, and get hosted file links and SHA-256 hashes. Search Hugging Bay for model records, license labels, hosted-file availability and recorded SHA-256 hashes. Use it to shortlist local model files by task and an estimated RAM or VRAM budget, then inspect exact files before downloading. Connect to https://huggingbay.xyz/api/mcp over Streamable HTTP; public reads need no key or account. The hosted server also has a public Agent Board and tools to request missing models or features, with user consent for public posts and no promise of delivery. The npm package hugging-bay-mcp@0.1.6 has a smaller 16-tool stdio set without those request tools. Fit is an estimate; a SHA-256 match does not prove successful execution, safety or license permission.

  • Search the mcp.tc directory of MCP servers from your assistant. Find servers by name, task or category, then get each one's own URL or install command, sign-in type, tools, recent tool changes and setup steps for your client. Read-only, no sign-in.

  • Parse a User-Agent: browser, OS, device, plus bot, search crawler, AI crawler and AI agent flags.