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    Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.
    20
    MIT
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    Enables fast literal and regex search over local workspaces using a sparse n-gram index for candidate pruning, with deterministic verification against file contents.
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    MIT
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    Deterministic encode, decode, hash and convert for agents, on the same pipeline engine as the String Utility Belt web app, CLI and editor extensions: a pipeline built and checked in the browser runs unchanged from its share link. Base64/hex/URL, JWT, hashes, JSON/YAML/CSV/XML, dates and regex; tools to search, describe and run utilities or whole pipelines, and to detect input formats. Runs locally
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    MIT
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    Enables AI agents to prepare, preview, quote, and send approved faxes, track delivery and evidence, read inbound faxes, extract data, and request human approvals through a fax API.
    15
    1,369 npm
    MIT
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    Read-only MCP server for Grafana Loki: lets AI agents (Claude Code, Cursor, Copilot) discover labels, read bounded LogQL pages, count lines by label or time, and export logs — across several Loki stands
    5
    Apache 2.0
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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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    136 npm
    10
    MIT
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    A TypeScript-based server that enables programmatic management of pseudo-terminal sessions. It allows users to spawn, control, and interact with terminal processes in real-time through the Model Context Protocol.
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    6 npm
    AGPL 3.0
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    Let AI agents search and read your mail: on-premises Microsoft Exchange (EWS, no cloud API or admin setup) and any IMAP mailbox, tested on Mail.ru and Gmail. Text inside PDF, Office and ZIP attachments is searchable in Russian and English. Runs from a local copy, and read-only is enforced at the protocol level.
    9
    Apache 2.0
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    Find prospects, verify their emails, spot buying signals, draft grounded outreach and stage campaigns, all from a conversation with your AI assistant, using your own API keys.
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    70 npm
    MIT
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    Enables Yelp business search, place details, and full review feeds as structured JSON through a hosted MCP endpoint, with no Yelp Fusion key required.
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    64 npm
    10
    MIT
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    A full finance desk for your AI agent: 355 tools in one free server with no API key, reading SEC filings, earnings guidance, insider trades, options, rates and macro data from the source, plus quant analytics and backtest validation. The agent sees 5 tools and searches the rest, so it stays light on context.
    5
    3,114 npm
    1
    MIT
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    An offline MCP server for SAP ABAP that provides static analysis, ABAP Cloud readiness checks, and RAP scaffolding using abaplint, enabling AI agents to analyze and generate ABAP code without a live SAP system.
    18
    202 npm
    2
    MIT
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    An MCP server that turns AI assistants into competent Festo/CODESYS PLC engineers by grounding them in curated, manufacturer-accurate knowledge and forcing every artifact through a machine-checked validation pipeline for CODESYS import.
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    65 npm
    2
    MIT
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    Read-only MCP server for self-hosted SonarQube Community Build 26.4+: lets AI agents (Claude Code, Cursor, Copilot) read issues, security hotspots, rules and code snippets to fix findings locally
    13
    MIT
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    MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.
    25
    76
    MIT
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    Searches hotels and vacation rentals with nightly and total rates, ratings, amenities, and detailed property information through natural language in any MCP client.
    1
    138 npm
    19 PyPI
    2
    MIT
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    Gives AI assistants a read-only, offline interface to the FinOps Foundation's published guidance — its principles, phases, domains, 22 capabilities with Crawl/Walk/Run maturity assessments, personas, and an 88-entry KPI library — so FinOps questions are answered with the Foundation's own text and formulas rather than improvised ones. It exposes 11 tools, document resources, and four guided prompts over stdio, with every response carrying its source URL and license.
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    42 npm
    MIT
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    Enables MCP clients to search Walmart products by keyword or category, retrieve product details including the buy box and other sellers, and page through customer reviews with filters, all as structured JSON without a Walmart developer account.
    3
    59 npm
    17 PyPI
    10
    MIT
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    Publish web games on Gamealia from your AI coding assistant: analyze the project, integrate the SDK (or migrate from Poki/CrazyGames), run a desktop and mobile browser autotest, write the listing and upload the build for review. Developers keep 60-70% of the ad revenue, no exclusivity.
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    840 npm
    MIT
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    Local design engine for AI Agents. Create, edit and export real, editable designs — social posts, flyers, print-ready PDFs — with your brand applied. Every design opens in a built-in editor, so you can click the text and fix it yourself instead of re-prompting. Bring in what you already have: InDesign, PSD, PPX and PDF files come in as editable designs. Runs on your machine, no account needed.
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    MIT
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    Enables Claude and any other MCP client to place and control voice calls, run conferences, stream call audio to AI agents, build IVRs, read call records and recordings, manage phone numbers, SIP trunks, applications, sub-accounts and billing, and send SMS/MMS/RCS on a Vobiz account. Calling, messaging and account changes stay off until explicitly enabled, with every write confirmed, rate-limited and idempotent.
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    104 npm
    MIT
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    The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.
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    MIT
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    Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.
    5
    1,327 npm
    26
    MIT