"Project dependency resolution and analysis" matching MCP servers:

An MCP server that performs comprehensive health checks on project dependencies for JavaScript and Python projects, detecting outdated packages and fetching changelogs.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

MCP server that evaluates compatibility between exact versions of packages and runtimes using official evidence, returning structured verdicts (supported/unsupported/unknown) with sources and limitations.

AI-powered terrain analysis for any location on Earth. Uses super-resolution and computes environmental risk metrics including erosion, water flow, and a composite Site Intelligence Score.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.

Enables querying options chains and estimating gamma exposure for ETFs and liquid underlyings, including proxy gamma calculations and historical gamma snapshots.

Automates remediation of Java library vulnerabilities by processing a security advisory Excel export, scoping to a Spring Boot Maven app, applying version upgrades to pom.xml, and verifying the build.

MCP server that enables LLMs to read and analyze Microsoft Project schedules, including critical path, resources, and advanced construction planning layers (AWP and LPS) for work packages and Lean planning.

Dependency Updater AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

An MCP server for institutional quantitative intelligence, integrating Calera FinSec SEC auditing, ICX infinite context memory, level-2 order book analysis, SQL backtesting, and post-trade execution auditing with security safeguards.

Provides structured migration briefs for LLM coding agents covering breaking changes, codemod coverage, and hallucination warnings for major version bumps of packages like tailwindcss, next, and react.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Sentiment Analysis AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

FastMCP server for image analysis providing OCR, metadata, and EXIF extraction.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

MCP server that parses aviation accident reports (PDF/DOCX/TXT) and injects their content into extraction prompt templates for knowledge graph construction.