char-index-mcp alternatives

1

mcp-server-sql-analyzer

MCP server for SQL analysis, linting, and dialect conversion.

Provides standardized MCP server capabilities for analyzing, linting, and converting SQL queries across multiple dialects using SQLGlot. Supports syntactic validation, dialect transpilation, extraction of table and column references, and offers tools for understanding query structures. Facilitates seamless workflow integration with AI assistants through a set of MCP tools.

26 5 MCP

2

AI Distiller (aid)

Efficient codebase summarization and context extraction for AI code generation.

AI Distiller enables efficient distillation of large codebases by extracting essential context, such as public interfaces and data types, discarding method implementations and non-public details by default. It helps AI agents like Claude, Cursor, and other MCP-compatible tools understand project architecture more accurately, reducing hallucinations and code errors. With configurable CLI options, it generates condensed contexts that fit within AI model limitations, improving code generation accuracy and integration with the Model Context Protocol.

106 12 MCP

3

Token Optimizer MCP

Efficient token reduction for context window optimization in AI workflows

Token Optimizer MCP is a server that reduces context window usage for AI tools by intelligently caching, compressing, and externally storing large content. It offers smart replacements for standard file and API operations, integrating seamlessly with tools such as Claude Desktop and other code assistants. The tool employs persistent caching with SQLite, high-ratio Brotli compression, and precise token counting to optimize both accuracy and efficiency. Production results indicate consistent 60-90% token usage reduction over tens of thousands of operations.

6 2 MCP

4

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

5

APISIX Model Context Protocol Server

Bridge LLMs with APISIX for natural language API management.

APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

29 9 MCP

6

Memcord

Privacy-first, self-hosted chat memory and context management for Claude and AI applications.

Memcord serves as a self-hosted MCP (Model Context Protocol) server that enables users to securely organize, summarize, and search through their chat history with AI, especially for Claude, without compromising privacy. It offers intelligent memory management, conversation auto-summarization, deduplication, and context merging to build a searchable knowledge base across multiple conversations. Memcord also integrates seamlessly with Claude Desktop, VSCode, and supports various installation methods for flexibility.

18 5 MCP

7

Neovim MCP Server

Connect AI assistants to Neovim via the Model Context Protocol.

Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

20 3 MCP

8

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

9

Unitree Go2 MCP Server

Control Unitree Go2 robot using natural language via Model Context Protocol.

Unitree Go2 MCP Server is a server implementation based on the Model Context Protocol (MCP) that enables natural language command of the Unitree Go2 robot, interpreted by a large language model and translated into ROS2 instructions. This tool bridges AI-driven intent parsing with robot control through well-defined MCP functions. It includes configuration instructions for ROS2 environments, flexible integration with Claude Desktop and other AI systems, and direct interaction with the robot using contextual commands.

55 10 MCP

10

App Store Connect MCP Server

Conversational AI server for App Store Connect management via MCP

App Store Connect MCP Server is a Model Context Protocol (MCP) compliant server that enables seamless interaction with Apple's App Store Connect API. It empowers users to manage apps, beta testers, devices, bundle IDs, app metadata, and capabilities through natural language. The server supports secure authentication, real-time analytics, and localization management, streamlining development, DevOps, and product workflows.

139 23 MCP

11

GitMCP

Instantly turn any GitHub repository into an AI-ready documentation hub.

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

6,916 571 MCP

12

Claude Debugs For You

Enable LLMs like Claude to interactively debug code via a VS Code extension and MCP server.

Claude Debugs For You provides an MCP-compliant server and Visual Studio Code extension that allow large language models, such as Claude, to perform interactive debugging and code evaluation. It supports language-agnostic debugging through the VS Code debugger and integrates easily with various clients, including Claude Desktop and Continue. The tool provides both stdio and SSE server support for flexible connectivity. Users can quickly install, configure, and leverage LLM-driven debugging workflows across multiple environments.

463 44 MCP

13

mcp-image-compression

High-performance image compression microservice based on MCP architecture.

mcp-image-compression is a microservice designed for fast and efficient compression of images, supporting multiple mainstream formats such as JPEG, PNG, WebP, and AVIF. Built with the Model Context Protocol (MCP) architecture, it enables developers to optimize image resources for better web and app performance. The service features smart compression, batch processing, and customizable quality control, suitable for both offline and online workflows.

28 6 MCP

14

VikingDB MCP Server

MCP server for managing and searching VikingDB vector databases.

VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

3 5 MCP

15

MongoDB MCP Server

A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

172 33 MCP

16

CICADA

Structured, contextual code intelligence for AI assistants on Elixir projects.

CICADA is an MCP server that provides AI assistants with AST-level, structured access to Elixir codebases. It enables code analysis, semantic search, module and function discovery, and git/PR attribution for deeper contextual understanding. CICADA supports multiple editors and offers features like dependency mapping, dead-code detection, and local indexing with strong privacy guarantees.

11 2 MCP

17

mcp-pinecone

A Pinecone-backed Model Context Protocol server for semantic search and document management.

mcp-pinecone implements a Model Context Protocol (MCP) server that integrates with Pinecone indexes for use with clients such as Claude Desktop. It provides powerful tools for semantic search, document reading, listing, and processing within a Pinecone vector database. The server supports operations like embedding, chunking, and upserting records, enabling contextual management of large document sets. Designed for ease of installation and interoperability via the MCP standard.

150 35 MCP

18

MCP SQLite Server

A Model Context Protocol server for interacting with SQLite databases.

MCP SQLite Server enables comprehensive interaction with SQLite databases via the Model Context Protocol. It allows users to perform full CRUD operations, explore database schema, and execute custom SQL queries in a standardized, MCP-compatible way. Designed for integration with modern IDEs, it streamlines database management and introspection for developers and AI model workflows.

65 10 MCP

19

Snowflake MCP Server

MCP server enabling secure and structured Snowflake database interaction with AI tools.

Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

170 75 MCP

20

Desktop Commander MCP

AI-powered local tool for managing files, processes, and terminals using Model Context Protocol.

Desktop Commander MCP enables users to search, manage files, run terminal commands, and automate development tasks through Model Context Protocol (MCP). It offers interactive process management, in-memory code execution, advanced file operations, pattern-based file editing, and comprehensive audit logging. Built on top of MCP Filesystem Server, it integrates multiple developer tools within a conversational interface, supporting enhanced process control and efficient workflow automation.

4,883 541 MCP

21

VictoriaLogs MCP Server

MCP server enabling advanced read-only access and observability for VictoriaLogs

VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

30 7 MCP

22

dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

23

CockroachDB MCP Server

Natural language interface for managing CockroachDB via MCP protocol

CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

6 3 MCP

24

1mcp-app/agent

A unified server that aggregates and manages multiple Model Context Protocol servers.

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

96 14 MCP

25

mcp-server-templates

Deploy Model Context Protocol servers instantly with zero configuration.

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

5 1 MCP

26

vrchat-mcp

A Model Context Protocol (MCP) server for structured VRChat API interaction.

vrchat-mcp is an MCP server that enables structured and standardized interactions with the VRChat API. It offers a suite of tools to access and manage user, friend, avatar, world, group, favorite, invite, and notification data within VRChat. The server is designed for easy integration with applications like Claude Desktop and supports authentication, retrieval, and manipulation of key VRChat entities. It provides simple deployment and debugging options for developers.

45 6 MCP

27

YDB MCP

MCP server for AI-powered natural language database operations on YDB.

YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

24 7 MCP

28

MCP Pointer

Point to browser DOM elements for agentic coding tools via MCP.

MCP Pointer is a tool that combines a Chrome Extension and a local MCP Server to bridge browser DOM element selection with agentic coding tools through the Model Context Protocol. Users can visually select DOM elements in the browser using Option+Click, capturing rich contextual information such as text, CSS, and attributes. The MCP server exposes this data to AI-powered tools like Claude Code, Cursor, and Windsurf via a standardized protocol. This enables seamless, real-time transfer of in-browser context to AI coding assistants.

519 47 MCP

29

kill-process-mcp

Natural language interface to manage and terminate system processes across platforms.

kill-process-mcp is a cross-platform Model Context Protocol (MCP) server that enables users to list and kill operating system processes using natural language queries. It integrates with MCP-compatible LLM clients such as Claude Desktop and Cursor, offering tools for process inspection and termination. Designed for ease of use, it exposes commands to enumerate and manage processes by filtering, sorting, and executing termination based on contextual instructions.

10 5 MCP

30

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

31

Open Data Model Context Protocol

Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

140 21 MCP

32

mcp-server-docker

Natural language management of Docker containers via Model Context Protocol.

mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

648 86 MCP

33

codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

34

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

35

books-mcp-server

A server implementation supporting Model Context Protocol integration with cherry-studio.

