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    Enables AI coding agents to check Travis CI build status, identify failing jobs, and read job logs, with read-only access enforced via GET-only requests and a limited tool set.
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    MIT
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    Security auditor for CI ecosystems that detects supply-chain and injection flaws in CI/CD configuration files across seven CI platforms, providing taint analysis, remediation, and compliance scoring.
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    MIT
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    MCP server with the watch_ci tool that polls GitHub Actions until a commit's CI run finishes, then returns the outcome and failed log tail in one call.
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    MIT
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    MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.
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    117 PyPI
    2
    MIT
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    Enables AI coding assistants to inspect GitHub Actions CI runs, diagnose failures with failed-step summaries and filtered job logs, read per-job coverage, and view pull request checks through read-only, allowlisted access.
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    MIT
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    A TypeScript-based MCP server scaffold designed for monitoring and interacting with Drone CI environments. It provides tools for webhook parsing, HMAC signature verification, and state management for CI/CD pipelines.
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    Apache 2.0
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    Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.
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    53 npm
    MIT
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    A local decision graph built from your repo's git history, PRs, ADRs and CLAUDE.md/AGENTS.md, plus Jira, Linear, Notion, Slack and others read-only. Coding agents query it for what was decided and why, and every edit is checked against it before it is written.
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    3,561 npm
    14
    MIT
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    Enables AI agents to submit npm, PyPI, Go, or Maven packages and manifests to the free OSV.dev database and receive per-package and per-advisory results with CVE mappings, CVSS scores, severities, and the versions that fix each issue. It also supports filtering by minimum severity, de-duplicating alias advisories, and machine-readable error/warning rows for CI gates and upgrade recommendations.
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    MIT
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    Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.
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    MIT
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    MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.
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    MIT
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    Enables AI agents to search IETF RFCs, inspect obsolescence status, list section headings, and read only relevant sections with clean text. It helps agents avoid citing superseded specifications while reducing context usage.
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    MIT
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    Standalone MCP server and CLI for generating images via ChatGPT backend, with reliable exact file paths and multi-account login support.
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    Local MCP decision gate for AI agents and CI/CD: check candidate actions against owner-controlled policy and proposal-bound evidence. Three read-only tools report admissible options, missing evidence, and SHA-256 receipts. No selection, execution, or DeltaX API key.
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    36 npm
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    Apache 2.0
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    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.
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    664 PyPI
    1,028
    Apache 2.0
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    Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.
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    MIT
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    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
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    41 npm
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    Apache 2.0
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    Enables AI agents to make pay-as-you-go AI inference requests through x402 with automatic Solana USDC payments, no API keys or registration, while enforcing configurable spending limits.
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    89 npm
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    MIT No Attribution
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    8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits
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    Five-layer agent memory over MCP. zenbrain_store routes each memory: steps to a procedure, emotional weight to an episode, high confidence to a pinned core memory, the rest to a semantic fact. zenbrain_recall returns results with id and layer; zenbrain_forget deletes one plus what consolidation linked to it; zenbrain_consolidate runs one sleep-like pass. Local SQLite, no account, no network call.
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    Apache 2.0
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    Enables clients to interact with PipesHub data and functionality through MCP, including chat, search, record retrieval, directory browsing, sources, and agents.
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    3,923 npm
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    Apache 2.0
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    Official SQAI MCP server: governed structured data access powered by Mojo kernels. 3 stdio tools: listSources (discovery), queryData (deterministic read-only queries + compute with provenance), explainQuery (dry-run validation). Introspection needs no credentials; execution requires a one-time free sqai login. npm: @thyn-ai/sqai-mcp. Source: packages/mcp. Registry: io.github.thyn-ai/sqai.
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    Apache 2.0
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    Turns team chat (Slack, Discord, MS Teams, Mattermost) into a living knowledge base - a typed knowledge graph plus auto-generated wiki - exposed to AI agents through a 28-tool MCP server with semantic search, expert finding, and decision tracing.
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    453
    Apache 2.0