"Redmine Project Management Tool" matching MCP servers:

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

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

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

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

A universal paper downloader MCP that probes providers by DOI/identifier, downloads to a short-lived staging area, validates PDFs, and cleans up, while leaving final storage and management to the calling project.

A Windows-based MCP server that exposes NIST's CONTAM simulation tools and ContamX bridge-mode controls to AI agents. It enables automated airflow and contaminant transport modeling, including project inspection, simulation execution, and real-time bridge session management.

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.

MCP server for Kaggle API integration that allows creating, running, and managing Kaggle notebooks programmatically.

Enables automated data import, analysis, graphing, and project management for Origin/OriginPro through a hardened MCP interface with constrained file access and optional expert LabTalk mode.

This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.

Open-source MCP server for Bisibility, providing tools for keyword rank tracking, SERP history, keyword research, backlinks, alerts, reports, and project management. Runs locally through npm or Docker and connects to Bisibility Cloud or a self-hosted instance.

Enables the creation and management of business design artifacts including Business Model Canvases, SWOT analyses, and user personas. It features project organization and AI-powered research tools to automatically populate frameworks with market data.

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

A hosted Model Context Protocol server that connects AI agents to a project-scoped growth workspace, exposing tools for project knowledge, analytics, research, planning, media generation, drama intelligence, and skill sync.

Enables interaction with Comet ML's experiment tracking platform through the Model Context Protocol, providing tools for experiment management, project organization, and advanced search.

Enables MCP clients to query the Open Science Framework for public research project metadata, abstracts, and component listings using OSF project IDs or URLs.

Enables project-based auto-research by tracking evidence across a Problem × Evidence Matrix, grading evidence quality, and honestly reporting insufficient evidence rather than hallucinating.

MCP server for reading OPC events from the OPC one-person company tool station via personal API key. It provides an opc_list_events tool to fetch event lists, designed for use with Claude Desktop, Cursor, and Cline.

Access data on every NIH-funded research project. Free and no authentication required.

Enables a connected frontier-model assistant to develop research grant proposals with traceable evidence, claim review, and versioned drafts. It preserves source passages, judgments, proposal versions, and editable exports in a local research workspace.

Access to 1000 Genomes Project dataset, hosted online in Dnaerys variant store

Provides honest A/B test verdicts using interactive cards, with statistical calculations for conversion rates, sample sizes, and Bayesian probability-to-beat.

Enables lookups against the Debian iso-codes project JSON for ISO country, language, and currency codes.

Enables any MCP-capable agent to call Kimi Code's official managed web search, URL fetch, and 25+ professional data sources (Wind, SEC EDGAR, S&P, World Bank, IMF, FRED, Tianyancha, arXiv, Scholar, Chinese law & standards, WHO/FAO/OECD, Xinhua, Caixin) through a zero-dependency stdio server. Each user signs in with their own paid Kimi account via OAuth device flow, and credentials are stored locally with tokens never exposed to agents.

Enables querying HEC-RAS project information, geometry elements, plan results, and compute messages through natural language, allowing interaction with hydraulic modeling projects.

CSV Tools AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables Claude to search Bar-Ilan University's Responsa Project, browse its sources tree, and retrieve the full text of search hits or individual texts by automating the Responsa desktop app. It also provides a hard reset tool to recover the app when it gets stuck.

MCP server for Jupyter notebook navigation and editing. Reads .ipynb files directly as JSON, providing efficient tools for reading, searching, and modifying cells without needing a Jupyter server.

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.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.