The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Enables fetching relevant content and embeddings from Supavec via the Model Context Protocol, allowing AI assistants like Claude to access vector search capabilities.

An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.

An MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.

A server that allows users to manage documents and perform Claude-powered searches using Needle through the Claude Desktop application.

The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.

The Fibery MCP server provides integration between Fibery and any LLM provider supporting the MCP protocol (e.g., Claude for Desktop), allowing you to explore Fibery Workspace Schema, query databases, create and update entities using natural language.

Connect your Sanity content to AI agents. Create, update, and explore structured content using Claude, Cursor, and VS Code via the Model Context Protocol. Transform content operations from complex queries to simple conversations—giving your team superpowers without sacrificing structure.

An MCP server that connects to Tana's Input API, allowing Large Language Models and other MCP clients to create and manipulate data in Tana workspaces.

An MCP server that enables saving and sharing Claude Desktop conversations, allowing users to store chats privately or make them public through a web interface.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

MCP Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

An MCP server that allows LLMs to create structured Xmind mind maps with hierarchical topic structures, supporting features like notes, labels, and markers.

A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.

A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.

A Model Context Protocol server that enables AI agents to interact with local Logseq knowledge graphs, supporting operations like creating/editing pages and blocks, searching content, and managing journal entries.

The Cursor10x Memory System creates a persistent memory layer for AI assistants (specifically Claude), enabling them to retain and recall short-term, long-term and episodic memory on autonomously.

An MCP server for navigating thought processes using branches, supporting thought cross-references and priority tracking to enhance insight generation and structured idea exploration.

Provides tools for listing and retrieving content from different knowledge bases using semantic search capabilities.

A Model Context Protocol (MCP) server that connects GraphDB's SPARQL endpoints and Ollama models to Claude, enabling Claude to query and manipulate ontology data while leveraging various AI models.

This MCP server aids users in searching and analyzing their photo library by location, labels, and people, offering functionalities like photo analysis and fuzzy matching for enhanced photo management.

Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.

Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.

MCP server for "taming the Claude" with structured task queues.

Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation, file structure validation, and type-safe operations.

Provides tools for interacting with Targetprocess, a project management and agile planning platform, enabling AI assistants to search, create, and update project entities with proper validation.

Interact with the NEAR blockchain through MCP calls

A server that enables LLMs to programmatically interact with Logseq knowledge graphs, allowing creation and management of pages and blocks.

A customized MCP memory server that enables creation and management of a knowledge graph with features like custom memory paths and timestamping for capturing interactions via language models.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

A Model Context Protocol server that enables Claude and other AI assistants to access and update Kintone data through natural language commands, supporting operations like record management, file handling, app administration, and space collaboration.

Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md

The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.

A server for connecting to a local ComfyUI instance that enables storing and summarizing notes with custom URI scheme support.

A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.

A Model Context Protocol server that provides LLMs with access to Valyu's knowledge retrieval and feedback APIs for searching proprietary/web sources and submitting transaction feedback.

Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.

Node.js server implementing Model Context Protocol that enables interaction with TaskWarrior through natural language to view, filter, add, and complete tasks.

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

interactive-mcp

A Model Context Protocol (MCP) server that provides tools for managing todo items, including creation, updating, completion, deletion, searching, and summarizing tasks.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

A Model Context Protocol (MCP) server that exposes the official Notion SDK, allowing AI models to interact with Notion workspaces.

Enables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.

AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.

Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.

A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.

A CLI tool that runs a Model Context Protocol server over stdio, enabling interaction with specification documents like business requirements, product requirements, and user stories for the Specif-ai platform.

An MCP server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question for more comprehensive answers.

A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.

Memory bank with Server as SSH support for central knowledge base

A TypeScript tool that ranks files in your codebase by importance, tracks dependencies, and provides file summaries to help understand code structure through Cursor's Model Context Protocol.

A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.

A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.

Implements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.

Integrates Productboard API into agentic workflows, allowing interaction with companies, components, features, notes, and products from the Productboard platform.

A server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine to tackle complex reasoning tasks.

A memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.

A Python package that enables LLM models to interact with Memos server through the Model Context Protocol interface, allowing search, creation, retrieval, and management of memos.

An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing history, and productivity patterns.

Enhances Claude AI with persistent memory storage for Infrastructure-as-Code components, supporting version tracking and relationship mapping for Terraform and Ansible resources.

Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.

Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

A high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.

A Model Context Protocol server that enables AI assistants like Claude to interact with Outline document services, supporting document searching, reading, creation, editing, and comment management.

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

An MCP server implementation that integrates with SiYuan Note system, enabling AI models to access and manipulate note data through comprehensive commands for notebook management, document operations, and content manipulation.

A Model Context Protocol server that provides Claude with a dedicated space for structured thinking during complex problem-solving tasks, helping improve its reasoning capabilities.

A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.

This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama

Enables vector similarity search and serving of Svelte documentation via the MCP protocol, with support for local caching and multiple llms.txt documentation formats.

Cline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.

A Model Context Protocol server that enables AI assistants to interact with Confluence content, supporting operations like retrieving, searching, creating, and updating pages and spaces.

A simple MCP server that recalls and saves memories from and to Apple Notes.

A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.

A Model Context Protocol server that enables AI models to interact with SourceSync.ai's knowledge management platform for managing documents, ingesting content from various sources, and performing semantic searches.

An MCP server that enables LLMs to understand and work with TypeScript APIs they haven't been trained on by providing structured access to TypeScript type definitions and documentation.

This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.

A simple note-taking MCP server that stores notes and can generate summaries of stored content.

A model context protocol server that allows interaction with TriliumNext Notes, providing tools to create, search, retrieve, update, and delete notes through natural language commands.

A Model Context Protocol server that enables AI assistants to interact with the Omi API for retrieving and creating conversations and memories for users.

A Model Context Protocol server that allows AI applications to interact with Kibela knowledge bases, enabling users to search, create, update, and organize content through natural language.

An AI-powered goal management system that transforms traditional goal tracking into storytelling, helping users focus on one goal at a time with personalized narratives and insights that increase motivation and achievement.

This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things with Neo4j and your Aura account.

A Model Context Protocol server that reduces token consumption by efficiently caching data between language model interactions, automatically storing and retrieving information to minimize redundant token usage.

A server that connects Claude to your documentation via Inkeep's API, enabling AI-powered interactions with your documentation content.

A Model Context Protocol server that provides tools for programmatically managing Airtable bases, tables, fields, and records through Claude Desktop or other MCP clients.

An official AI Model Context Protocol server that enables AI assistants to interact with Dart project management by creating/managing tasks and documents through prompts and tools.

A Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.

An MCP server that connects Claude to BrianKnows' blockchain knowledge base, allowing users to search for blockchain/DeFi information and interact with a specialized agent across multiple knowledge bases.

An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.

Transform your non-existent or unreadable docs into an intelligent, searchable knowledge base that actually answers those 'basic questions' before they're asked.

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. All functionality can be served via it's API and the API supports MCP. Docs: https://neuml.github.io/txtai/api/mcp/