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MCP tools

MCP Connectors

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    Local-first memory for coding agents. Discovers the memory, instructions, and rules Claude Code, Codex, and Cursor already wrote on your machine, combines them into one canonical Markdown tree, and serves grounded, cited recall through tools like ask_memory and canonical_memory.
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    MIT
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    Enables AI agents to convert files, render web pages to markdown/PDF/screenshots, search the live web, extract structured data, ingest RAG-ready chunks, and monitor pages for changes through a single API key.
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    MIT
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    Embedded memory and retrieval engine for AI agents, providing local-first memory with MCP support for multi-agent access control.
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    MIT
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    A self-hosted, MIT-licensed MCP server that securely connects private documents and markdown files to LLMs. It provides a lightweight, local-first RAG infrastructure compatible with any MCP-enabled AI client or framework.
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    MIT
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    Cited Q&A and drift detection over your own markdown notes: answers cite exact passages, cited passages are hashed at citation time, and a scheduled verify flags when a source changed under a conclusion already drawn from it. Local-first, zero runtime dependencies (node:sqlite); tools: chamber_ask, chamber_verify, chamber_corpus.
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    MIT
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    A scraper tool that leverages the Oxylabs Web Scraper API to fetch and process web content with flexible options for parsing and rendering pages, enabling efficient content extraction from complex websites.
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    MIT
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    Adds persistent memory to AI assistants by connecting to the Memphora cloud platform, allowing them to store and recall facts across conversations. It enables tools for searching memories, extracting insights, and maintaining long-term user context and preferences.
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    MIT
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    Official MCP server connecting hosts to a June knowledge graph for agent memory, search, and cited answers.
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    MIT
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    An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
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    MIT
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    The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.
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    MIT
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    MCP server for the Graphite Financial Knowledge Graph, enabling natural language queries about companies, supply chains, executives, regulations, and patents via MCP-compatible clients.
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    MIT
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    Enables MCP-compatible AI agents to connect to SoluCortex projects, recall relevant technical decisions, conventions, risks, and architecture before working, and record new memories afterward.
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    MIT
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    Gives your AI persistent memory across conversations. Stores facts automatically, finds them by meaning using hybrid search with query expansion, and organizes everything into topics without manual tagging.
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    MIT
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    An MCP server that enables web search and page content retrieval via the Keenable API, supporting search with filters and fetching clean markdown content from indexed URLs.
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    MIT
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    基于MCP协议的知识库服务器,内置LLM层,提供结构化知识存储、语义搜索和主动知识推送,支持通过工具进行知识学习、搜索和关联推理。
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    MIT
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    Deterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust, Go, Java, C#.
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    Apache 2.0