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    Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.
    12
    3
    Apache 2.0
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    A dependency-free MCP server that reads Reddit through its RSS feeds, enabling search, browsing subreddits, and reading post comments without any API keys or authentication.
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    MIT
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    Enables fetching and searching real-time finance news from major RSS feeds like Bloomberg, WSJ, CNBC, Seeking Alpha, MarketWatch, and Financial Times.
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    Persistent, graph-based memory for Roo Code via the Model Context Protocol, enabling structured knowledge management with semantic search and context window control.
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    MIT
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    Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
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    MIT
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    An MCP server that enables searching for Rust crates and their documentation from docs.rs, allowing AI agents to find required crates and access the latest documentation.
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    MIT
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    Model Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimized vector search database.
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    Apache 2.0
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    Enables digital marketers to fetch, search, and filter RSS blog feeds from multiple sources, with tools for managing feeds and searching across categories and date ranges.
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    Apache 2.0
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    MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content
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    Apache 2.0
  • F
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    A Model Context Protocol server that provides AI agents with read-only access to Rossum API resources (queues, schemas, hooks, workspaces) for analysis purposes.
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    Fetch, filter, and search RSS blog feeds to monitor industry content, track competitor blogs, and discover trending topics. 8 tools for feed management, article search, and content monitoring.
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    MIT
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    Enables language models to fetch and parse standard RSS/Atom feeds and RSSHub content, with multi-instance support to improve retrieval success rates.
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    Apache 2.0
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    Enables natural language exploration and management of Volcengine TOS storage, allowing users to list buckets, browse objects, and retrieve file contents. It supports content retrieval for various data types including text, images, and video files.
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