CRIC物业AI MCP Server alternatives

1

ApeRAG

Hybrid RAG platform with MCP integration for intelligent knowledge management

ApeRAG is a production-ready Retrieval-Augmented Generation (RAG) platform that integrates graph-based, vector, and full-text search capabilities. It enables the construction of knowledge graphs and supports MCP (Model Context Protocol), allowing AI assistants direct interaction with knowledge bases. Features include advanced document parsing, multimodal processing, intelligent agent workflows, and enterprise management tools. Deployment is streamlined via Docker and Kubernetes, with extensive support for customization and scalability.

920 96 MCP

2

Graphlit MCP Server

Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

369 49 MCP

3

Ragie Model Context Protocol Server

Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

81 18 MCP

4

Driflyte MCP Server

Bridging AI assistants with deep, topic-aware knowledge from web and code sources.

Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

9 2 MCP

5

Vectara MCP Server

Secure RAG server enabling seamless AI integration via Model Context Protocol.

Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.

25 8 MCP

6

Biel.ai MCP Server

Seamlessly connect IDEs to your company’s product documentation using an MCP server.

Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

2 2 MCP

7

@growi/mcp-server

Bridge GROWI wiki content to AI models with context-aware access and management.

@growi/mcp-server acts as a Model Context Protocol (MCP) server that enables AI models to access, search, and manage GROWI wiki content within an organization. It facilitates seamless connection between multiple GROWI instances and language models, enhancing information retrieval and knowledge management capabilities. The platform provides comprehensive tools for page, tag, comment, and revision management as well as share link and user activity tracking. Its flexible configuration allows simultaneous operation with several GROWI apps for scalable deployment.

10 7 MCP

8

RAG Documentation MCP Server

Vector-based documentation search and context augmentation for AI assistants

RAG Documentation MCP Server provides vector-based search and retrieval tools for documentation, enabling large language models to reference relevant context in their responses. It supports managing multiple documentation sources, semantic search, and real-time context delivery. Documentation can be indexed, searched, and managed with queueing and processing features, making it highly suitable for AI-driven assistants. Integration with Claude Desktop and support for Qdrant vector databases is also available.

238 29 MCP

9

Thales CDSP CRDP MCP Server

MCP server enabling secure data protection and revelation with Thales CipherTrust CRDP

Thales CDSP CRDP MCP Server implements the Model Context Protocol (MCP) to allow AI applications and LLMs to securely protect and reveal sensitive data via Thales CipherTrust RestFul Data Protection (CRDP) service. The server supports both stdio and HTTP transports, individual and bulk data operations, and robust versioning support. Features include health checks, metrics collection, and integration with protection policies and JWT-based authorization.

2 3 MCP

10

Campertunity MCP Server

Model Context Protocol server for AI-driven camping and outdoor recreation data

Implements the Model Context Protocol (MCP) to provide AI models with structured access to camping and outdoor recreation data. Offers tools for searching, filtering, and booking campgrounds and sites based on a wide range of criteria. Enhances data accuracy with AI and aggregates information from multiple sources, enabling dynamic, real-time queries and bookings. Ideal for integrating intelligent camping experiences into AI-driven applications.

11 4 MCP

11

MCP Local RAG

Privacy-first local semantic document search server for MCP clients.

MCP Local RAG is a privacy-preserving, local document search server designed for use with Model Context Protocol (MCP) clients such as Cursor, Codex, and Claude Code. It enables users to ingest and semantically search local documents without using external APIs or cloud services. All processing, including embedding generation and vector storage, is performed on the user's machine. The tool supports document ingestion, semantic search, file management, file deletion, and system status reporting through MCP.

10 3 MCP

12

Zettelkasten MCP Server

A Zettelkasten-based knowledge management system implementing the Model Context Protocol.

Zettelkasten MCP Server provides an implementation of the Zettelkasten note-taking methodology, enriched with bidirectional linking, semantic relationships, and categorization of notes. It enables creation, exploration, and synthesis of atomic knowledge using MCP for AI-assisted workflows. The system integrates with clients such as Claude and supports markdown, advanced search, and a structured prompt framework for large language models. The dual storage architecture and synchronous operation model ensure flexibility and reliability for managing personal or collaborative knowledge bases.

114 21 MCP

13

WebScraping.AI MCP Server

MCP server for advanced web scraping and AI-driven data extraction

WebScraping.AI MCP Server implements the Model Context Protocol to provide web data extraction and question answering functionalities. It integrates with WebScraping.AI to offer robust tools for retrieving, rendering, and parsing web content, including structured data and natural language answers from web pages. It supports JavaScript rendering, proxy management, device emulation, and custom extraction configurations, making it suitable for both individual and team deployments in AI-assisted workflows.

