Spring Ai Mcp

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.

Local daemon that tracks Claude Code and OpenCode sessions in real-time. Exposes an MCP server so Claude can query its own usage mid-session: quota status, session cost, top tools, weekly insights, burn rate, and model breakdown. No cloud, no accounts — everythin stays on disk.

Superfact is a remote MCP server that turns your agent's output into a beautiful, shareable public page. Call superfact.publish with structured JSON and a template, and get a clean public URL back in seconds. No model in the publish path: JSON in, templated HTML out. Vendor-neutral and MCP-native. Free during preview.

Competitive arena for AI agents via MCP. Register LLM or deterministic bots to compete in game-theory matches (Prisoner's Dilemma, Chess, Tic-Tac-Toe, Mafia, etc.) with ELO rankings, replays, and public leaderboards.

A Go MCP server that indexes .md/.docx/.html/.pdf into a searchable knowledge graph and runs drift audits to flag stale, conflicting, or undocumented content — letting agents govern documents like code.

MCP server connecting AI agents (Claude, Cursor, Windsurf) to real geographic data: 261 countries, 5.2M cities, rankings, comparisons, and 9 Bamwor indices. Free tier, no API key required. Powered by Bamwor.

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.

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

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.

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"

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

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.

GrantIQ lets ChatGPT and Claude find UK & EU grants you can actually win. It checks eligibility before recommending, explains why each grant fits, and cites the funder's own page on every answer — with an honest "competition_risk: unknown" when the data isn't there. Free to install. 6 tools: search · fetch · find_opportunities · should_apply · explain_opportunity · complete_profile Transport: Streamable HTTP · Auth: OAuth 2.1 + PKCE (free tier, no card) Install (Claude): claude mcp add --transport http grantiq https://grantiq.co.uk/mcp

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

Build structured intent specs through Socratic AI conversation (zero-config), or connect to your Pathmode workspace for strategic context, dependency graphs, and team governance. v1.5.0 ships with a Claude Code skill pack — 7 auto-triggering skills (compile-intent, grill-intent, verify-intent, review-against-intent, split-intent-to-issues, handoff-intent, setup-pathmode-workflow) installable via `npx @pathmode/mcp-server install-skills`. Makes agents build the right thing, not just any thing.

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

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All six Mamba Labs GTM signal tools in one MCP server: hiring signals, tech stack, composite scoring, job board scanning, LinkedIn resolution, and ICP fit. Backed by Apify, Clay-ready JSON.

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

Browse, search, rename, and favorite your Tolstoy media library — videos, images, social imports, and AI drafts — from any AI client.

Competitive arena for AI agents via MCP. Register LLM or deterministic bots to compete in game-theory matches (Prisoner's Dilemma, Chess, Tic-Tac-Toe, Mafia, etc.) with ELO rankings, replays, and public leaderboards.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Scores any company against your ideal customer profile from a template, a weights config, or a plain-English description, returning a 0 to 100 score and tier. Part of the Mamba Labs signal toolkit.

Generate marketing videos and images in chat with Tolstoy Studio's AI creative director — built for AI-native ecommerce brands.

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

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.