"How to review merge requests in GitLab" matching MCP servers:

An MCP server that extracts fields from documents and holds uncertain extractions for human review, ensuring high confidence data flows automatically while uncertain cases are resolved manually.

Mines public App Store and Steam reviews to surface the complaints, rating drops per version, and common pain points across one app or a set of competitors, with no API keys required. Enables natural-language comparison of up to eight apps or games by country and category so users can spot product opportunities and gaps.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

MCP server for the Mamba Labs Trustpilot Reputation Enricher actor on Apify. Resolve a company domain to its Trustpilot rating, review count and claimed status.

A multi-agent literature review pipeline that uses specialized agents to research, peer-review, and synthesize academic and practitioner perspectives into grounded reports.

Provides a single-purpose MCP tool that evaluates paper excerpts and returns calibrated ordinal scores for soundness, novelty, and clarity plus an accept/revise/reject decision with confidence metrics.

Enables mining Amazon product reviews for one ASIN per request — fetching paginated reviews, surfacing complaint signals from critical reviews, summarizing sentiment and rating trends over time, ranking complaint themes, and producing a combined per-ASIN report across 14 marketplaces.

An academic paper management tool that enables multi-source research searching, batch PDF analysis, and the generation of comprehensive, cross-literature reviews. It features intelligent token compression and quality evaluation to streamline the literature review workflow for researchers.

Automates carbon credit project registration document review, transforming 6-8 hour manual reviews into 60-90 minute guided workflows with automated document discovery, evidence extraction, cross-validation, and compliance report generation.

Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables aspect-level sentiment mining from customer reviews and produces satisfaction radar breakdowns with structured output for AI agents.

Sourced product prices, dated price history, specs and independent-test coverage across 4,764 hardware products and 2,064 software vendors — every figure returned with its source URL and the date it was captured. Unknown values come back as null rather than a guess, so an agent can cite what it surfaces.

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

Enables aspect-level sentiment mining of customer reviews, producing satisfaction radar breakdowns and structured sentiment analysis through MCP-compatible clients.

Enables searching and retrieving Sri Lankan business reviews and doctor profiles from Review Guru, with tools for listings, reviews, search, and categories.

An MCP server that connects LLMs to CERN GitLab to discover and analyze High Energy Physics code, documentation, and analysis examples. It provides 14 tools for repository browsing, dependency parsing, and CI/CD configuration analysis.

Search and retrieve academic papers from arXiv and DBLP databases, with AI-powered prompts to generate comprehensive research summaries, discover related topics, and identify leading authors in any field.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Read-only MCP server over the charted data of Leimroth et al. (2026), a scoping review of EEG and ECG in music listening. Exposes the review's eligibility criteria, search strategy, reporting gaps, and per-study data for its 18 included studies.

Enables MCP clients to search arXiv and OpenAlex literature and generate structured literature survey Markdown with normalized paper metadata.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Enables AI clients to securely upload, query, and read research project materials under OAuth 2.1 and per-material access policies.

Cursor plugin: Arch theological review API (POST /v1/review)

An MCP server for the Zotero Web API v3 that lets you search, read, and write items, collections, tags, and notes in a Zotero library, supporting literature-review workflows.

Read any public web page, or up to 20 in one batch, as a clean AIDocument: Markdown plus title, description, structure, and provenance, with navigation and boilerplate stripped. Reads are served through Lyrenth's own independently built web index, so each costs a fraction of the tokens of raw HTML and is origin-friendly. A third tool reports your plan and how many reads you have used.