33 13 MCP

14

Octagon Deep Research MCP

AI-powered, enterprise-grade deep research server for MCP clients.

Octagon Deep Research MCP provides specialized AI-driven research and analysis via seamless integration with MCP-enabled applications. It offers comprehensive multi-source data aggregation, advanced analysis tools, and generates in-depth reports across various domains. The solution emphasizes high performance with no rate limits, enterprise-grade speed, and universal compatibility for teams needing thorough research capabilities.

70 12 MCP

15

GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

16

Godot MCP

A Model Context Protocol (MCP) server implementation using Godot and Node.js.

Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

1,071 124 MCP

17

Climatiq MCP Server

MCP server providing AI assistants with real-time carbon emissions calculations via Climatiq API.

Climatiq MCP Server implements the Model Context Protocol to bridge AI assistants with the Climatiq API for precise carbon emissions calculations. It exposes a set of tools for various emissions scenarios, including electricity use, travel, freight, and more. The server generates resource URIs for detailed emission reports and provides natural language explanations on climate impact. Configuration is streamlined via environment variables, CLI tools, or files, supporting easy integration with platforms like Claude Desktop.

6 8 MCP

18

Hive Intelligence MCP Server

Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

7 5 MCP

19

Utopia MCP Server

A simulation MCP Server for orchestrating smart home and lifestyle devices via AI Agents.

Utopia MCP Server simulates a wide range of smart home and lifestyle devices, enabling AI agents to interact with and control them through the Model Context Protocol. It provides endpoints for managing devices like lighting, climate control, audio, security, and household robots, allowing for complex, user-centered tasks to be automated without explicit workflow programming. The server is designed to facilitate the testing and experimentation of AI-driven orchestration among multiple simulated endpoints in household environments.

9 4 MCP

20

AIM Guard MCP

AI-powered security and safety server for Model Context Protocol environments.

AIM Guard MCP is a server implementing the Model Context Protocol (MCP), providing AI-powered security analysis and safety instruction tools tailored for AI agents. It offers features such as contextual security instructions, harmful content detection, API key scanning, and prompt injection detection, all designed to guard and protect interactions with various MCPs and external services. Built for fast integration, it connects with the AIM Intelligence API and is compatible with any MCP-compliant AI assistant.

13 11 MCP

21

Wazuh MCP Server

Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.

Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.

137 35 MCP

22

mcp-local-rag

Local RAG server for web search and context injection using Model Context Protocol.

mcp-local-rag is a local server implementing the Model Context Protocol (MCP) to provide retrieval-augmented generation (RAG) capabilities. It performs live web search, extracts relevant context using Google's MediaPipe Text Embedder, and supplies the information to large language models (LLMs) for enhanced, up-to-date responses. The tool is designed for easy local deployment, requiring no external APIs, and is compatible with multiple MCP clients. Security audits are available, and integration is demonstrated across several LLM platforms.

89 18 MCP

23

BGG MCP

Model Context Protocol server for BoardGameGeek data, collections, pricing, and recommendations.

BGG MCP provides access to BoardGameGeek data via the Model Context Protocol, enabling AI assistants to retrieve and filter information on board games, user collections, prices, and gameplay recommendations. Implemented in Go, it leverages BoardGameGeek APIs and includes advanced tools such as rule question answering and game trading discovery. Additional integrations include real-time price data from BoardGamePrices.co.uk and algorithmic recommendations from Recommend.Games, making it a comprehensive MCP server for gaming-related contexts.

21 5 MCP

24

IP Geolocation MCP Server

Enables IP-based geolocation for AI workflows via MCP-compliant tooling.

IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.

36 13 MCP

25

JADX-AI-MCP

Automated AI-powered APK analysis via Model Context Protocol.

JADX-AI-MCP is a fully automated server and plugin for integrating Model Context Protocol (MCP) with JADX for the purpose of analyzing Android APKs using large language models such as Claude. It streamlines vulnerability discovery, reverse engineering, and static analysis by leveraging LLMs in conjunction with established tools. The project facilitates real-time code review and efficient collaboration between AI and human analysts.

637 72 MCP

26

Think MCP Tool

Structured reasoning for agentic AI with the 'think' tool via Model Context Protocol.

Think MCP Tool provides an MCP (Model Context Protocol) server implementing the 'think' tool for structured reasoning in agentic AI workflows. Inspired by Anthropic's research, it enables AI agents to pause and explicitly record thoughts during complex, multi-step problem solving without altering the environment. The system enhances sequential decision-making, policy compliance, and tool output analysis, and offers advanced extensions for criticism, planning, and searching. Suitable for integration with Claude or other agentic large language models.

80 13 MCP

27

Raygun MCP Server

Access and interact with Raygun crash reporting data via Model Context Protocol for AI assistants.

