cangjie-mcp is an open-source MCP server for the Cangjie programming language, offering documentation search and code intelligence features. Below are 38 frameworks & sdks apps with similar functionality to cangjie-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Single-binary MCP server for embedded BangC, CNRT, and CNNL documentation search.
Simple MCP Client to quickly test and explore MCP servers from the command line
MCP (Model Context Protocol) server for pyscn Python code analyzer
Turn any MCP server or OpenAPI spec into a CLI
MCP server for Link local agent memory — remember, recall, search, context, and graph traversal
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
MCP server for Google Merchant Center on Merchant API v1. MIT-licensed, pip install-able, 126 tools across 19 modules with audit log, rollback, and dry-run.
Lookup MCP servers in the official MCP Registry by name or URL.
CI gate for MCP servers
Convert MCP server tools into hierarchical CLI commands and agent Skills
The package manager for MCP servers — install and configure in one command.
MCP server for junos-ops: expose Juniper device operations to AI assistants
MCP server that collects articles from 1100+ RSS feeds across 150+ countries
Thin MCP server for Cisco CML2: openapi.json + generic authenticated REST.
MCP server that extracts complete knowledge from any codebase — architecture, patterns, dependencies, API surface
A MCP server which proxies requests to a remote MCP server over streamable HTTP or SSE.
Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.
The cendor-mcp server provides a read-only implementation of the Model Context Protocol (MCP) for connecting agent-mode AI coding assistants to Cendor's live documentation and API call-shapes. It is designed to support assistants such as Claude Code, Cursor, GitHub Copilot (in agent mode), and Windsurf Cascade by supplying them with accurate, up-to-date information about Cendor libraries, ensuring that generated code aligns with the current published package versions on PyPI and npm. The tool operates in a pull-based manner: the assistant sends queries to the server, which responds with information, but no user code or data is sent to the server, and the server never initiates communication with the client. cendor-mcp offers several specific functions to AI assistants. These include full-text search over Cendor documentation, retrieval of complete documentation pages in markdown, access to the correct API call-shapes for specific symbols (with both correct and common incorrect forms), provision of runnable, CI-typechecked code snippets for tasks, and listing of cookbook recipes that can be copied and run offline. Each response is built from the authoritative documentation source and is stamped with the current published package versions, preventing discrepancies between documentation and available packages. The server can be accessed remotely via a hosted endpoint (https://mcp.cendor.ai) for zero-install integration or run locally for offline use, with all documentation bundled and no network communication required. Local operation is supported via Node (npx) or Python (uvx), allowing flexibility for different development environments. The tool is open source and distributed under the Apache-2.0 license. It is intended as optional developer tooling and is not required by Cendor libraries at runtime. cendor-mcp is particularly aimed at developers integrating or building AI coding assistants that need access to live, accurate documentation and call-shape information for Cendor libraries. Its design emphasizes privacy, as no codebase data leaves the user's machine in local mode, and it operates strictly in agent mode, not supporting inline autocomplete scenarios. The project is maintained by Raghav Mishra (PowerAI Labs) and is available "as is" under the stated license.
contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.
MCP server for Keysight CyPerf network testing platform
MCP server for LibreNMS management
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
fc-mcp is an open-source Python package that implements client challenge protocols. It is distributed via PyPI, licensed under MIT, and provides a command-line interface for developers to integrate challenge-response mechanisms into their applications.
MCP server that gives LLMs persistent graph-structured memory
Pure-Python MCP server exposing the beebjit BBC Micro emulator to MCP-speaking clients over stdio JSON-RPC
Minecraft 服务器状态查询工具，支持 Java 版和 Bedrock 基岩版
Google Search CLI and MCP server for AI agents
MCP server for Sentinel QA — manage test cases from any AI assistant
Helps AI assistants access text content from bot-protected websites. MCP server that fetches HTML/markdown from sites with anti-automation measures using Scrapling.
MCP Server bridging to LSP servers for structured code introspection
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
MCP server for the Qiskit Code Assistant
AI cross-context synchronization layer — shared knowledge base MCP server for Claude Code, Copilot, and Codex
ceedling_mcp is an open-source MCP server that connects large language models to the Ceedling C unit testing framework, enabling advanced test automation and integration for C developers and testers.
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
MCP server that wraps the basecamp CLI.
MCP log viewer TUI