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

5 2 MCP

36

MCP K8S Go

Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

356 50 MCP

37

Nocodb MCP Server

Natural language access and management for NocoDB using the Model Context Protocol.

Nocodb MCP Server enables seamless CRUD operations and schema management on NocoDB databases via the Model Context Protocol (MCP). It allows users to perform database actions such as creating, reading, updating, deleting records, and altering table structures through natural language commands. The tool integrates easily with external platforms like Claude Desktop and supports both API and CLI usage. TypeScript-based, it provides modern maintainability and compatibility enhancements.

54 22 MCP

38

MongoDB Lens

Natural language MongoDB access via a local MCP server.

MongoDB Lens offers a local Model Context Protocol (MCP) server that enables full-featured interaction with MongoDB databases using natural language queries through large language models. It provides tools for querying, running aggregations, schema analysis, performance optimization, and more. The server supports integration with a variety of MCP clients, making MongoDB data accessible and manageable by natural language commands. Users benefit from features such as connection aliasing, schema inference, and data protection mechanisms for sensitive operations.

191 24 MCP

39

OpenMCP

A standard and registry for converting web APIs into MCP servers.

OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

252 27 MCP

40

Weaviate MCP Server

A server implementation for the Model Context Protocol (MCP) built on Weaviate.

Weaviate MCP Server provides a backend implementation of the Model Context Protocol, enabling interaction with Weaviate for managing, inserting, and querying context objects. The server facilitates object insertion and hybrid search retrieval, supporting context-driven workflows required for LLM orchestration and memory management. It includes tools for building and running a client application, showcasing integration with Weaviate's vector database.

157 38 MCP

41

Aiven MCP Server

Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

11 11 MCP

42

Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

43

io.github.cr7258/elasticsearch-mcp-server

MCP server for seamless interaction with Elasticsearch and OpenSearch.

Implements a Model Context Protocol (MCP) server enabling robust integration with Elasticsearch and OpenSearch clusters. Offers a standardized set of tools for managing indices, documents, clusters, data streams, and aliases, along with configurable authentication and operation restrictions. Supports secure access and flexible configuration via environment variables, ensuring safe and customizable operations for various deployment scenarios.

223 47 MCP

44

Snowflake Cortex AI Model Context Protocol (MCP) Server

Tooling and orchestration for Snowflake Cortex AI via Model Context Protocol.

Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.

176 60 MCP

45

Fireproof MCP Database Server

A JSON document store server implementation based on the Model Context Protocol for AI integration.

Implements a JSON document store that supports CRUD operations and field-based sorting, designed to work as a server within the Model Context Protocol (MCP) ecosystem. Offers integration with the Fireproof database and is intended for use cases such as Claude Desktop. Provides tooling and instructions for setup, configuration, and debugging using the MCP Inspector.

29 10 MCP

46

MCP-Twikit

A Model Context Protocol server for Twitter search and interaction.

MCP-Twikit is an MCP-compliant server that enables interaction with the Twitter platform via the Model Context Protocol. It supports functions such as searching tweets, analyzing sentiments across accounts, and retrieving a user's Twitter timeline. The tool is designed for integration with AI clients to facilitate structured, context-aware access to Twitter data.

211 27 MCP

47

mcp-k8s-eye

Kubernetes management and diagnostics tool with MCP protocol support.

mcp-k8s-eye enables users to manage and analyze Kubernetes clusters using standardized Model Context Protocol (MCP) interfaces. It offers comprehensive resource operations, diagnostics, and resource usage monitoring through both stdio and SSE transports. Supporting generic and custom resource management along with advanced diagnostic tooling, it is geared for integration with AI clients and other MCP consumers.

26 9 MCP

48

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

49

Firefly MCP Server

Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

15 6 MCP

50

InfluxDB MCP Server

Expose InfluxDB data and tools to AI models via the Model Context Protocol.

InfluxDB MCP Server is a Model Context Protocol (MCP) server that enables AI models to access, write, and manage time-series data stored in InfluxDB instances through a standardized API. It provides resources for organizations, buckets, and measurements, as well as tools for running Flux queries, writing data, and managing InfluxDB objects. The server includes prompt templates for common query operations and supports seamless integration with AI platforms like Claude Desktop. Easy installation options are offered via Smithery, npx, npm, or from source.

27 12 MCP

Search AI Tools

char-index-mcp - Alternatives & Competitors

Ranked by Relevance