mcp-pinecone alternatives

1

Pinecone Assistant MCP Server

An MCP server for retrieving information from Pinecone Assistant.

Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

37 7 MCP

2

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

3

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

4

LlamaCloud MCP Server

Connect multiple LlamaCloud indexes as tools for your MCP client.

LlamaCloud MCP Server is a TypeScript-based implementation of a Model Context Protocol server that allows users to connect multiple managed indexes from LlamaCloud as separate tools in MCP-compatible clients. Each tool is defined via command-line parameters, enabling flexible and dynamic access to different document indexes. The server automatically generates tool interfaces, each capable of querying its respective LlamaCloud index, with customizable parameters such as index name, description, and result limits. Designed for seamless integration, it works with clients like Claude Desktop, Windsurf, and Cursor.

82 17 MCP

5

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

6

tavily-search MCP server

A search server that integrates Tavily API with Model Context Protocol tools.

tavily-search MCP server provides an MCP-compliant server to perform search queries using the Tavily API. It returns search results in text format, including AI responses, URLs, and result titles. The server is designed for easy integration with clients like Claude Desktop or Cursor and supports both local and Docker-based deployment. It facilitates AI workflows by offering search functionality as part of a standardized protocol interface.

44 11 MCP

7

Semgrep MCP Server

A Model Context Protocol server powered by Semgrep for seamless code analysis integration.

Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.

611 54 MCP

8

Raindrop.io MCP Server

Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.

Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.

63 15 MCP

9

searchcraft-mcp-server

An MCP Server for managing Searchcraft clusters and powering AI-driven search administration.

searchcraft-mcp-server is a TypeScript/Node.js server that implements the Model Context Protocol (MCP) for Searchcraft clusters. It provides a suite of programmable tools for managing indexes, documents, federations, access keys, and analytics using plain English prompts via AI model clients. The server enables seamless interaction between AI interfaces like Claude Desktop and Searchcraft's administrative functions by exposing these operations as protocol-driven actions.

6 2 MCP

10

MCP Zotero

Model Context Protocol server for seamless Zotero integration with AI tools.

MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

137 17 MCP

11

Yuque-MCP-Server

Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.

Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.

31 13 MCP

12

Code Declaration Lookup MCP Server

Fast, language-agnostic code declaration search and lookup server via MCP.

Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.

2 1 MCP

13

Sourcerer MCP

Semantic code search & navigation MCP server for efficient AI agent context retrieval.

Sourcerer MCP provides a Model Context Protocol (MCP) server that enables AI agents to perform semantic code search and navigation. By indexing codebases at the function, class, and chunk level, it allows agents to retrieve only the necessary code snippets, greatly reducing token consumption. The tool integrates with Tree-sitter for language parsing and OpenAI for generating code embeddings, supporting advanced contextual code understanding without full file ingestion.

95 11 MCP

14

Confluence Communication Server MCP Server

Seamlessly interact with Confluence using standardized MCP tools.

Confluence Communication Server MCP Server is a TypeScript-based implementation that enables seamless interaction with Confluence through the Model Context Protocol. It provides tools for running CQL queries, retrieving, and updating Confluence page content, thus showcasing and adhering to core MCP concepts. The server is compatible with Claude Desktop and supports installation via Smithery, emphasizing ease of integration and automation for Confluence management tasks.

13 6 MCP

15

box-mcp-server

Expose your Box files to AI with a Model Context Protocol server.

box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.

10 11 MCP

16

Everything Search MCP Server

Fast, cross-platform file search via Model Context Protocol integration.

Everything Search MCP Server provides fast file and folder search capabilities across Windows, macOS, and Linux platforms as an MCP server. It leverages native search utilities such as the Everything SDK on Windows, mdfind on macOS, and locate/plocate on Linux. The tool exposes a standardized search interface with customizable parameters including query, sorting, and matching options. It is suitable for integration with AI clients or automation tools that follow the Model Context Protocol.

268 35 MCP

17

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

18

Dune Analytics MCP Server

Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

31 8 MCP

19

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

20

Vercel AI SDK Documentation MCP Agent

AI-powered documentation agent for Vercel AI SDK with Model Context Protocol support.

The Vercel AI SDK Documentation MCP Agent is a server implementing the Model Context Protocol to enable AI-powered search and conversational querying of the Vercel AI SDK documentation. It features natural language understanding, semantic search using FAISS, and session-based context management for in-depth assistance. Integration with popular MCP clients like Claude Desktop and Cursor ensures seamless use in developer workflows. Automated documentation indexing and a Gemini-powered agent enhance accuracy and contextuality of responses.

41 8 MCP

21

NCBI Literature Search MCP Server

Seamless PubMed literature search via Model Context Protocol server.

NCBI Literature Search MCP Server provides a Model Context Protocol (MCP) interface to search the vast PubMed database using natural language queries. It enables AI assistants to conduct comprehensive and advanced literature searches across biological and biomedical disciplines, returning metadata such as abstracts, author lists, MeSH terms, and DOIs. Designed for integration with AI tools, it supports advanced query capabilities and streamlines literature review and research discovery processes.

