"MCP server for remembering key project decisions, tracking framework and settings" matching MCP servers:

An MCP server exposing the EU Birds Directive Art. 7(4) 'Key Concepts' data: the periods of reproduction and pre-nuptial migration for each huntable bird species in each Member State. It lets you check whether a given hunting-season date falls within a protected period.

MCP server for key driver and feature importance analysis based on rule mining

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.

Enables high-performance access to USPTO Final Petition Decisions API with intelligent context reduction (80-99%), customizable fields, hybrid document extraction (free PyPDF2 + Mistral OCR fallback), and seamless cross-MCP integration for complete patent lifecycle analysis including prosecution history, PTAB challenges, and citation intelligence.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

Provides B2B positioning and messaging tools based on the IMPACT Framework, enabling analysis of champions, competitors, and value propositions to craft compelling messages and execute strategic audits.

Enables AI agents to manage citations in Microsoft Word via EndNote, including DOI-verified paper search, RIS import/export, and genuine CWYW IEEE citations.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

Read-only relational-readiness preflight for AI agents evaluating market trust, permission, evidence gaps, pilot readiness, and scale readiness in African and other high-context markets.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.

Enables LLM agents to programmatically inspect hardware resources, run in-memory inference benchmarks, list supported fMRI studies, and retrieve cortical and subcortical atlas region indices via JSON-RPC 2.0.

Enables agents to evaluate smooth pursuit velocity gain, retinal velocity error, and saccadic substitution kinetics through deterministic JSON-RPC tools. It supports visual fatigue and attention biomarker analysis using standard-library Python calculations.

Extracts structured key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides output in multiple formats (JSON, YAML, TOML) with type safety.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

MCP server for OP3 podcast analytics: downloads, geography, app share. Read-only.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

Provides MCP access to plan and execute reproducible computational experiments with immutable execution plans, artifact provenance, verification checks, and support for direct, Slurm, and PBS backends.