MCP server(s) for Aipolabs ACI.dev
安装状态
已补齐
工具数量
0
GitHub Stars
249
命令预览
pip install uv
MCP server(s) for Aipolabs ACI.dev
安装状态
已补齐
工具数量
0
GitHub Stars
249
命令预览
pip install uv

@discourse/mcp@latest
A Model Context Protocol (MCP) stdio server that exposes Discourse forum capabilities as tools for AI agents. Works with all deployments of discourse.org, self hosted or cloud hosted. just generate an API key to connect.
安装状态
已补齐
命令预览
npx -y @discourse/mcp@latest [object Object]
A Google Search MCP server that connects with LLMs or any MCP client to enable realtime search.
安装状态
已补齐
命令预览
npm install express googleapis
Implementation of an MCP server for Linear integration
An MCP server providing tools for AI agents to mint ERC-20 tokens across multiple blockchains.
安装状态
已补齐
命令预览
npx token-minter deployToken --name
A task management MCP server that provides comprehensive project and task tracking capabilities
安装状态
已补齐
工具数量
0
GitHub Stars
35
命令预览
pip install uv
Brightsy MCP Server是一个连接Brightsy AI代理的模型上下文协议服务器,支持自定义工具名称和环境变量配置。
工具数量
1
GitHub Stars
1
MCP server for AI-agent handoffs. A2CR saves client-encrypted WorkBaton checkpoints and WorkStash notes so MCP-capable clients can resume work without passing full chat history.
安装状态
已补齐
命令预览
A2CR_BASE_URL={A2CR_BASE_URL} a2cr-mcp [object Object]
Enables integration with Abacate Pay API for managing payments, customers, and billing through AI assistants. Supports multi-tenancy, PIX QR codes, discount coupons, and payment simulation with secure per-request API key authentication.
安装状态
已补齐
命令预览
npx changeset add\",

agentforge-trust-mcp@latest
One MCP connection → 100+ MCP servers, with trust audit, discovery, and execution│Trust Scores (0-100) across 5 dimensions: code health, security, behavioral audit│community trust, EU compliance.
安装状态
已补齐
命令预览
AGENTFORGE_API_URL={AGENTFORGE_API_URL} AGENTFORGE_API_KEY={AGENTFORGE_API_KEY} npx -y agent...
An open-source platform for Retrieval-Augmented Generation (RAG). Upload documents and query them ⚡
安装状态
已补齐
命令预览
npx changeset add\",
Enables academic paper search and analysis through the AMiner API. Supports keyword, author, and venue-based searches with advanced filtering and citation data for research assistance.
安装状态
已补齐
命令预览
npx 启动
An MCP server that enables AI assistants to interact with the Anki flashcard application for studying, deck management, and note creation. It supports natural language interaction for reviewing cards, searching content, and managing media files across local and remote environments.
安装状态
已补齐
命令预览
npx @ankimcp/anki-mcp-server
Provides AI agents with context for integrating Arcjet security features like bot detection and rate limiting into applications. It enables users to retrieve information about processed requests, teams, and sites through the Model Context Protocol.

@boldsign/mcp
An MCP server designed to facilitate interaction between Large Language Models (LLMs) and the BoldSign API. The Model Context Protocol (MCP) extends LLM capabilities, enabling them to act as agents when connecting with external systems.\\n\\nThis project contains various tools that interact with the BoldSign API to manage templates and documents for your e-signature.
安装状态
已补齐
命令预览
BOLDSIGN_API_KEY={BOLDSIGN_API_KEY} BOLDSIGN_API_REGION={BOLDSIGN_API_REGION} npx -y @boldsi...
BrowserStack MCP server
安装状态
已补齐
命令预览
npx -y @browserstack/mcp-server@latest\"
Enables comprehensive interaction with the BugBug test automation platform through its API. Supports running tests, monitoring execution status, managing test suites, retrieving results and screenshots, and performing batch operations through natural language commands.
Control virtual computers through the Model Context Protocol (MCP).
安装状态
已补齐
命令预览
ORGO_API_KEY={ORGO_API_KEY} ANTHROPIC_API_KEY={ANTHROPIC_API_KEY} python computer_mcp_server...
@smithery/cli@latest
Tamper-evident cryptographic audit trail for LLM outputs. Compliance logging for AI agent decisions. Tools: dcl_commit, dcl_verify, dcl_get_chain, dcl_report. Requires API key from fronesislabs.com
安装状态
已补齐
命令预览
DCL_API_KEY={DCL_API_KEY} npx -y @smithery/cli@latest run dcl-evaluator--fronesislabs --key ...

deepmiro-mcp
Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.\\r\\n\\r\\n
安装状态
已补齐
命令预览
DEEPMIRO_API_KEY={DEEPMIRO_API_KEY} npx -y deepmiro-mcp [object Object]