Skip to main content
Glama
115,008 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A server for finding information about content ranking systems and algorithms" matching MCP servers:

GET /v1/servers – MCP directory API reference
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables agents to browse and retrieve benchmark reasoning tasks, deterministically grade submitted answers, run the evaluation suite against a model provider, and inspect data provenance and the ranking-stability index entry. It also supports scoring stability analysis across repeated runs and prompt variants via its tools.
    26 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/
    8
    283 npm
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org
    16
    11
    42 npm
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.
    7
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Plan SEO pages in an SEO Content Machine Workspace, then have its page agents research, write and review each page as a draft. A stdio bridge to the SCM desktop app, which must be running on the same machine.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Lets Claude Code and other MCP clients drive the SEO Content Machine desktop workspace on the same machine: starting and running tasks that scrape search results, crawl a site's internal links, pull Google Maps listings with ratings and reviews, download archive.org copies, extract page values into CSV, and add or update SEO Workspace pages, then read their results.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    180 PyPI
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.
    3
    480 npm
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.
    6
    3 npm
    60 PyPI
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
    2
    29 npm
    25 PyPI
    4
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.
    10
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.
    42 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner(ZH):给任何 AI agent 一个可校验的内容规范与资产底座——先查契约,再落笔。 描述 / Description:只读 MCP 服务器:把长内容的验收标准(协议 / 模块 / 管线 / 资产 / 馆藏)变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt(assemble_guide);支持 modern 2026-07-28 与 legacy 2025-11-25 双协议;零第三方依赖(Python 标准库);无写路径。 仓库 / Repo:https://github.com/Monyeah777/NinFenz 站点
    12
    1
    AGPL 3.0
  • A
    license
    A
    quality
    A
    maintenance
    Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
    12
    6
    753 PyPI
    883
    Apache 2.0