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

One call merges hiring intent and tech-stack detection into a single composite GTM score with a recommended next action. Part of the Mamba Labs signal toolkit.

Workflow tools for US federal contractors over MCP — go/no-go scoring, incumbent intelligence, teaming-partner search, recompete prediction, Navy NECO lookup, and SAM.gov solicitation retrieval. Returns synthesized decisions, not raw data.

Universal product search across 40+ stores (Amazon 22 countries, eBay 22 countries, Awin 15k merchants, AliExpress, SaaS, B2B) — 52 languages, x402 micropayments.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

Point it at your site, get a whole-site AEO/GEO audit plus a ready-to-run plan your agent can execute. Orchestrates the ai-seo and citation-intelligence MCPs. Ships as a Claude skill, Claude plugin, and MCP server. No API keys required for the core audit-to-plan flow.

BECOMER gives any LLM persistent memory across sessions — without spending a single token on retrieval.

At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search. Bittlebits has a Model Context Protocol (MCP) integration that lets you bring your GEO scores and rewrite suggestions directly into AI agents — whether you're using Claude Code in your terminal, GitHub Copilot in your IDE, or an AI web app, instead of copying content back and forth, AI can read exactly what Bittlebits recommends and help you apply those changes, including writing them directly into your codebase.

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。

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

Playwright MCP server

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AI interior design via MCP — restyle rooms, place furniture, and virtually stage spaces from a photo. Generate photorealistic interiors directly from Claude Code, Cursor, or any MCP client.

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KOL, smart money & whale wallets API on Solana, BNB, Base, ETH: Wallet tracker, Leaderboard

mcp-kinetic-gain is a single stdio MCP server that exposes all eleven Kinetic Gain Protocol Suite specs to any MCP-compatible client (Claude Desktop, Cline, Cursor, etc.) — 71 tools across AEO Protocol, Prompt Provenance, Agent Cards, AI Evidence Format, MCP Tool Cards, AI Tutor Cards, Student AI Disclosure, Classroom AI AUP, Clinical AI Disclosure, AI Incident Card, AI Procurement Decision Card, plus the DefenseTech 6-pack tooling shipped in v0.8.0. Includes ed25519 attestation verification, hash-chained audit-stream event composition and chain verification (offline AND live against a running audit-stream-py via the optional AUDIT_STREAM_URL env var), cross-spec drift detection, and a Decision Intelligence preview that generates a PolicyBundle from a Decision Card, infers rubric status, and plans incident remediation. Also doubles as a CLI: `npx mcp-kinetic-gain validate path/to/doc.json` auto-detects which Suite spec a JSON file belongs to and validates it against the same zod schemas the MCP tools use. No API key. No build step. Headline tools: aup_check_compliance, decision_card_validate, decision_card_to_policy_bundle, attestation_verify, suite_doc_drift, audit_chain_verify, audit_event_emit, audit_events_query, audit_chain_verify_live. Repo: https://github.com/mizcausevic-dev/mcp-kinetic-gain Suite: https://suite.kineticgain.com License: Apache-2.0

Reads a company public site to flag the CRM, sequencer, and marketing automation it runs, with per-tool booleans for HubSpot, Salesforce, Apollo, Gong, Intercom, and Marketo. Part of the Mamba Labs signal toolkit.

Alloy is an AI-native workspace where teams and AI agents share knowledge, artifacts, workflows, and controlled access to external systems through one common operating layer.

Enable AI agents such as Claude, Co-Pilot, Codex, and other compatible tools to create, manage, and optimize advertising campaigns on ChatGPT.

Token-aware response paging for MCP servers. One line of code — large tool responses chunked and delivered page by page.

LLM persona consistency engine — enforce JSON personality and style constraints across interactions. Prevents persona drift with 160,000 deductively-derived behavioral rules.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Browser automation and web scraping

Web content fetching and conversion for efficient LLM usage

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