Discover Awesome MCP Servers

codeledgerECF/codeledger

Deterministic context selection for AI coding agents. Scores and selects the minimal file set for each task, then records outcomes into a local ledger that compounds into reusable patterns.

Spring Ai Mcp Deepseek

Okay, here's a translation of the English phrase "Integrate MCP service with Spring AI, including MCP server and deepseek client" into Vietnamese, along with some context and considerations for a more complete understanding: **Translation:** * **Option 1 (More literal):** Tích hợp dịch vụ MCP với Spring AI, bao gồm máy chủ MCP và client Deepseek. * **Option 2 (Slightly more natural):** Kết hợp dịch vụ MCP vào Spring AI, bao gồm máy chủ MCP và client Deepseek. * **Option 3 (Emphasizing the integration's purpose):** Sử dụng Spring AI để tích hợp dịch vụ MCP, bao gồm máy chủ MCP và client Deepseek. **Explanation of the terms:** * **Integrate:** Tích hợp (to integrate), Kết hợp (to combine) * **MCP Service:** Dịch vụ MCP (MCP service) - MCP likely stands for a specific service or protocol. Without more context, we keep the abbreviation. * **Spring AI:** Spring AI (Spring AI) - This is a framework, so we keep the English name. * **MCP Server:** Máy chủ MCP (MCP server) * **Deepseek Client:** Client Deepseek (Deepseek client) - Assuming "Deepseek" is a proper noun (like a company or product name), we keep it in English. **Context and Considerations for a Complete Understanding:** To provide a more accurate and helpful translation, it's important to understand the context of this phrase. Here are some questions to consider: * **What is MCP?** Knowing what MCP stands for and its purpose is crucial. Is it a message queuing protocol, a data management system, or something else entirely? This will help choose the most appropriate Vietnamese term. * **What is the goal of the integration?** What functionality are you trying to achieve by integrating MCP with Spring AI? Are you trying to: * Use Spring AI to process data from the MCP service? * Use Spring AI to manage or interact with the MCP server? * Use the Deepseek client to access data or functionality within the MCP service? * **What specific Spring AI features are you using?** Are you using Spring AI's data integration capabilities, its AI model integration features, or something else? * **What is the role of the Deepseek client?** How does it interact with the MCP server and Spring AI? **Example with More Context (Hypothetical):** Let's say MCP is a message queuing protocol, and you want to use Spring AI to process messages from the MCP server using the Deepseek client for data enrichment. Then, a more appropriate translation might be: "Sử dụng Spring AI để xử lý tin nhắn từ máy chủ MCP, sử dụng client Deepseek để làm phong phú dữ liệu." (Using Spring AI to process messages from the MCP server, using the Deepseek client to enrich the data.) **In summary:** The best translation depends on the specific context. The options provided above are good starting points, but providing more information about the purpose and functionality of the integration will allow for a more accurate and helpful translation. Please provide more details if you want a more tailored translation.

MCP Action Firewall

A transparent proxy that intercepts high-risk tool calls and requires OTP-based human approval before they can be executed. It acts as a configurable circuit breaker between AI agents and target MCP servers to prevent unauthorized or dangerous actions.

meta-mcp

MCP server for Instagram Graph API, Threads API & Meta platform — posting, insights, comments, messaging

COMSOL MCP Server

Enables AI agents to automate multiphysics simulations in COMSOL Multiphysics, covering model management, geometry building, physics configuration, and results visualization. It supports complex simulation workflows through the MCP protocol and includes integrated knowledge retrieval for documentation and troubleshooting.

Metabase MCP Server

Enables AI assistants to interact with Metabase analytics platform, allowing users to query databases, manage dashboards and cards, execute SQL queries, and access analytics data through natural language.

MCP Uplink

A CLI and cloud platform providing managed hosting for MCP servers with intelligent tool filtering to reduce token costs and improve LLM accuracy. It serves as a secure proxy that connects AI clients to cloud tools while keeping sensitive credentials on the local machine.

PingOne Advanced Identity Cloud MCP Server

Enables AI assistants to interact with PingOne Advanced Identity Cloud environments through natural language, supporting user management, authentication theme customization, log analysis, and identity data queries with secure OAuth 2.0 authentication.

