"PostgreSQL MCP (Multi-Version Concurrency Control or specific usage)" matching MCP servers:

Enables AI clients to perform autonomous multi-agent deep research through MCP tools, including deep research, quick search, and retrieval of archived Markdown reports with live web search and source citations.

A read-only MCP server for searching control science and engineering papers via OpenAlex, limited to core journals in the field.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Enables searching and accessing ArXiv research papers with advanced query capabilities, and provides sequential thinking tools for structured problem-solving. Supports Boolean operators, field-specific searches, author lookups, and dynamic thought processes through a modular Docker-based architecture.

Exposes Kalshi prediction market data as tools for Claude, enabling multi-agent research pipelines that analyze markets and produce confidence-rated trade signals.

Enables human-coordinated multi-agent workflows for Earth-observation research, Cube Chess 512 self-play benchmarking, and reversible visual QA through WebMCP tools with verification and approval gates.

MCP server that analyzes your writing style to generate personal voice rules, scores drafts for AI slop, and verifies authorship, enabling LLMs to write in your specific voice.

Read any public web page as a clean AIDocument: Markdown plus title, description, and structure, with navigation and boilerplate stripped. Reads resolve through Lyrenth's shared cache, so it is far fewer tokens than raw HTML and origin-friendly.

An MCP server that guides Copilot to version-correct documentation and source code for Industrial Ecology Python packages, enabling reliable, environment-aware coding assistance for LCA workflows.

MCP server exposing Adzuna's job search and salary analytics APIs as tools, including job search, category listing, salary histograms, top companies, regional data, historical salary data, and API version checking.

Enables asking questions to AI twins representing specific audiences for research purposes.

Access to the new Open English Translation of the Bible with both a Readers' Version and a Literal Version

Enables AI clients to produce probabilistic forecasts with prediction intervals for numeric time series such as sales, demand, traffic, and sensor readings, using a panel of zero-shot foundation models or an accuracy-weighted ensemble. Supports up to 64 series per call, optional covariates, horizons up to 512 steps, and usage or credit checks, all without training or feature engineering.

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 LLMs to access and analyze ESPN fantasy football leagues through read-only MCP tools, covering rosters, scores, transactions, standings, lineup audits, and league-specific rules.

Enables searching and retrieving CAIE past-paper questions with filters for subjects, years, and specific topics. It provides LLM-friendly responses including concise text previews and structured JSON data for single or multi-topic queries.

Automates academic research from multi-source search to APA 7 formatted .docx output.

An MCP server that enables AI assistants to read, search, and analyze PDF files from local paths or URLs. It provides tools for extracting specific page ranges, searching for terms, and retrieving document metadata.

Enables MCP clients to control the local Open Science research application, including creating projects, starting or continuing research sessions, inspecting progress and plans, canceling runs, and reading generated artifacts.

Read-only MCP server for options research with server-side filtering to reduce token usage. Supports Tradier and Alpaca data providers.