6 1 MCP

22

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

23

ArXiv MCP Server

Seamless AI access to arXiv papers via MCP interface

ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.

1,863 134 MCP

24

Chainlist MCP Server

Fast, structured EVM chain info for AI agents via the Model Context Protocol

Chainlist MCP Server enables AI agents and MCP-compatible clients to quickly access and search verified EVM blockchain data. It sources data from Chainlist.org and provides efficient REST-like tools for retrieving details by chain ID or searching by keyword. The server outputs structured Markdown responses, supporting AI context integration with tabulated RPC endpoints and explorers for clarity.

2 2 MCP

25

Kagi MCP Server

Integrate Kagi Search and Summarization as Model Context Protocol tools.

Kagi MCP Server enables easy integration of Kagi's search and summarization capabilities with AI systems via the Model Context Protocol. It facilitates tool-based queries such as searching web results or summarizing content, and offers setup instructions for various platforms including Claude Desktop. Users can install and configure the server through package managers, Smithery, or direct Python environments. The project provides configurable environment variables for API access and summarization engine selection, supporting both local development and production usage.

216 24 MCP

26

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

27

Bear MCP Server

MCP server for accessing and searching Bear Notes on macOS.

Bear MCP Server is an implementation of the Model Context Protocol that provides programmatic access to notes and tags stored in Bear Notes on macOS. It enables users to read, search, and list notes and tags via standardized MCP tools. The server connects to Bear's SQLite database and exposes essential commands for integration with AI models and workflows.

40 6 MCP

28

anki-mcp

MCP server for seamless integration with Anki via AnkiConnect.

An MCP server that bridges Anki flashcards with the Model Context Protocol, exposing AnkiConnect functionalities as standardized MCP tools. It organizes Anki actions into intuitive services covering decks, notes, cards, and models for easy access and automation. Designed for integration with AI assistants and other MCP-compatible clients, it enables operations like creating, modifying, and organizing flashcards through a unified protocol.

6 4 MCP

29

Mem0 MCP Server

Structured management of coding preferences using Mem0 and Model Context Protocol.

Mem0 MCP Server implements a Model Context Protocol-compliant server for storing, retrieving, and searching coding preferences. It integrates with Mem0 and offers tools for persistent management of code snippets, best practices, and technical documentation. The server exposes an SSE endpoint for clients like Cursor, enabling seamless access and interaction with coding context data.

506 104 MCP

30

docker-mcp

A powerful MCP server for seamless Docker container and compose stack management.

docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

419 57 MCP

31

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

32

WebSearch-MCP

Real-time web search for AI assistants via Model Context Protocol.

WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.

19 7 MCP

33

NyxDocs

MCP server for real-time cryptocurrency project documentation and insights.

NyxDocs is a Model Context Protocol (MCP) compatible server built in Python for managing and serving up-to-date documentation for cryptocurrency projects. It aggregates information from multiple sources such as CoinGecko, GitHub, GitBook, Notion, and official websites, providing real-time data and updates on blockchain ecosystems. Featuring tools for searching projects, retrieving detailed info, extracting documentation, and monitoring changes, it is tailored for developers and AI contexts needing access to accurate crypto documentation. The architecture leverages a FastMCP-based server core, automated document scrapers, and supports multi-blockchain environments.

3 3 MCP

34

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

35

CrateDocs MCP

MCP server for Rust crate documentation lookup and search

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

9 2 MCP

36

Unsplash MCP Server

Seamless Unsplash image integration via the Model Context Protocol.

Unsplash MCP Server provides a simple and robust interface to search and integrate high-quality Unsplash images through the Model Context Protocol (MCP). It offers advanced photo search capabilities with filters for keywords, color schemes, orientation, and sorting. Designed for easy integration with development environments such as Cursor and Smithery, it simplifies embedding Unsplash image search into AI and automation workflows.

186 20 MCP

37

Slite MCP Server

Bridge Slite notes with AI model context using the MCP standard.

Slite MCP Server implements the Model Context Protocol to interface with Slite's API, enabling seamless search, retrieval, and hierarchical browsing of workspace notes. It exposes standardized tools for searching notes, retrieving content by ID, and navigating note structures, making Slite content programmatically accessible to contextual AI pipelines. Built in Node.js and TypeScript, it is configurable and supports authentication via API key.

0 0 MCP

38

Alkemi MCP Server

Integrate Alkemi Data sources with MCP Clients for seamless, standardized data querying.

Alkemi MCP Server provides a STDIO wrapper for connecting Alkemi data sources—including Snowflake, Google BigQuery, and Databricks—with MCP Clients using the Model Context Protocol. It facilitates context sharing, database metadata management, and query generation through a standardized protocol endpoint. Shared MCP Servers allow teams to maintain consistent, high-quality data querying capabilities without needing to replicate schemas or query knowledge for each agent. Out-of-the-box integration with Claude Desktop and robust debugging tools are also included.

