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    Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.
    10
    11 npm
    MIT
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    Generates a daily standup note from GitLab merge request or GitHub pull request state: what is ready to merge, what is blocked, what is stale, and what is waiting on your review. When CI is red it opens the failed job's log and reports the error lines, so the note says why the pipeline failed rather than just that it did.
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    37 npm
    MIT
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    Domain availability + registrar price comparison across 52 TLDs — see not just if a domain is free, but where it's cheapest (7 registrars, renewal traps exposed). Honest: shows an Unverified state instead of guessing. Free, no API key. For Claude, ChatGPT, Cursor & any MCP client.
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    358 npm
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    Enables LLMs to interact with the AT Protocol ecosystem, including Bluesky, through natural language. Supports public data access without authentication and full write operations with authentication.
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    38 npm
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    MIT
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    Analytical memory for AI agents: a real Postgres your agent connects to over MCP and queries in plain English — GROUP BY, JOIN, aggregate over what it remembered, not just top-k vector recall.
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    Google Search Console for agents: search analytics by query, page, country, and device, plus a striking-distance report for queries ranking just off page one. Also lists, submits, and removes sitemaps and inspects URLs for index status, last crawl, and canonical.
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    38 npm
    MIT
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    Share the HTML your agent just wrote as a tracked link in one MCP call, then read back who opened it and which sections they read. Open source, AGPL-3.0.
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    AGPL 3.0
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    Generate and render PlantUML diagrams from natural language. A pure Node.js MCP server that creates, validates and explains UML diagrams (sequence, class, activity, state, component and more) as SVG — with zero Java and zero external server. Tools: render_diagram, check_syntax, explain_diagram. Just run npx @plantuml/mcp-js.
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    LGPL 3.0
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    Audits Japanese construction and renovation estimates for overcharge. Fair price ranges by work type, red flag checks for sales tactics, and signed recomputable verdicts. Backed by the open JCCDB dataset (65,729 items, CC BY 4.0).
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    MIT
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    Point-in-time access to Luxembourg law and ten EU acts: what any law said on a given date, not just the current text. 1,409 consolidated works and 4,705 dated versions from the official Legilux and EUR-Lex sources. Ten read-only tools: as-of text, timelines, per-article history, diffs between dates, and hash-verifiable provenance. No key.
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    Apache 2.0
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    Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.
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    invinoveritas is a Lightning/x402/card-paid AI verification and decision-intelligence MCP server. Get a neutral pre-action verdict (/review), a signed proof after (/prove), and strategic analysis/decisions (/reason, /decision) -- checkable against a public on-chain track record (/ledger), not just trust. Pay via Lightning (L402), USDC (x402), or card.
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    Apache 2.0
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    Mimir is Perseus's external persistent memory backend — a lightweight Rust MCP server that stores cross-session facts so agents remember what they learned last week. Zero network calls, no API keys, just SQLite + FTS5 running alongside your workspace.
    43
    72
    MIT
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    Checks whether a number is real or just noise: peek-safe A/B tests you can look at as often as you like without inflating false positives, two-sided change detection, and a guard for when a metric moved only because its sample size did. Zero dependencies, standard library only.
    6
    MIT
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    Provides shared long-term memory and proactive suggestions across AI coding agents, enabling persistent user preferences and behavior rules that are remembered and applied across different tools. Includes memory capture, recall, extraction, and suggestion tools with a local-first and privacy-focused design.
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    MIT