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Enables local semantic search over PDF, DOCX, PPTX, and EPUB documents by converting them to Markdown, indexing them in ChromaDB, and retrieving complete structure-aware sections with tables and equations.

Read-only MCP server to query IPVA (vehicle tax) details from the official SEFAZ RO source in Rondônia, Brazil.

US health-insurance claim denials and appeal outcomes, by insurer.

A Model Context Protocol (MCP) server that integrates with Atlassian Jira to search issues, retrieve details, access comments, create new issues, and update issues.

MCP server for Canvas LMS that exposes courses, assignments, modules, pages, files, grades, and submissions as tools for AI agents.

Kommt noch

This MCP server provides comprehensive access to the PubChem chemical database through 30 specialized tools covering compound search, structure analysis, property calculation, bioassay data, safety information, and cross-references to external databases. Built by Augmented Nature using TypeScript and the PubChem REST API, it enables chemical informatics workflows including similarity searches, ADMET prediction, drug-likeness assessment, toxicity analysis, and batch processing of up to 200 compounds. The implementation supports multiple search methods (name, SMILES, InChI, CAS numbers), provides detailed molecular descriptors and 3D conformer data, and integrates safety classifications with literature references, making it valuable for drug discovery, chemical research, regulatory compliance, and educational applications in chemistry and pharmacology.

Model Context Protocol (MCP) endpoint served directly from a Grav site over Streamable HTTP

Provides MCP tools to check a package's maintenance status, licence, and security advisories before you depend on it, with per-call payment in USDC on Base mainnet via x402.

Model Context Protocol server for the JSR (JavaScript Registry)

MCP server for memopaper.dev that gives AI agents direct access to a memo buffer, enabling memo creation, retrieval, editing, and deletion via natural language.

Provides automated link validation capabilities through the linkinator library. Performs recursive link crawling within domains, supports HTML, CSS, and Markdown parsing, validates anchor fragments, and delivers detailed error reporting grouped by status code. Includes extensive configuration options for timeouts, retries, SSL settings, and concurrency control.

Agentic HR assistant providing employee, leave, meeting, ticket, and email tools over the Model Context Protocol, designed to automate onboarding workflows via an MCP client such as Claude Desktop.

Enables AI assistants to search and retrieve movie information from The Movie Database (TMDB) API through the Model Context Protocol interface.

A thin stdio gateway to Nodus's Streamable HTTP MCP server, exposing a curated allowlist of tools for the Research Workbench. It enables secure, bearer-authenticated interactions with Nodus without graph logic or caching.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Excel Power Pivot data models. Create and manage DAX measures, relationships, and more through natural language.

A simple MCP server that reads local images and returns them as ImageContent for LLM vision analysis.

MCP server for portable reputation and skills passports in East Africa — worker profiles, verified service records, trust scores, and professional references for economic mobility. 6 tools.

This DynamoDB MCP server, developed by Iman Kamyabi, provides a comprehensive interface for managing Amazon DynamoDB resources through the Model Context Protocol. It offers tools for table management, capacity adjustment, and data operations, enabling AI assistants to interact with DynamoDB using natural language commands. Built with TypeScript and leveraging the AWS SDK, this implementation stands out by offering a wide range of DynamoDB-specific operations while maintaining safeguards against accidental data deletion. It's particularly useful for developers and database administrators who want to streamline their DynamoDB workflows, automate routine tasks, or integrate AI-assisted database management into their existing tools.

Provides AI agents with 40 tools for structured data storage, querying, web search, URL fetching, scheduled jobs, and execution through the Model Context Protocol.