MCP Hub Documentation

MCP Hub là một khung toàn diện để xây dựng, quản lý và triển khai các máy khách và máy chủ của Giao thức Ngữ cảnh Mô hình (MCP). Nó cung cấp các công cụ và cấu hình để cho phép tích hợp và thực thi liền mạch các quy trình làm việc MCP đầu cuối.

Remember Me

Máy chủ MCP để lưu trữ các hiện vật trò chuyện và quy tắc.

vibase

Easily query and mutate Postgres data using MCP. This is an open source project.

LinkedIn Sales & Navigator MCP Server

Enables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.

Clawallex MCP Server

Enables AI agents to make payments and manage subscriptions by converting USDC stablecoin balances into virtual cards for online checkouts. It provides tools for wallet management, card issuance, and secure transaction handling through the Clawallex payment API.

phantom-voices-mcp

PHANTOM VOICES MCP Server — Search, browse, and get platform-ready voice configurations for ElevenLabs-hosted text-to-speech voices across 29 integration platforms including Vapi, Retell AI, Bland AI, Synthflow, Voiceflow, LangChain, Amazon Connect, Twilio, and more. Features natural language voice & multilingual support 9+ languages.

GraphRAG MCP

Enables enterprise document retrieval using graph-based reasoning and knowledge graphs. Allows agents to search and extract information from scattered documents through structured entity and relationship extraction.

Jenkins MCP Server

Enables interaction with Jenkins instances to manage jobs, builds, and nodes through the Model Context Protocol. It provides capabilities to trigger builds, read console outputs, and search log sections using regular expressions.

Tableau MCP Server

Enables AI applications to integrate with Tableau through tools, resources, and prompts for querying data, exploring content, and retrieving visualizations from Tableau workbooks and datasources.

BIG-IP MCP Server

Enables management of F5 BIG-IP load balancers through secure authentication and configuration queries. Supports multiple devices with token caching, allowing users to list virtual servers and device configurations through natural language.

cmd-line-mcp

A secure Model Context Protocol server that allows AI assistants to execute terminal commands with controlled directory access and command permissions. It features a robust security architecture including whitelisting, session IDs, and categorized command levels to ensure safe system interaction.

Translation MCP Server

An AI-driven text translation service supporting 20+ languages, based on the Model Context Protocol (MCP) for integration with Claude Desktop and other MCP-compatible applications.

Philippine-Geocoding

A model Context Protocol (MCP) server that provides access to the Philippine Standard Geocoding (PSGC) API, containing complete geographic hierarchical data of the Philippines.

DOCX MCP Server

Enables creation, editing, and management of Word documents through JSON schema with support for rich content including text formatting, tables, images, code blocks, and lists. Provides comprehensive DOCX operations including opening existing documents, modifying content, and saving files to disk.

Building AI-Powered Applications with Spring AI and Model Context Protocol

Spring ai and Reactjs Based Proof of Concept of a Server Hosted MCP Client + MCP Server solution available for natural language interaction

Cloudflare Email MCP

Enables AI agents to send emails via Cloudflare's Email Service. Provides both MCP server integration for AI tools and a REST API for traditional applications with support for HTML content, attachments, and secure authentication.

Homelab MCP Server

Enables AI assistants to manage homelab infrastructure through automated service installation (Jellyfin, Pi-hole, Ollama, Home Assistant, Frigate NVR), VM operations, AI accelerator support (MemryX, Coral TPU, Hailo-8), and Terraform state management with SSH-based discovery and deployment.

Selvedge

Change tracking for AI-era codebases. AI agents call it to log structured change events (entity + diff + reasoning) before the session ends, then query history with diff, blame, history, changeset, and search. Captures the intent that would otherwise evaporate.

Zephyr Scale MCP Server

Enables comprehensive test management through SmartBear Zephyr Scale's REST API, supporting automated workflows for test cases, cycles, executions, folders, and linking tests to Jira issues through natural language.

Total Recall

Portable MCP memory server giving AI agents persistent, verified, cross-session memory. 30 tools, SQLite + cloud sync, Chrome Extension for every AI chat platform. The only JavaScript MCP memory server. Includes behavioral learning engine, semantic search, knowledge scoping, session quality scoring, and web dashboard.