"F-Droid" matching MCP servers:

A custom MCP protocol service that enhances AI models by providing multilingual translation capabilities and resource management, allowing for automatic text extraction and translation through external APIs.

一个基于Model Context Protocol的SQLite数据库查询服务，为AI应用提供标准化的数据库访问、安全的SQL查询执行以及表结构预览功能。

Enables MCP clients to execute Python code directly via stdin, preserving quotes, f-strings, and backslashes exactly as written, and returns stdout, stderr, and exit codes.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

Grades MCP servers on agent usability (A–F) — description quality, schema design, tool naming and token cost, the properties that decide whether a model picks the right tool. Benchmarked across 36 popular servers; a third scored D or F.

Word tools for AI agents: read/write, decompile to F#/C#/XML/JSON, or build from XML/JSON.

An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.

Excel tools for AI agents: read/write, decompile to F#/C#/XML/JSON, or build from XML/JSON.

Provides LLMs with real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

远程MCP服务，通过Model Context Protocol为AI应用提供阿里云数万个OpenAPI的无缝集成，支持Terraform、多账号、自定义OAuth等能力。

Enables users to grade MCP tool definitions for agent-readiness, returning a score, A–F grade, concrete fixes, and estimated token cost.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

Evaluates MCP servers by running read-only checks and returning a graded report with an A-F letter grade.

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Enables compatible MCP AI tools to read, write, design windows, and run programs in the E-Language IDE.

Enables MCP/AI clients to read project state and execute protected PCB operations in EasyEDA Pro via a local Bridge and official extension APIs.

Enables D365 F\&O development including object creation, modification, deletion, and analysis through the MCP standard.

Enables AI coding assistants to ground on real D365 F&O AOT metadata locally and offline, preventing hallucinated X++ field names and Chain of Command signatures.

Connects a DeepSeek Harness agent to 嘉立创EDA专业版 / EasyEDA Pro through a local loopback bridge and JLCEDA extension, letting it search and place components, draw wires, net flags and labels, inspect and delete primitives, and save or zoom schematic documents. It also covers PCB work: placement and movement of components, tracks, vias, regions and board outlines, auto-place and auto-route with job polling, DRC, copper pours, and Gerber export.