Raygun MCP Server provides a remote MCP endpoint that enables AI assistants to securely access, analyze, and manage crash reporting and real user monitoring data from Raygun through natural language conversations. It supports various AI tools and assistants, allowing users to investigate errors, monitor deployments, track user sessions, and gather performance insights seamlessly. Integration is streamlined with step-by-step guides for connecting through multiple popular AI environments.

19 13 MCP

28

Agentic Long-Term Memory with Notion Integration

Production-ready agentic long-term memory and Notion integration with Model Context Protocol support.

Agentic Long-Term Memory with Notion Integration enables AI agents to incorporate advanced long-term memory capabilities using both vector and graph databases. It offers comprehensive Notion workspace integration along with a production-ready Model Context Protocol (MCP) server supporting HTTP and stdio transports. The tool facilitates context management, tool discovery, and advanced function chaining for complex agentic workflows.

4 2 MCP

29

Himalayas Remote Jobs MCP Server

Real-time remote job and company search via MCP for AI assistants.

Provides a public Model Context Protocol (MCP) server that enables AI assistants to access and search thousands of remote job listings and company information from Himalayas.app. Offers structured tools for advanced job and company search, including filters for keywords, location, and remote eligibility. Supports integration with popular AI desktops like Claude, Cursor, and Windsurf through simple configuration. Features OAuth authentication for secure access and real-time results.

12 2 MCP

30

Aiwen MCP Server for IP Geolocation

High-precision IP geolocation and risk analysis via MCP-compatible API server.

Provides an MCP (Model Context Protocol) server interface for Aiwen Technology’s high-precision IP location services, offering a range of geolocation, network, risk, and identity APIs compatible with AI context standards. Supports detailed IP information retrieval, including geolocation to city, district, or street level, network characteristics, industry classification, risk profiling, and user authenticity analysis. Enables seamless AI model integration and context-aware processing by following the MCP protocol.

4 3 MCP

31

MCP Server for the RAG Web Browser Actor

Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.

Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.

194 25 MCP

32

MCP Tic-Tac-Toe

A Model Context Protocol server for playing and analyzing tic-tac-toe games through standardized tool interfaces.

MCP Tic-Tac-Toe is a server implementation that provides a complete set of MCP tools for playing, managing, and analyzing tic-tac-toe games. It supports interactions with AI assistants such as Claude, enabling features like creating multiple parallel sessions, making moves, providing strategic analysis, and managing game context. The server is designed for easy integration with clients through various transport methods, including stdio and SSE, and supports seamless AI-human collaboration.

2 1 MCP

33

OpenZIM MCP Server

Transforms ZIM archives into intelligent, structured knowledge engines for LLMs.

OpenZIM MCP Server provides structured, intelligent access to ZIM-format knowledge bases, enabling large language models to efficiently search, navigate, and understand content in offline archives. Dual operation modes allow support for both advanced and simple LLM integrations. It features smart navigation by namespace, context-aware discovery, intelligent search, and relationship mapping to optimize knowledge extraction and utilization.

8 2 MCP

34

OP.GG MCP Server

Seamlessly connect OP.GG data with AI agents via the Model Context Protocol.

OP.GG MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide standardized access to OP.GG data for AI agents and platforms. It enables retrieval of a wide range of real-time data from games like League of Legends, Teamfight Tactics, and Valorant through a unified interface. The server supports integration using MCP-compatible clients and simplifies remote data access for model-based applications. Its flexible tools cover champion statistics, match histories, esports schedules, and in-game leaderboards.

46 12 MCP

35

文颜 MCP Server (Wenyan MCP Server)

AI-powered tool for publishing and formatting Markdown articles to WeChat official accounts via MCP.

文颜 MCP Server is a server component based on the Model Context Protocol (MCP) that enables automated publishing and formatting of Markdown articles to the WeChat Official Account drafts. It integrates with AI tools and leverages a theming system shared with other Wenyan products to beautify content. The tool is designed for multi-platform use and supports integration with local, CI/CD, and Docker-based AI toolchains, offering seamless automation for article management and publication.

907 101 MCP

36

MCP-timeserver

A simple MCP server providing date and time information to agentic systems.

MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.

39 17 MCP

37

MemoryMesh

A knowledge graph server for structured AI memory and context management.

MemoryMesh is a knowledge graph server designed to help AI models maintain structured, consistent memory, especially for interactive storytelling and RPG contexts. It is based on the Model Context Protocol (MCP), as explicitly stated, and retains core MCP server functionalities. By utilizing dynamic, schema-based configuration, the server enables creation and management of nodes and relationships, offering comprehensive tools for data integrity, feedback, and event tracking. MemoryMesh emphasizes flexibility, supporting both predefined and dynamic schemas for guiding AI interactions.