2 1 MCP

39

Ancestry MCP Server

MCP server for managing and interacting with GEDCOM genealogy files

Ancestry MCP Server is a Python-based server that implements the Model Context Protocol (MCP) to enable operations on GEDCOM (.ged) genealogy files. It allows for reading, parsing, listing, renaming, and searching within GEDCOM files, primarily used for family history research. The server supports integration with tools like Claude Desktop and provides a standardized interface for programmatic access to ancestry data. Operations are restricted to user-specified directories for data safety.

27 5 MCP

40

MCP-searxng

MCP server bridging agentic systems with SearXNG web search

MCP-searxng enables agentic systems to interface with web search engines via the SearXNG platform by implementing the Model Context Protocol. It supports both command-line and local server deployment, providing flexible integration options. Users can configure custom SearXNG server URLs and connect through clients like uvx or claude desktop. The tool simplifies access to structured web search within agentic workflows.

107 19 MCP

41

AllTrails MCP Server

MCP server for seamless AllTrails data access and integration

AllTrails MCP Server provides Model Context Protocol (MCP) compliant access to AllTrails hiking trail data, enabling AI tools to search for trails and retrieve detailed trail information. It supports searching by national park and fetching comprehensive details such as difficulty, length, elevation, ratings, and route types. The server communicates via standard input/output and is designed for easy integration with MCP-compatible clients like Claude Desktop. Installation is flexible, supporting both virtual environments and system Python setups.

6 6 MCP

42

Crypto Whitepapers MCP Server

Structured crypto whitepaper knowledge base and search server for AI agents.

Crypto Whitepapers MCP Server provides an MCP-compliant server that acts as a structured knowledge base of cryptocurrency project whitepapers for AI agents. It enables searching, loading, indexing, and querying of whitepaper PDFs while supporting integration with Claude Desktop via the Model Context Protocol. The tool implements interactive tools and prompts to help users and AI analyze, search, and extract insights from crypto whitepapers.

5 7 MCP

43

Apple Books MCP

Model Context Protocol server for integrating and managing Apple Books data with AI assistants.

Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

33 5 MCP

44

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

45

Memory MCP

A Model Context Protocol server for managing LLM conversation memories with intelligent context window caching.

Memory MCP provides a Model Context Protocol (MCP) server for logging, retrieving, and managing memories from large language model (LLM) conversations. It offers features such as context window caching, relevance scoring, and tag-based context retrieval, leveraging MongoDB for persistent storage. The system is designed to efficiently archive, score, and summarize conversational context, supporting external orchestration and advanced memory management tools. This enables seamless handling of conversation history and dynamic context for enhanced LLM applications.

10 6 MCP

46

MCP Web Research Server

Bring real-time web research and Google search capabilities into Claude using MCP.

MCP Web Research Server acts as a Model Context Protocol (MCP) server, seamlessly integrating web research functionalities with Claude Desktop. It enables Google search, webpage content extraction, research session tracking, and screenshot capture, all accessible directly from Claude. The server supports interactive and guided research sessions, exposing session data and screenshots as MCP resources for enhanced context-aware AI interactions.

284 73 MCP

47

Kafka Schema Registry MCP Server

MCP-compliant server for advanced Kafka Schema Registry management and integration.

Kafka Schema Registry MCP Server is a fully-compliant Model Context Protocol (MCP) server built with the FastMCP 2.8.0+ framework. It provides advanced schema context support, enables multi-registry management, and offers comprehensive schema export capabilities. The tool is designed for seamless integration with Claude Desktop and other MCP clients using JSON-RPC over stdio. It supports Docker-based deployment and includes features to streamline both administrator and end-user workflows.

26 7 MCP

48

mcp-trinv-server

MCP server for enhancing AI assistants with French cadastral and commune data search.

mcp-trinv-server is an implementation of the Model Context Protocol (MCP) designed to augment AI assistants like Claude and Gemini with advanced search capabilities. It enables searching for French communes based on name fragments and retrieving cadastral parcels within a specified commune by surface area. The tool integrates with the TRINV platform and provides standardized MCP integration for AI applications.

1 1 MCP

49

CVE-Search MCP Server

MCP server for querying and managing CVE-Search vulnerability data.

CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.

67 11 MCP

50

Mindmap MCP Server

Convert Markdown content into interactive mindmaps via an MCP-compliant server.

Mindmap MCP Server provides a Model Context Protocol (MCP) compatible service that transforms Markdown input into interactive mindmap visualizations. It supports command-line, Python, and Docker installation methods for flexibility across platforms. Designed to integrate with MCP clients like Claude Desktop, it ensures seamless Markdown-to-mindmap conversion using markmap under the hood. The server is intended for easy plug-and-play use in model-powered workflows that require structured, visual context formatting.

205 22 MCP

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