FixerSydney

Dual-market GEO platform. 8 MCP tools for AI visibility audit, citation tracking

Find high-intent customers from short-video comments, then generate keyword ideas, lead lists, and outreach scripts.

Browser automation and web scraping

One API for Search, Crawling, and Sitemaps

Pre-connect trust checks for AI agents, frameworks, packages, and MCP servers using HVTracker's public trust registry. Remote MCP endpoint: https://hvtracker.net/mcp Official registry: https://registry.modelcontextprotocol.io/v0.1/servers/io.github.YugantM%2Fhvtracker-mcp/versions/latest

MCP server: prompt -> Meshy.ai 3D model -> Blender turntable -> BoTTube video. The BoTTube 3D-to-video pipeline for AI agents.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

A local MCP server that exposes Bazel build system capabilities to AI assistants. ## Tools | Tool | Description | |------|-------------| | `bazel_query` | Run arbitrary `bazel query` expressions | | `list_targets` | List targets in a package or subtree | | `get_deps` | Direct or transitive dependencies of a target | | `get_rdeps` | Reverse dependencies within a scope | | `show_target_info` | Rule definition via `query --output=build` | | `bazel_build` | Run `bazel build` | | `bazel_test` | Run `bazel test` with structured results | | `explain_build_file` | Read BUILD file contents for analysis |

MDflow is a markdown workspace where folders hold markdown documents and each folder's description defines the context for the documents inside it. The remote MCP server (Streamable HTTP at https://mdflow.cz/api/mcp) lets AI agents search context and read, create, update, move, and share markdown documents and folders. Authenticate with a Personal Access Token via the Authorization: Bearer mdf_... header. Docs: https://mdflow.cz/docs/mcp

MotiveGrid Vehicle Advisor is a Model Context Protocol (MCP) server that provides structured, data-grounded vehicle intelligence for AI assistants. It enables ChatGPT, Claude, and other MCP-compatible tools to compare cars, evaluate long-term ownership cost, analyze safety and driver-assistance ratings, and generate personalized vehicle recommendations based on real constraints like budget, family size, and usage patterns. Unlike generic web search, MotiveGrid returns structured, decision-ready outputs built on real automotive datasets (including depreciation, fuel economy, and safety ratings), helping AI assistants give consistent, non-hallucinated car buying advice. What you can do with it: Compare vehicles side-by-side (e.g., Toyota RAV4 vs Honda CR-V) Get 5-year total cost of ownership breakdowns Retrieve structured vehicle scorecards (safety, reliability, comfort, efficiency) Generate ranked recommendations based on user needs and budget Explore electric vs hybrid vs gas tradeoffs with grounded data Designed for: AI assistants (Claude, ChatGPT, Cursor, etc.) Developers building automotive tools Users making real-world car buying decisions Key principle: All outputs are grounded in structured automotive data and designed to reduce hallucinations in AI-generated vehicle advice.

Local film fixer and location scout for shoots in Ireland. Tools cover day rates, permit authorities and lead times (councils, OPW heritage sites, Coillte, National Parks and Wildlife Service, IAA for drones), the Ireland location library, Section 481 film tax credit eligibility, current availability, and a request_quote tool that lodges a brief straight with Jack Cowhig for a same business day reply. Run by IrelandFixer, a working fixer, not a directory.

Publish HTML to a private, unguessable URL from any MCP client. Gate by password or email domain; replace in place.

Public read-only MCP server for structured aquarium, marine, terrarium and paludarium habitat data. Exposes 39 read-only tools, 9 guided prompts and an Apps-compatible Habitat Explorer widget over a Streamable HTTP endpoint with auth none.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

AI research MCP — company intel, competitive analysis, industry, topic, person, web scrape

Connect any MCP-compatible AI client to a Filamental knowledge graph vault. Search nodes, traverse relationships, and create or edit graph content. Local-first, no cloud dependency, no auth required. Works with Claude, Cursor, Windsurf, Zed and 30+ other clients.

Daily, Ed25519-signed security intelligence for AI-agent stacks: CVEs, supply-chain incidents and advisories (GHSA/CISA-KEV/OSV/NVD + national-CERT) assessed for MCP/LLM-proxy impact, cross-validated and signed. Paid via x402 ($0.10 USDC on Base); free sample, list_available, check_affected, get_since.

Web and local search using Brave's Search API

Wasm sandbox runtime for AI agent code execution. Executes JavaScript, regex, JMESPath, and SQL inside fuel-metered WebAssembly cartridges. Infinite loops trap in microseconds instead of hanging — deterministic failure for LLM-generated code.

LATAM price intelligence for AI agents — 41 verified retailers across 8 countries (PE, AR, BR, MX, CO, CL, IT, FR). 61,000+ prices refreshed every 4h. Tools for search, compare, basket optimization, inflation signals, and procurement workflows. Free API key at cli-market.dev.

ProfitLee MCP is an MCP server for analyzing ecommerce and marketplace profitability. It helps users calculate net profit, profit margin, ROI, breakeven price, and fee-adjusted outcomes from product cost, selling price, shipping, ads, platform fees, and tax inputs. It also supports reusable profit scenarios so users can compare pricing and cost assumptions more easily.

高德地图官方 MCP Server

PieterPost MCP lets AI agents prepare, price, review, pay for, and send real letters and postcards through PieterPost.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.