313 43 MCP

38

domain-lookup-mcp

MCP server for domain name lookup using RDAP and WHOIS.

Provides an MCP-compliant server that allows clients to perform domain name lookups via RDAP and WHOIS protocols. The tool is built in Go and can be directly integrated with any MCP client configuration. It automates the retrieval of domain registration details, streamlining the process of accessing authoritative domain information.

5 2 MCP

39

SafeDep VET

Enterprise-grade open source software supply chain security with MCP capabilities.

SafeDep VET is an open source tool that provides supply chain security for open source software, featuring advanced software composition analysis and policy-as-code driven security enforcement. It supports multiple package ecosystems and integrates with CI/CD pipelines. Notably, it offers an MCP (Model Context Protocol) server mode to vet open source packages arising from AI-suggested code, and includes agent-based querying and scan result analysis powered by AI. The tool enables real-time malicious package detection through cloud integration and prioritizes actionable insights by analyzing actual code usage.

829 68 MCP

40

AFL MCP Server

MCP-compatible server for comprehensive AFL data and analytics

AFL MCP Server is a Model Context Protocol-compatible backend that serves detailed Australian Football League data via the Squiggle API. It offers standardized access to live scores, historical match results, team information, rankings, tips, projections, and advanced analytics. Designed for integration with MCP clients such as Claude for Desktop, it exposes a suite of tools for retrieving game, standings, and team data. The server streamlines AFL data retrieval through automated protocols, facilitating robust AI-powered workflows.

14 3 MCP

41

FirstCycling MCP Server

Professional cycling data API for conversational AI via MCP.

FirstCycling MCP Server provides structured access to comprehensive professional cycling data through the Model Context Protocol. It enables retrieval of cyclist profiles, race results, historical race data, and team information, supporting detailed sports analysis and research. The server integrates the FirstCycling API for real-time data scraping and exposes specialized MCP tools for querying race and rider statistics.

17 8 MCP

42

OSP Marketing Tools for LLMs

Comprehensive marketing content creation and optimization tools for LLMs using MCP.

OSP Marketing Tools for LLMs offers a suite of marketing content creation and optimization utilities designed to operate with Large Language Models that support the Model Context Protocol (MCP). Built on Open Strategy Partners’ proprietary methodologies, it provides structured workflows for product value mapping, metadata generation, content editing, technical writing, and SEO guidance. The suite includes features for persona development, value case documentation, semantic editing, and technical writing best practices, enabling consistent and high-quality marketing outputs. Designed to integrate seamlessly with MCP-compatible LLM clients, it streamlines complex marketing processes and empowers efficient collaboration across technical and non-technical teams.

252 40 MCP

43

MCP RSS Aggregator

Fetch and read RSS feeds in Claude Desktop via Model Context Protocol.

MCP RSS Aggregator enables Claude Desktop to access and display content from user-selected RSS feeds using the Model Context Protocol (MCP). It supports OPML and JSON formats for managing feed configurations, allowing users to import or customize their subscriptions easily. The tool organizes feeds by categories, filters content from different sources, and presents articles with well-formatted titles, snippets, and links. Integration with Claude Desktop allows seamless aggregation and delivery of real-time news content for users.

16 9 MCP

44

Trieve

All-in-one solution for search, recommendations, and RAG.

Trieve offers a platform for semantic search, recommendations, and retrieval-augmented generation (RAG). It supports dense vector search, typo-tolerant neural search, sub-sentence highlighting, and integrates with a variety of embedding models. Trieve can be self-hosted and features APIs for context management with LLMs, including Bring Your Own Model and managed RAG endpoints. Full documentation and SDKs are available for streamlined integration.

2,555 229 MCP

45

prediction-market-mcp

Unified real-time prediction market data via MCP.

prediction-market-mcp is a Model Context Protocol (MCP) server that aggregates real-time prediction market data from multiple platforms, including Polymarket, PredictIt, and Kalshi. It enables users to query prediction markets for live odds, prices, and market information through a consistent and unified API interface. The server provides robust error handling, keyword filtering, and type-safe TypeScript implementation for seamless integration with MCP-compatible clients.

10 5 MCP

46

Agentset MCP

Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

22 10 MCP

47

cryptopanic-mcp-server

Provides real-time cryptocurrency news to AI agents via Model Context Protocol.

cryptopanic-mcp-server delivers up-to-date cryptocurrency news to AI agents by integrating with the CryptoPanic API. It exposes an MCP-compliant server with a tool for fetching news or media headlines, supporting customization via API keys and configuration files. The implementation is intended for streamlined context integration into AI workflows, enhancing agent awareness with current crypto market updates.

59 23 MCP

48

Airtable MCP Server

Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

45 17 MCP

49

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

50

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

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